- Comp-neuro - lists.cnsorg.org

Fellowships in the Center for Studies in Physics and Biology at Rockefeller University
by jzavatoneveth＠rockefeller.edu Nov. 6, 2026

Nov. 6, 2026

Dear colleagues, The Center for Studies in Physics and Biology expects to have a small number of postdoctoral fellowships available for appointments in September 2027. We are seeking theoretical physicists, mathematicians and computer scientists with a demonstrable interest in the interface between their discipline and biology. The Fellows are to be at that stage of career as to function as independent members of the Center, free to work alone or in collaboration with any members of The Rockefeller University faculty. The appointment is nominally for two years, with a third year implicit, but based on mutual satisfaction. Applicants should submit curriculum vitae, including a list of publications, a 3-page (maximum) research statement and three letters of recommendation by November 30, 2026. The contents of all letters should be addressed to: Director, Center for Studies in Physics and Biology, The Rockefeller University, 1230 York Avenue, Box 75, New York, NY 10065-6399. Applications should be submitted here: https://cspbfellow.rockefeller.edu Consideration will be given to late received applications. Best regards, Jacob Jacob Zavatone-Veth Assistant Professor and Head of Laboratory Laboratory of Theoretical Neuroscience The Rockefeller University

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Summer school in Brazil March 2027
by Kalel Rossi Nov. 6, 2026

Nov. 6, 2026

Dear comp-neuro members, The ICTP South American Institute for Fundamental Research (ICTP-SAIFR) is offering a summer school in Brazil on Brain Dynamics <https://www.ictp-saifr.org/sbd2027/> in March 2027. The school will introduce concepts and methods from nonlinear dynamics with applications to neuroscience, with lectures headed by Aneta Koseska, Bard Ermentrout, Elif Koksal, Mauro Copelli, Rubén Moreno Bote and Xiao-Jing Wang. The school will take place in Sao Paulo, at ICTP-SAIFR <https://www.ictp-saifr.org/2027-activities/>, from 15-26 March 2027. *Registration* is free and open until 3 December 2026. Link to the registration is available at https://www.ictp-saifr.org/sbd2027/. For further inquiries, please do not hesitate to contact kalel.rossi(a)mpinb.mpg.de or bruna(a)ictp-saifr.org. Best On behalf of the school’s organizing committee Kalel Rossi, PhD

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Postdoc & PhD student positions
by Haefner, Ralf Nov. 6, 2026

Nov. 6, 2026

Postdoctoral and graduate student positions available How does the brain infer causal relationships in the world? How do beliefs about the causal structure of a scene influence motion perception? How can the underlying computations be modeled using Bayesian inference, and how can these computations be tested using neurophysiological experiments? For this collaborative project between the computational neuroscience lab of Dr. Ralf Haefner, and the neurophysiology lab of Dr. Gregory DeAngelis, both at the Department of Brain & Cognitive Sciences at the University of Rochester, we are looking to recruit two postdoctoral fellows and PhD students. This project is highly collaborative with all researchers being involved in most aspects of the project from experimental design to data collection to data analysis & theory development. The project is based on our prior collaborative work [1,2] and we will have two related posters at the upcoming SfN meeting [3,4]. For the theoretical/computational efforts, candidates are expected to have a background in a quantitative field like computational neuroscience, machine learning, math & psychology, etc.. For the experimental efforts, candidates are expected to have a background in neuroscience, experimental psychology, biomedical engineering, or a related field, and previous research experience in systems neuroscience is highly beneficial. If interested, please submit your CV, a statement of research interests, and the names and contact information for three references to ralf.haefner(a)rochester.edu or gdeangelis(a)ur.rochester.edu. Ralf will also be at SfN to answer any questions. The UR/BCS department is at the center of a vibrant and supportive scientific community. It has particularly strong ties to the Center of Visual Science, the Department for Neuroscience, the Department for Computer Science, the Department for Linguistics, and the Data Science Institute. Rochester in upstate NY is family-friendly and affords a high quality of life with access to a world-class symphony, museums, and a wide range of outdoor activities: several parks within cycling distance, 20min by car to sandy beaches on Lake Ontario, 1h to Finger Lakes / wine country / skiing, 3h to great hiking in the Adirondacks. We also have a balanced 4 season climate with weather for every occasion: Lilac Festival in the spring, beautiful sunny summers (<10 days above 90 degrees), gorgeous fall foliage, and guaranteed snow in the winter. More info here: https://www.visitrochester.com. [1] Shivkumar, S., DeAngelis, G. C., & Haefner, R. M. (2025). Hierarchical motion perception as causal inference. Nature Communications, 16(1), 3868. [2] Lengyel, G., Shivkumar, S., DeAngelis, G. C., & Haefner, R. M. (2026). Bayesian causal inference unifies perceptual and neuronal processing of center-surround motion in area MT. eLife. https://doi.org/10.7554/eLife.110621.1 [3] Dong et al. (2026). Neural correlates of speed-dependent relative motion perception in area MT. SfN Poster# PSTR184.01 / AA2, WCC Halls A-C, Nov 16, 1-5pm [4] Yuan et al. (2026). Motion perception as causal inference: testing the causality assumption. SfN Poster# PSTR184.02 / AA3, WCC Halls A-C, Nov 16, 1-5pm

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Computational Neuroscience job search at University of Maryland (College Park)
by Daniel A. Butts Nov. 5, 2026

Nov. 5, 2026

The Department of Biology at the University of Maryland, College Park (UMD), invites applications from individuals using computational approaches to study fundamental questions in neuroscience for a tenure-track or tenured position at the rank of Assistant or Associate Professor. Computational neuroscience is defined broadly; research areas of interest include: biophysical and statistical modeling, computational neurogenetics, neural population codes, and the intersection of biological intelligence and AI ("NeuroAI"). Preference will be given to applicants with computational research programs that integrate experimental data (including multi-modal data) to address important issues in basic and translational neuroscience. This position is intended for applicants with research programs that have minimal or no wet lab components. The successful candidate will be expected to: Establish and sustain a vigorous, externally funded, independent research program in computational neuroscience. Teach undergraduate and graduate courses in neuroscience and/or quantitative biology and contribute to larger campus initiatives in neuroscience, quantitative biology, and/or NeuroAI. Participate in departmental, college, and university service and contribute to a collaborative academic environment. This position is part of a new Quantitative Biology Initiative in the Department of Biology supporting postdoctoral fellows and supports a new Predictive Biology Hub for Human and Environmental Health dedicated to fostering collaborative research and new educational programs in Quantitative Biology. Members of the Department work with colleagues across UMD, including in the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM), the Brain and Behavior Institute (BBI), the UMD Institute for Advanced Computer Studies (UMIACS), and the Institute for Systems Research (ISR). Faculty participate in a number of relevant graduate programs, including Neuroscience and Computational Science (NACS), Biological Sciences (BISI), Biophysics, and Applied Mathematics & Statistics, and Scientific Computation (AMSC). The Department also supports undergraduate programs in Biological Sciences (BSCI) and Neuroscience (NEUR). UMD is located in the Washington, D.C. metropolitan area, which is home to major national institutions and medical centers (e.g., the National Institutes of Health) and proximate to the Rockville Biotech corridor. Details and information on applying: https://umd.wd1.myworkdayjobs.com/UMCP/job/University-of-Maryland-College-P…

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Recruiting Ph.D students in computational cognitive neuroscience
by Stefano Anzellotti Nov. 5, 2026

Nov. 5, 2026

I am looking for a Ph.D student interested in using computational approaches, behavioral methods and/or neuroimaging to study one or more of the following areas: 1. Recognition of objects, actions and events 2. Multi-task learning 3. Agent understanding 4. Individual variation in autism and other psychiatric disorders The laboratory collaborates with Computer Science and Physics PIs, offering opportunities for interdisciplinary training. The position starts in Fall 2027, the deadline for applications is December 15, 2026. For inquiries please contact anzellos(a)bc.edu sending a CV and a brief statement of skills and research interests. Stefano Anzellotti (he/him) Associate Professor, Department of Psychology and Neuroscience Chair, Research Computing Committee Boston College https://sccnlab.bc.edu/

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[COMPLEX NETWORKS 2026] Program Announced – Join Us in Granada!
by Hocine Cherifi Nov. 4, 2026

Nov. 4, 2026

Dear colleagues, 🌐 *The scientific program of COMPLEX NETWORKS 2026 is now available!* Join us in *Granada, Spain, December 2–4, 2026*, for the *15th International Conference on Complex Networks and Their Applications*. 🎙️ *Five distinguished keynote speakers* Alexandra Brintrup · Nitesh Chawla · Kimmo Kaski · Bruno Lepri · Eckehard Schöll 📚 *A rich interdisciplinary program* 27 thematic oral sessions, 3 spotlight sessions, and 5 poster sessions covering network science, graph learning, complex systems, computational social science, and applications across disciplines. 🎓 *Tutorials — December 1* Fariba Karimi · Huijuan Wang 🤝 *More than a conference* COMPLEX NETWORKS is a unique meeting place where researchers from diverse backgrounds exchange ideas, engage in stimulating discussions, and build new collaborations. *Whether presenting or simply attending, everyone is welcome!* 📋 *Explore the program:* https://complexnetworks.org/program/ 🎟️ *Register:* https://complexnetworks.org/registration/ We look forward to welcoming you in Granada for this special 15th edition! Please share this invitation with colleagues and students who may be interested. Best regards, Hocine Cherifi General Co-Chair, COMPLEX NETWORKS 2026 Join us at COMPLEX NETWORKS 2026 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Université Bourgogne Europe Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/> Evolutionary Intelligence <https://link.springer.com/journal/12065>

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Fully-funded PhD position in neuroimaging studies at USC
by Z S Nov. 3, 2026

Nov. 3, 2026

Dear all, Description: Dr. Sha’s lab (https://shazhiqiang.wixsite.com/sha-lab) at the University of South Carolina is seeking *PhD students in neuroimaging studies *in the Department of Psychology. Our lab is affiliated with the Carolina Autism & Neurodevelopment Center, the Institute for Mind & Brain, and working closely with the McCausland Center for Brain Imaging in Columbia, center of SC Metropolitan Statistical Area. Our lab explores the mechanisms of atypical brain development and neurodevelopmental disorders (e.g., autism spectrum disorders) by leveraging computational modeling (e.g., deep learning models) to bridge neural circuitry, exposure (e.g., early life adversity) and psychopathological phenotypes, and treatment outcomes. These innovative projects will leverage state-of-the-art machine learning models and neuroimaging, supported by the brand-new Brain Imaging Center (with 3T and 7T MRI scanners) and the Biobehavioral Research Center at the University of South Carolina. This position provides an excellent opportunity for a self-motivated student to gain hands-on experience with neuroimaging (e.g., MRI) and biomedical research techniques. The candidate will have full access to rich in-house and public datasets, and advanced neuroimaging platforms. Our lab fosters a collaborative and productive environment, and we actively support PhD students in generating high-quality research publications, applying for fellowships and securing their future career paths. Key roles: · Data analysis; present results and publish papers under the PI’s supervision · Keep up-to-date on relevant studies and methods, and actively discuss them with the PI · Present your work at national and international conferences Requirements: · Bachelor’s or Master’s degree in a relevant field (e.g., neuroscience, math, data science, biostatistics, biomedical engineering) · Experience with neuroimaging MRI data analysis is preferred. · Candidates with coding experience are preferred. How to apply: Please submit your CV to Dr. Sha (zsha(a)mailbox.sc.edu)

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Fwd: World wide VVTNS series (7th season): November 4 2026 |Learning to Oscillate: Hebbian Plasticity Imprints Limit Cycles in Neural Networks| Pierfrancesco Urbi IPhT, Saclay France
by David Hansel Nov. 1, 2026

Nov. 1, 2026

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Pierfrancesco Urbi IPhT, Saclay France on the topic of Learning to Oscillate: Hebbian Plasticity Imprints Limit Cycles in Neural Networks The lecture will be held on Zoom on November 4, 2026 at *11:00 am ET * To receive the link: https://www.wwtns.online/register-page *Abstract: * Oscillatory activity is a hallmark of brain dynamics, yet how neural circuits learn to generate rhythmic patterns through biologically plausible mechanisms remains an open question. In this work, we investigate high-dimensional, non-linear dynamical systems—prototypical models of recurrent neural networks—exposed to incoherent periodic inputs and Hebbian-like synaptic plasticity. Our analysis reveals a striking phenomenon: depending on the interplay between the strength of the periodic drive and synaptic plasticity, the system’s phase diagram exhibits a regime where, once both inputs are removed, the network spontaneously settles into a limit cycle . This demonstrates that periodic drives can "imprint" lasting rhythmic patterns into the network’s connectivity, effectively teaching it to oscillate autonomously. Using dynamical mean-field theory (DMFT) and finite-size numerical simulations, we characterize this memorization phase , where the system retains a "memory" of the rhythm. We identify distinct dynamical attractors—chaotic, fixed-point, and limit cycle phases—and show that the limit cycle’s robustness depends on the metabolic time window between stimulation and plasticity halting. This work bridges the gap between driven and autonomous dynamics, offering a theoretically tractable yet biologically inspired mechanism for rhythm learning.

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Assistant Professor position at University of Arizona, Department of Philosophy, Consciousness Studies/ Philosophy of Mind
by Charles, Andrew Vincent - (andrewvcharles) Oct. 31, 2026

Oct. 31, 2026

Job category: Junior faculty / Tenure-track or similar Consciousness studies (construed broadly), or philosophy of mind and the philosophy of at least one special science relevant to the interdisciplinary study of consciousness such as cognitive science, psychology, neuroscience, AI, linguistics, or physics. AOC :Open Workload: Full time Vacancies 1 Organization's reference number: req27296 Location: Tucson, Arizona, United States Start date August 2027 Job description: The Department of Philosophy at the University of Arizona invites applications for a tenure track position at the rank of Assistant Professor, specializing in research on consciousness. In addition to candidates with a research focus on traditional philosophical questions regarding consciousness, we also encourage applications from candidates with strong research programs involving consciousness-adjacent areas of scientific inquiry. The Department seeks a researcher and teacher to contribute to its emerging interdisciplinary degree programs in Consciousness and to the overall philosophical life of the department. Candidates must have earned a PhD in Philosophy or another field relevant to consciousness research by the date of employment. Applicants whose PhD is not in Philosophy should include clear evidence of their research and teaching qualifications pertinent to a leading PhD program in philosophy. All applicants must demonstrate evidence of a commitment to undergraduate and graduate teaching. The standard teaching load in the department is 2 courses per semester. The individual hired will be expected to teach half of their courses at the undergraduate and graduate level in the philosophy of consciousness, and in other core related topics such as those listed in the AOS description; or also e.g. general philosophy of science; philosophy of biology; the philosophy of religion; neuroethics; AI ethics; or aesthetics. The individual hired will also be expected to engage actively in scholarship and participate in departmental, college, and university service, including participating actively in the long-established Center for Consciousness Studies, whose role is now expanding as a cross-disciplinary university center for both research and teaching. They will also be expected to participate actively in the graduate and undergraduate degree programs in Cognitive Science. The University of Arizona has a long history as a pioneer in the development of consciousness studies. Recently, the university has received significant donor support to create its new educational programs in consciousness studies for undergraduates and graduate students. To date we have created a unique undergraduate curriculum in consciousness studies, with increasing numbers of students; a parallel graduate program is under development. The programs now have an endowed chair in this area, with annually increasing funds for novel collaborative projects, with established programs in the cognitive sciences, information science, and neuroscience, among others. Applications should be submitted by November 7, 2026 for full consideration and include the following documents: • A brief cover letter • A curriculum vitae • A research statement, of no more than 2 pages • A statement of teaching interests and philosophy, of no more than two pages • Evidence of teaching excellence • A writing sample • At least three and no more than four letters of reference. Applicants with a PhD in a field other than Philosophy should be sure to have letters from at least two philosophers. For any questions please contact Dennis Tamblyn dtamblyn(a)arizona.edu. Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here. https://talent.arizona.edu/ How to apply Application type: Online Instructions Letters of Recommendation can be submitted the following ways: 1. Attach the letters as a single document and upload to the application. 2. Email the letters directly to Dennis Tamblyn, dtamblyn(a)arizona.edu. 3. Send the letters through Interfolio to Dennis Tamblyn, dtamblyn(a)arizona.edu. Web address to apply https://arizona.csod.com/ux/ats/careersite/4/home/... Deadline for full consideration: November 7, 2026, 11:59am MST Hard deadline No deadline specified (applications considered on an ongoing basis) Contact Web address for more information https://philosophy.arizona.edu Contact name Dennis Tamblyn Contact email dtamblyn @arizona.edu Contact phone 520-621-5045

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Graduate Program at the Center for Perceptual Systems
by Mary Hayhoe Oct. 30, 2026

Oct. 30, 2026

The Center for Perceptual Systems (CPS) at the University of Texas Austin is an exciting interdisciplinary center designed to foster communication and collaboration in the study of sensory systems, at the behavioral, neural, and theoretical levels. Members of the Center come from the Departments of Neuroscience, Psychology, and Computer Science and have strong expertise in the investigation of perception in the context of natural environments, and in the development of computational tools both for studying neural function and for modeling natural behavior. We encourage applications from PhD candidates with particular interests in these domains. CPS Training Program Faculty Thomas Elston: Cognitive control, decision-making, computational psychiatry Robbe Goris: Visual perception, neural computation, perceptual decision-making. Mary Hayhoe: Eye movements, visual attention, and visuo-motor coordination. Lori Holt: Auditory perception, cognition, learning and attention. Jarrod Lewis-Peacock: Working memory, cognitive control, memory regulation. Franco Pestilli: Visual system connectivity and white matter mapping. Nicholas Priebe: Intracellular recording, 2 photon microscopy and visual neurophysiology. Thibaud Taillefumier: Computational and theoretical neuroscience. Xuexin Wei: Computational and theoretical neuroscience, visual perception. Chen Yu: Early sensory-motor development and learning, visual attention, visuo-motor coordination and egocentric scene statistics. Yuke Zhu: 3D computer vision, robot perception, and embodied AI. Graduate trainees come from a range of home departments and programs, most commonly from the Interdisciplinary Neuroscience Program, the Psychology Department, and Computer Science. Graduate admissions are through the participating departments listed below, together with application deadlines. https://inp.neuroscience.utexas.edu/ Deadline: Nov 15th https://liberalarts.utexas.edu/psychology/ Deadline: Nov 15th https://www.cs.utexas.edu/graduate/degrees-and-programs Deadline: December 15th Mary Hayhoe Center for Perceptual Systems University of Texas Austin 108 E. Dean Keeton Blvd, Stop A8000 Austin TX 78712-1043 hayhoe(a)utexas.edu

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Postdoc Position at Radboud University (Nijmegen) in NeuroAI: Biologically Grounded Neural Networks for Cognition
by Paul Tiesinga Oct. 29, 2026

Oct. 29, 2026

Postdoc Position at Radboud University (Nijmegen) in NeuroAI: Biologically Grounded Neural Networks for Cognition _Can you help designing cognitive architectures to make brain implants smart in an international and interdisciplinary team involving the top neuroscience institutes in the Netherlands and thereby (ultimately) contribute to improve the life of patients?_ Brain implants are, for the most part, fixed-function devices. The EBRAINS-NEUROTECH infrastructure is building a tool chain that changes this: neural networks that perform the perceptual and cognitive processing an implant needs, run on-device, and can be adapted by the experimenter. You will build the core of that tool chain: a set of neural network modules for perception and cognition, grounded in what we know about the brain's own mechanisms. For this position you will develop NeuroAI-in-practice: a set of neural network modules that can be easily used and adapted by an experimental user, while also giving publishable scientific insights in and of themselves. Two use-cases, involving processing for vision implants and implants for cognitive restoration, will guide the work. These networks also have to run on-device. Together with a postdoctoral researcher from the Centre for Mathematics and Computer Science (CWI), you will translate the designs to a neuromorphic architecture. Does this sound like you? * You are a scientific programmer or postdoctoral researcher with excellent programming skills and a strong interest in NeuroAI. * You have a PhD degree in a quantitative field, such as physics, mathematics, computer science, engineering or computational or theoretical neuroscience. * You have experience with programming in Python and C in combination with deep learning tools such as PyTorch, TensorFlow, and JAX. * You have a background in neuroscience, preferably on mechanisms for cognitive processes, or a strong desire to obtain such a background. This position is physically hosted at the Neurophysics department of the Donders Institute at Radboud University. The work is part of the Software Platform of the EBRAINS-NEUROTECH infrastructure, involving teams at the University of Amsterdam (Dr Jorge Mejias), CWI (Prof. Sander Bohte) and Radboud University (Prof. Paul Tiesinga). To apply for this job please consult the Academic Transfer link: https://www.academictransfer.com/en/jobs/365079 For more information contact Paul Tiesinga at p.tiesinga(a)science.ru.nl

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ANNOUNCING the 2025 Best Illusion of the Year Contest Winners AND ACCEPTING SUBMISSIONS for the 2026 CONTEST!
by smart＠neuralcorrelate.com Oct. 29, 2026

Oct. 29, 2026

Dear Illusion Enthusiasts, Voters around the globe chose the Best Illusions of 2025 from the TOP TEN Finalists competing in the 20th edition of the Best Illusion of the Year Contest <https://illusionoftheyear.com/> (hosted by the Neural Correlate Society and supported by the Museum of Illusions <https://www.museumofillusions.com/> ). The TOP THREE winning illusions were revealed on Tuesday, October 27th, 2026. First Prize and a $3,000 award went to "Cogs in a Machine," by Jacky Z. J. Yueh and Joan Danielle K. Ongchoco, Canada. Second Prize and a $2,000 award went to "9 Purple Dots," by Hinnerk Schulz-Hildebrandt, United States. Third Prize and a $1,000 award went to "The Hole Truth," by Matt Pritchard, United Kingdom. This year's illusions are making headlines! Read The Washington Post's article featuring several of the illusions that just competed in the Best Illusion of the Year Contest: <https://www.washingtonpost.com/health/2026/10/27/how-this-years-best-optica l-illusions-trick-your-brain/> How this year's best optical illusions trick your brain. If you enjoyed the spectacular winning and finalist illusions, please consider making a tax-deductible donation <https://www.paypal.com/webapps/shoppingcart?flowlogging_id=d2461f180023b&mf id=1607894519576_d2461f180023b#/checkout/openButton> to the Best Illusion of the Year Contest. We rely on your generous help to continue to share the wonders of illusion with people of all ages and backgrounds, all over the world. We are now accepting submissions for the 21st edition of the Best Illusion of the Year Contest! If you have created a novel, mind-bending illusion, we invite you to share it with the world. Don't miss the opportunity to be part of next year's TOP TEN illusions and compete for international recognition and cash prizes. Contestants are invited to submit 1-minute YouTube videos featuring novel illusions (unpublished or published no earlier than 2025) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. Novel variants of known illusions are welcome. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * A video of yourself describing your illusion * A video animation/theatrical performance of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the TOP TEN. Then, online voters around the world will choose their favorite illusions from the TOP TEN finalists. The TOP THREE winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * Significance to our understanding of the human mind and brain * Simplicity of the description * Sheer beauty * Counterintuitive quality * Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the TOP TEN illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the Year Contest does not preclude you from also presenting or submitting your work for publication elsewhere. By participating in the Best Illusion of the Year Contest you agree to have your illusion posted on the Contest website, if selected among the TOP TEN, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion and receive full credit as illusion creator(s). Illusions submitted to previous editions can be re-submitted to the 2026 Contest, as long as they meet the above requirements and were not among the TOP TEN finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( <mailto:smart@neuralcorrelate.com> smart(a)neuralcorrelate.com) until December 14th, 2026. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ---------------------------------------------------------- Susana Martinez-Conde, PhD Author, <x-msg://2/championsofillusionbook.com> Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: <mailto:smart@neuralcorrelate.com> smart(a)neuralcorrelate.com Phone: <tel:%2B1%20718-270-4520> +1 718-270-4520 http://smc.neuralcorrelate.com

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Diagnosing inconsistent partial-cue recall in a small recurrent LIF network
by 오성민 Oct. 28, 2026

Oct. 28, 2026

Hello, I’m developing an independent, AI-assisted computational modelling project. My immediate goal is reliable partial-cue recall that depends on learned recurrent connections. I would appreciate advice on the first diagnostic to prioritize, or a published working model suitable for comparison. The network has 24 input channels, 96 expansion neurons, 48 excitatory recurrent memory neurons, and a fixed 32-neuron LIF readout. Input-to-expansion connections learn normalized input/spike coactivity during storage. Recurrent memory weights also learn; all weights are frozen during evaluation. The protocol presents a six-channel pattern P for 1,000 ms, then zero input for 500 ms, followed by three of P’s channels continuously for 200 ms. The current endpoint is cosine similarity between readout spike counts and a full-P reference recorded before learning. A paired control restores the same post-storage checkpoint and resets only recurrent weights to their initial values. Input-pathway weights, neural state, retained traces, and initial RNG state are preserved. A separate recurrent-learning-off condition still permits input-pathway learning during storage. Across three seeds, learned-minus-reset cosine differences were +0.003414, +0.003999, and −0.037353. This did not meet the specified robustness criteria. In the negative case, learned and reset branches had identical per-neuron memory spike counts, but different spike timings. Five readout spikes were absent in the learned branch; its score was 0.842399 versus 0.879752 after reset. Also, naïve readout responses to two overlapping full patterns were very similar in two seeds, with P/Q cosines of 0.97846 and 0.99618; the third was 0.77380. These observations do not establish successful recall hidden by the readout. Some implementation details: - Current-based LIF, dt=1 ms, tau=20 ms, rest/reset=−65, threshold=−50, refractory period=2 ms. - Recurrent connections are directed, excitatory-only, approximately 60% dense, with no self-connections and a one-step delay. Weights start at 0.6 and are clipped to [0,8]. - The learning rule examined here is dW[j,i]=0.06*spike[j]*pre_trace[i]−0.025*post_trace[j]*spike[i]. Both traces decay with a 20-ms time constant; updates use decayed traces before adding current spikes. - Expansion-to-memory and memory-to-readout projections each supply 12 inputs per postsynaptic neuron, weighted 180 and 120 respectively. Which diagnostic would you prioritize to localize the bottleneck between learned recurrent completion and its measurement through the fixed readout, while accounting for the learned input pathway? What contrasting outcomes would make that diagnostic informative? A published LIF associative-memory model with a comparable partial-cue test would be particularly helpful. I am seeking a practical next step toward a working circuit, while keeping the existing endpoint and negative findings unchanged. Thank you. 오성민 Independent researcher Unaffiliated

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Postdoc Fellowships at WashU
by Goodhill, Geoffrey Oct. 28, 2026

Oct. 28, 2026

POSTDOCTORAL FELLOWSHIPS AVAILABLE AT WASHINGTON UNIVERSITY IN ST LOUIS The Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St Louis invites applications from outstanding Postdoctoral Fellows to work at the interface between theoretical and experimental neuroscience labs at WashU. Deadline for applications is Dec 1st 2026. The CTCN is a joint initiative between the Schools of Medicine, Engineering, and Arts and Sciences at WashU, and provides a hub for neuroscientists to collaborate with mathematicians, physicists and engineers to find creative solutions to some of the most difficult problems currently facing neuroscience and artificial intelligence. Each CTCN Postdoctoral Fellow is based in at least two labs, but also has the opportunity to seek out new collaborations which help build new connections within the WashU community. We are looking for people with drive, independence and outstanding prior achievement, who are committed to leveraging interdisciplinary collaboration to drive forward the field of theoretical and computational neuroscience. Washington University in St Louis is ranked =6 worldwide for Neuroscience and Behavior by USNews. Salary for CTCN Fellows is $80,000 plus $10,000 for research costs and travel. In addition, WashU offers excellent benefits and comprehensive access to career development, professional and personal support. The St Louis metropolitan area has a population of almost 3M and is rich in culture, green spaces and thriving music and arts scenes, with a highly accessible cost of living. For more details, including how to apply, please see https://ctcn.wustl.edu/postdoc-fellows Professor Geoffrey J Goodhill CTCN Director Departments of Developmental Biology and Neuroscience Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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[Jobs] two 4 years PhD positions with Prof. Laurenz Wiskott at Ruhr University Bochum, Germany, for modeling episodic memory in humans
by Laurenz Wiskott Oct. 28, 2026

Oct. 28, 2026

Germany : Ruhr University Bochum : Faculty of Computer Science : Institute of Neuroinformatics : Theory of Neural Systems Application platform: https://jobs.ruhr-uni-bochum.de/en/jobposting/b03ed1dd010514c25ed288e12387d… In order to fill a fixed-term position in part-time (29.87 hours/week = 75%) 01.01.2027 pending funding approval, we are looking for candidates (m/f/x) for two Doctoral Positions. The Institute of Neuroinformatics is a research institute of the Faculty of Computer Science at the Ruhr University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Bochum is one of the centers of episodic memory research with a coherent framework developed within the DFG Research Unit 2812 "Constructing Scenarios of the Past" (https://for2812.rub.de/) combining psychology, neuroscience, philosophy, and computational neuroscience. In order to fill two fixed-term positions in part-time (29.87 hours/week = 75%) from the 1st of January 2027, pending funding approval, we are looking for 2 doctoral students in the research group of Professor Laurenz Wiskott. The research focuses on modeling generative episodic memory within a large, highly interdisciplinary research consortium in close collaboration with experimental partners. The methods used draw from neural network theory and machine learning. Your tasks: * Contributing to the development of an integrated systems level model of generative episodic memory. * Integrating this model with other aspects of cognition, such as planing and reasoning. * Modeling experimental data. * Communication with experimental partners. * Publication of results. Your profile: * Very good Master degree in physics, mathematics, computer science, engineering, or a related field. * Interest in interdisciplinary research in the area of neuroscience. * Good programming and mathematical skills. * Basic knowledge in machine learning. Advantageous: * Experience in modeling. * Experience in interdisciplinary projects. * Programming skills in Python. We offer: * Challenging and varied tasks with a high level of independence * Collaboration in a committed and appreciative team * Extensive training and professional development opportunities * Options for flexible working (mobile working and teleworking) * An interesting interdisciplinary environment in the field of theoretical brain research / machine learning. * Freedom to shape the project yourself. * Infrastructure that facilitates close integration into the institute and the research group. * Opportunity to pursue a Ph.D. Further information: The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L. Further information can be found at https://oeffentlicher-dienst.info/ (in German). The place of work is Ruhr University Bochum. If the position is funded by third-party funds the employee has no teaching obligation. RUB sees itself as a university with an international presence. The campus languages are German and English. Competence in at least one of the two languages and the willingness to learn the other are a prerequisite. RUB provides corresponding free courses for employees. German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF). https://www.daf.ruhr-uni-bochum.de/daf/mitarbeitende/index.html.en The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact wpr(a)rub.de. The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum’s declared aim. The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome. Contact persons for further information: Laurenz Wiskott , Tel.: +49 234 32 27997 Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed. We look forward to receiving your application via our online application portal by 2026-11-09. Please make sure to mention the reference number ANR 6248: https://jobs.ruhr-uni-bochum.de/en/jobposting/b03ed1dd010514c25ed288e12387d…

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Postdoctoral contract at Instituto de Neurociencias (Alicante, Spain) - up to 2 years
by Encarni Marcos Sanmartin Oct. 28, 2026

Oct. 28, 2026

Dear colleagues, We are looking for a *postdoctoral researche*r to join our lab, the Plasticity of Brain Networks at the Institute for Neurosciences (CSIC–UMH) in Alicante, Spain. Please find the full announcement attached. I would be grateful if you could share it with anyone who might be interested. One of our research lines focuses on studying how different brain regions interact to shape our choices, and how the body, and movement in particular, influences what we decide. We combine behavioral tasks in animal models,* in vivo* electrophysiology, and computational modeling. The postdoc will: • Train animals in decision-making tasks • Perform in vivo electrophysiological recordings • Analyze behavioral and neural data, in close interaction with computational modeling *Requirements*: PhD in Neuroscience, Biology, Psychology, Physics, Engineering, or a related field; demonstrable hands-on experience in electrophysiology; accreditation for animal experimentation; good written and spoken English. *Valued*: experience training animals in behavioral tasks and programming skills (Python/MATLAB). We *offer* a full-time contract for up to 2 years, with salary according to UMH scales, in a Severo Ochoa Center of Excellence a few minutes from the Mediterranean Sea. To apply, please send your CV, a cover letter, and contact information for two references to emarcos(a)umh.es. Applications will be reviewed on a rolling basis until the position is filled. Direct link to the offer: https://in.umh-csic.es/es/ofertas/postdoctoral-position-2-years-neural-mech… Feel free to contact me with any questions. Best regards, Encarni Marcos Plasticity of Brain Networks Lab Institute for Neurosciences (CSIC–UMH) Alicante, Spain emarcos(a)umh.es

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call for Workshops, RLDM
by Becket Ebitz Oct. 27, 2026

Oct. 27, 2026

We invite submissions for workshop proposals for the 7th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2027), to be held July 6-9, 2027 at Maison de la Chimie, Paris, France. Workshops are a half-day and held during the conference. The submission deadline for workshop proposals is Friday, December 11, 2026, with notification by January 15, 2027. Proposals should be submitted via the google form linked below. What are RLDM Workshops? The goal of the RLDM workshops is to encourage interdisciplinary discussion and to provide an informal forum for researchers to discuss important questions and challenges focused on a specific topic. Workshop topics may include anything from important current/controversial issues, open problems, and comparisons of competing approaches. You are free to choose a format that suits the topic, and in the past have included invited oral presentations,’blitz’ talks, panel discussions, data modeling challenges, hackathons, debates, and symposia aimed at improving communication between researchers from different fields rather than presenting novel research. Or a combination of any of those! Workshop organizers propose the workshop content, coordinate speakers, and provide the program for the workshop in a timely manner (a rough suggested timeline will be posted in the FAQ soon). Organising a workshop is your chance to shape the conference or kickstart a new community, so we encourage researchers at all stages of their career to consider getting involved in a workshop proposal. For inspiration, have a look here for workshops at RLDM2025: https://rldm.org/past-meetings/rldm2025/workshops/ How to Submit Workshop proposals are due by 23:59 UTC on Friday, December 11, 2026. They can be submitted using the following form: https://docs.google.com/forms/d/e/1FAIpQLSc2ODIMAUncPtVn50Tf_Ulw0pK-fKqLUdH… Notifications will be provided by email on or before January 15, 2027. Proposals will be asked to respond to the following questions: -- Workshop title and acronym (if available) -- A brief description of the workshop focus (max 2000 characters) -- A brief justification of how this workshop engages the multidisciplinary RLDM community. If a similar theme has been explored in recent years or at other venues, please highlight the new developments that warrant revisiting this topic (max 1000 characters) -- A short description of the format of planned activities (talks, panels, invited speakers, activities, etc.) (max 1500 characters) -- A list of invited speakers, and indicate who has confirmed their willingness to participate. Note that it is not necessary at this stage to have established confirmation from all participants in the workshop and that the workshops are 1/2 day. -- A list of workshop organizers with web page URLs if available. -- A brief mention of any past event or workshop organizing experience. We encourage at least one organizer to have past event organizing experience. (max 500 characters) -- The email addresses of all workshop co-organisers. FAQ Q: Is there any travel funding available for workshop speakers? RLDM will not be able to provide travel funding for workshop speakers. In previous years, some workshops have sought and received funding from external sources to bring in outside speakers and RLDM is open to that model. Organizers should list all funding sources in the proposal. Q: Who should I contact with questions? Please feel free to contact us at rebitz(a)gmail.com and giorgia.ramponi(a)uzh.ch if you have any questions! For the quickest response please use “RLDM2027 Workshops” in your subject line. Q: How will proposals be evaluated? Workshop proposals will be evaluated and selected by the RLDM Workshop Chairs based on the following metrics, in no particular order: 1. Relevance to the RLDM community 2. Interdisciplinary scope of the proposal 3. Current interest in the topic within the community 4. Diversity and equity in the proposed presenters/speakers/organizers 5. Potential for new research directions and interactions to emerge Q: What if I want to get involved with a workshop proposal, but I don’t have co-organizers? Please get in touch with us over email; we might be able to pair you with other possible co-organizers. Q: How many workshops will there be? Around six. Sincerely, Becket Ebitz and Giorgia Ramponi RLDM2027 Workshop Chairs

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Pynapple & NeMoS workshop on neural data analysis
by Edoardo Balzani Oct. 27, 2026

Oct. 27, 2026

Dear colleagues, We are running an hands-on workshop on two open-source Python packages for systems neuroscience, held at the Flatiron Institute in New York City from January 26 to January 28, 2027: - *Pynapple*, for loading, manipulating, and analyzing neural and behavioral time series. - *NeMoS*, for statistical modeling of neural activity, including generalized linear models (GLMs) and GLM-HMMs. *Application Deadline: *November 22, 2026 The workshop combines lectures with hands-on coding sessions on real datasets. Details and registration: https://www.simonsfoundation.org/events/ccn-software-workshop-2027/ *Workshops at your institution* Next year we also plan to teach shorter, more focused versions of the workshop at host universities. The host takes care of the logistics (room, recruiting and coordinating attendees), and members of our team teach the material. If you would like us to teach at your department or PhD program, or want more information, please reply to this email. Please forward this message to anyone who may be interested. Best regards, The NeuroRSE team

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[Meetings] Call For Applications 2027 Nengo Summer School
by Madeleine Bartlett Oct. 27, 2026

Oct. 27, 2026

Dear colleagues, The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 12th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last summer school, check out this short video: https://youtu.be/hHwIryt053M?si=N70eVlC3Sm_2sDy5 We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: December 21st, 2026*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, creating models to account for neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. BrainDrop, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * build models to account for anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model  * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * neurally implement vector symbolic architecture algorithms * and much more… Date and Location: May 30th to June 11th, 2027 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact: Madeleine Bartlett: madeleine.bartlett(a)uwaterloo.ca<mailto:madeleine.bartlett@uwaterloo.ca> Kathryn Simone: kpsimone(a)uwaterloo.ca<mailto:kpsimone@uwaterloo.ca> The school is partly supported by ABR, Inc. We look forward to hearing from you! Best, Maddy she/her/elle Associate Research Officer / Agent de recherche associé National Research Council Canada / Conseil national de recherches Canada Adjunct Professor / Professeur adjoint Psychology Department at the University of Waterloo / Département de psychologie de l'Université de Waterloo Email NRC: maddy.bartlett(a)nrc-cnrc.gc.ca Email UW: madeleine.bartlett(a)uwaterloo.ca

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JOB: Faculty Position in Cognitive Psychology, Seoul National University
by Jiook Cha/SNU/Psychology Oct. 27, 2026

Oct. 27, 2026

Dear comp-neuro list members, The Department of Psychology at Seoul National University is recruiting a full-time faculty member in Cognitive Psychology. The position is open to all subfields. I would be grateful if you could circulate the announcement below to the list. Faculty Position in Cognitive Psychology, Seoul National University The Department of Psychology in the College of Social Sciences at Seoul National University (SNU) invites applications for a full-time, tenure-track or tenured faculty position in Cognitive Psychology, with an anticipated start date of September 1, 2027. We welcome applications from all subfields of cognitive psychology. Applications will be accepted from December 1, 2026, until 16:00 KST on December 30, 2026. What we seek We seek a pioneering scholar who is advancing an independent research program that addresses important, unresolved questions about human cognition. We welcome researchers who formulate new theoretical accounts and test them through rigorous experimental and behavioral research, extending the explanatory reach of cognitive psychology. We encourage applications from scholars who are open to new approaches, lead research collaborations in Korea and abroad, and help shape the direction of the field through their contributions to international scholarly debate. Teaching and mentoring The successful candidate will teach undergraduate and graduate courses, including laboratory courses in cognitive and behavioral experimentation, and mentor student research. We aim to strengthen training in experimental approaches to psychological science and develop research training that incorporates generative models. Academic environment The Department of Psychology at SNU runs the Institute of Psychological Science, and its faculty participate in interdisciplinary research within and beyond the university. SNU's Interdisciplinary Programs in Neuroscience and in Cognitive Science, along with the Graduate School of Artificial Intelligence, provide opportunities to engage with researchers in neuroscience, linguistics, philosophy, and artificial intelligence. The Department also leads Brain-Mind-Behavior, an undergraduate interdisciplinary program with participation from Economics, Philosophy, Biological Sciences, Computer Science and Engineering, and other departments. Application information Field: Cognitive Psychology Anticipated start date: Wednesday, September 1, 2027 Eligibility, appointment terms, and required documents: Applicants must hold a doctoral degree and meet SNU's faculty appointment eligibility requirements. Please see the official announcement below for appointment terms and detailed document requirements. Letters of recommendation: At least two letters from specialists in the same field are required after Stage 1 (interview candidates and the letter deadline will be notified individually). Referee information must be entered at the time of application; letters may also be submitted during the application period. Requests to referees through the application system must be sent before the application deadline. Application period: Tuesday, December 1, 2026, 11:00 to Wednesday, December 30, 2026, 16:00, Korea Standard Time (KST, UTC+9) How to apply: Submit your application and upload the required documents through the SNU faculty recruitment system: https://www.google.com/url?q=https://shine.snu.ac.kr/adm/adm/hura/wrct/main… Anticipated review schedule: Stage 1 review, January 12 to February 4, 2027. Stage 2 review, February 15 to March 26, 2027. Official announcement: https://www.google.com/url?q=https://social.snu.ac.kr/%25EA%25B3%25B5%25EC%…. If this advertisement differs from the official announcement, the official Korean announcement prevails. Inquiries: For application procedures, contact the Office of Academic Affairs, College of Social Sciences (+82-2-880-6309 <02-880-6309>, yeojin(a)snu.ac.kr) For the field and the department, contact Professor Jiook Cha, PhD (connectome(a)snu.ac.kr) Best, Jiook Cha, PhD Associate Professor and Chair Department of Psychology Seoul National University

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[jobs] Research Software Engineer, Nengo Neural Simulation Ecosystem
by Michael Furlong Oct. 26, 2026

Oct. 26, 2026

Research Associate — Research Software Engineer, Nengo Neural Simulation Ecosystem Centre for Theoretical Neuroscience, University of Waterloo · Posted 23 October 2026 Position summary The Centre for Theoretical Neuroscience is hiring a research software engineer on an 11-month term to modernize Nengo, our open-source neural simulation ecosystem. Nengo is a widely used spiking neural network simulator. The post is funded by a Research Software Maintenance Fund award from the Digital Research Alliance of Canada. The work is focussed on rebuilding continuous integration and test coverage, modernizing the OpenCL and deep-learning backends, returning the project to automated signed releases, and leaving documentation good enough for maintainers who did not write the code. About the project and team Nengo is a Python framework for building large-scale functional brain models, in continuous development since 2013. It has shipped 21 stable releases, records more than 270,000 downloads, and runs models across CPUs, GPUs and neuromorphic hardware including Intel Loihi and SpiNNaker. The ecosystem has outgrown its maintenance capacity. Several packages lag current Python, NumPy and GPU runtimes, continuous integration has gaps across the platform matrix, and one release sits unshipped behind completed dependency fixes. This post exists to solve these problems. You would report to Professor Chris Eliasmith and work alongside Terry Stewart and Michael Furlong of the National Research Council of Canada, who contribute code review and continuity. All work happens in public repositories through reviewed pull requests. Key responsibilities The funded work plan has seven packages. You would lead the technical work in all of them. * Testing and continuous integration. Rebuild CI across the supported platform matrix, raise automated test coverage, and add property-based tests for the numerical solvers. Establish performance and regression baselines so later improvements are measured rather than asserted. * Release engineering. Restore automated signed releases to PyPI and conda. Refresh packaging, dependency pinning and Python version support. Harden the build pipeline around credential handling and artefact signing. * GPU and accelerator backends. Update NengoOCL for current OpenCL runtimes, GPU drivers and Python versions. * Deep learning integration. Modernize NengoDL against current deep-learning runtimes. * Interactive interface. Broaden NengoGUI compatibility across current browsers, since it is the main entry point for new users. * Models and examples. Update the NengoZoo model and example collections. * Documentation. Consolidate user and maintainer documentation, update the maintainer handbook and contributor guide, record architecture decision records for the core abstractions, and publish machine-readable citation metadata with a versioned DOI per release. Alongside these, you would integrate software composition analysis and static analysis into CI, enable dependency vulnerability monitoring, and help publish a documented vulnerability disclosure procedure. Required qualifications * Training in computer science, engineering, neuroscience, physics, mathematics or a related field. PhD preferred. * Strong Python, with demonstrated fluency in the scientific stack, particularly NumPy and SciPy. * Demonstrated experience maintaining a non-trivial open-source project or research codebase: continuous integration, packaging, releases, issue triage and code review. * Working knowledge of at least one accelerator or deep-learning runtime, such as OpenCL, CUDA, PyTorch, TensorFlow or JAX. * Comfort working in public repositories through reviewed pull requests, with the code and the discussion visible. We are interested in evidence of what you have built and maintained. Preferred qualifications Prior use of Nengo or the Neural Engineering Framework, including through the Nengo Summer School. * Experience with neuromorphic hardware: Intel Loihi, SpiNNaker, BrainScaleS or FPGA targets. * Background in computational neuroscience, cognitive modelling or spiking neural networks. * Supply-chain and software security practice: dependency scanning, static analysis, artefact signing, vulnerability disclosure. * Full stack web development, for the NengoGUI work. * Technical writing for a developer audience, including API and architecture documentation. Terms of appointment Item Detail Classification Research Associate, University of Waterloo Term 11 months, non-renewable under this award Salary $110,000 for the full term Start date December 1, 2026, or as soon as possible thereafter Hours Full time, 1.0 FTE Location Waterloo, Ontario. Hybrid, with a strong preference for candidates who can work from campus regularly. Fully remote within Canada will be considered for an exceptional candidate. Unit Centre for Theoretical Neuroscience, University of Waterloo Supervisor Professor Chris Eliasmith The term is 11 months, which is a condition of the award. The appointment does not include pension participation or insured health benefits, which Waterloo extends to research appointments of one year or more; statutory benefits and vacation pay apply. We are reviewing applications as they arrive. How to apply Send the following to celiasmith(a)uwaterloo.ca, with the subject line "Nengo Research Associate Application": 1. A CV. 2. A link to code you have written or maintained, with one or two sentences on what your contribution was. A public repository, a package you maintain, or merged pull requests to someone else's project all work. 3. A short note, no more than a page, on how you meet the job requirements, and what you would tackle first and why. Applications are reviewed as they arrive and the posting closes when the position is filled. Required disclosures * Compensation. $110,000 for the 11-month term. There is no bonus, commission or other variable compensation attached to this position. * Vacancy status. This posting is for an existing vacancy, newly created by external research funding. * Artificial intelligence. Artificial intelligence is not used to screen, assess or select applicants for this position. * Canadian experience. Canadian work experience is not required. Applicants must be legally entitled to work in Canada by the start date. Applicants will be notified of the outcome within 45 days of their final interview. The University of Waterloo is committed to achieving barrier-free accessibility for persons with disabilities. Applicants who require accommodation during the recruitment process should contact the address above. The University regards equity and diversity as integral to academic excellence and encourages applications from all qualified candidates.

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CFP: FLAIRS40, Neural Network Special Track, St. Pete Beach, FL, May 24-27, 2027
by David B Oct. 26, 2026

Oct. 26, 2026

*Deadlines* Abstract Submission: January 22, 2027 Paper Submission: February 1, 2027 Paper Acceptance Notification: March 9, 2027 Camera Ready Version: April 5, 2027 *Call for Papers* The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double- blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. *Topics of interest may include (but are not limited to):* Applications such as Pattern Recognition, Applications, Generative AI methods and applications, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cybersecurity, remote sensing, earth sciences, bioinformatics, and astronomy. Neural networks such as new developments in Deep Learning, Back Propagation, RBF, SVM, Ensemble Methods, Kernel Approaches; Hybrid approaches such as Neural Networks/Genetic Algorithms, Causal Nets trained with Backpropagation, Neural Network/Fuzzy Logic and Acceleration of neural network models via software or hardware. Other modeling algorithms such as hidden Markov models, decision trees, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches; graph modeling, pattern discovery, and anomaly detection; feature extraction and selection; post-processing techniques such as visualization, summarization, or trending; preprocessing and data reduction;and knowledge engineering or warehousing. *Submission Guidelines* Papers must follow the FLAIRS template guidelines ( https://www.flairs-40.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. *Conference Proceedings* Papers will be refereed and all accepted papers will appear in the conference proceedings. *Track Co-chairs:* David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Booz Allen Hamilton, s.m.gutstein(a)gmail.com Lenin Mookiah, eBay, lenin.world(a)gmail.com *Program Committee Members:* Martin Atzmueller(University of Kassel, Germany) Lori Bogren (SomaLogic, USA) Ramesh Paudel (Sysco Corporation) Olac Fuentes (University of Texas at El Paso) Masoud Badiei Khuzani (eBay, USA) Tomasz Palczewski (SAP, USA) Chi Weng Cheong (PGIM, USA) Sergei Dolenko (M.V.Lomonosov Moscow State University, Russian Federation) Sheikh Rabiul Islam (University of Hartford, USA) Lawrence Holder (Washington State University, USA) Diane Cook (Washington State University, USA) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Roberto Santana (University of Basque Country, Spain)

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2nd Workshop on Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence
by Anton Arkhipov Oct. 25, 2026

Oct. 25, 2026

Dear Colleagues, Join us at the 2nd Workshop on Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence! The Workshop will be held on February 22-23, 2027, alongside AAAI 2027 in Montreal, Canada. Call for Papers: https://neuroai-multimodal-workshop.github.io/. * Paper submission deadline: November 20, 2026 * Decision notification: December 5, 2026 * Short papers: Up to 4 pages (non-archival, excluding references) * Long papers: Up to 8 pages (archival, excluding references) * References and Supplementary: No page limit Building on the success of our first workshop at AAAI 2026 in Singapore, this edition will bring together researchers in AI, computational neuroscience, and neuromorphic engineering to explore how brain insights can inspire more adaptive, efficient, and robust AI systems, and how AI can deepen our understanding of neural computation. This year, we’ll place a special emphasis on context-dependent learning, continual adaptation in foundation models, and open-source benchmarks bridging neuroscience and AI. We look forward to bringing the community together again! Organizing team: Asim Iqbal, Shinya Ito, Reza Abbasi-Asl, Sophia Sanborn, Anton Arkhipov Anton Arkhipov Investigator [cid:2B7F5AD4-00BE-422F-8184-42BF1C16DEE3]

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2 PhD positions in translational computational neuroscience and NeuroAI at ICNS Hamburg, Germany
by Claus C. Hilgetag Oct. 25, 2026

Oct. 25, 2026

Dear colleagues, We invite applications for two PhD positions at the Institute of Computational Neuroscience (ICNS), University Medical Center Hamburg-Eppendorf (UKE), Germany: Translational computational neuroscience: Combining game theory, network neuroscience and computational modelling to investigate how brain regions and their interactions contribute to behaviour, impairment and recovery after stroke. The project will develop and validate approaches based on Multiperturbation Shapley value Analysis, in collaboration with project partners in Ghent, Paris and Amiens. Supervision by Claus Hilgetag. Details and application: UKE vacancy J000007015 <https://uke.jobs/index.php?ac=jobad&id=7015> Computational neuroscience and NeuroAI: Investigating how biological connectivity principles shape computation in recurrent neural networks and reservoir computing models. The project will explore characteristic bio-inspired network architectures for temporal and multimodal learning. Joint supervision by Fatemeh Hadaeghi and Claus Hilgetag. Details and application: UKE vacancy J000007013 <https://uke.jobs/index.php?ac=jobad&id=7013> We welcome applicants with a Master’s degree in computational neuroscience, computer science, physics, mathematics, biomedical engineering or related fields. Strong quantitative and programming skills, proficiency in Python, scientific initiative and fluent English are expected. Demonstrations of prior independent scientific achievements are an advantage. Both positions offer opportunities for independent research within an international, interdisciplinary group, with access to high-performance computing and support for conferences and training. Application deadline: 2 November 2026. Please apply through the respective UKE recruitment pages, which provide full requirements and application instructions. Please feel free to share this announcement with interested candidates. Best wishes, Claus C. Hilgetag Institute of Computational Neuroscience University Medical Center Hamburg-Eppendorf, Germany

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World wide VVTNS series (7th season): October 28 2026 | Circuit Mechanisms of Sensorimotor Learning in the Cortico-Basal Ganglia-Thalamocortical Network | Arthur Leblois CNRS, IMN Bordeaux, France
by David Hansel Oct. 25, 2026

Oct. 25, 2026

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Arthur Leblois CNRS, IMN Bordeaux, France on the topic of *Circuit Mechanisms of Sensorimotor Learning in the Cortico-Basal Ganglia-Thalamocortical Network* The lecture will be held on Zoom on October 28, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Please pay attention to the time change!* Europe has switched to winter > time whereas the United States will switch on November 1. > > As a result, the seminar will begin at *11:00 a.m. EDT, which corresponds > to 4:00 p.m. CET*, rather than the usual 5:00 p.m. in Europe. > *Abstract: * The basal ganglia (BG) are essential for learning and adapting movements, yet their output is often unnecessary for executing well-learned actions. This paradox challenges existing models of BG function. I will present a biologically grounded model of the cortico-BG-thalamocortical loop, showing how this closed-loop network supports efficient motor adaptation and early movement acquisition. In our model, dopamine-driven plasticity, recurrent cortical dynamics, and feedback from the BG together shape motor output, even when BG output is not directly required for execution. This work provides a unified framework explaining how the BG-cortical circuit contributes to both learning and refinement of goal-directed actions. One important assumption of the model is that parallel feedback loops in the BG-cortical circuits form functional channels driving specific motor output, and I will show recent analysis of neuronal activity in the song-related circuit of zebra finch supporting this assumption.

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Discussion manuscript: validating pre-attack neural signals and their external EEG correlates
by נתי שטרן Oct. 25, 2026

Oct. 25, 2026

Dear computational neuroscience colleagues, I would welcome methodological feedback on a new discussion manuscript: A framework for validating neural signals before aggressive behavior in animal models relevant to autism and schizophrenia https://github.com/netanelcyber/psi-qeeg-bis/blob/6b79e9c39cd0532202659acbb… The central question is whether activity preceding an observed attack in an awake animal contains information that can be recovered from simultaneous external EEG and used to forecast future attacks beyond behavior, EMG and movement measurements. The proposal considers controls, ASD-relevant, SCZ-relevant and combined experimental conditions. It does not claim that animals have the corresponding human diagnoses; the combined condition requires its own construct validation. The analysis separates baseline differences, ongoing-action correlates and genuine pre-event prediction. Feedback would be particularly valuable on depth-to-surface signal mapping, latent-state models, causal preprocessing, animal-level holdout, calibrated warning probabilities, and false alarms per hour during continuous recording. Relevant existing synchronized depth/EEG/video datasets would also be helpful. This AI-assisted manuscript is a hypothesis and proposed validation framework. It contains no new experimental data, trained predictor or validation results, and has not been peer reviewed or accepted by a preprint server. AI assistance and pending author disclosure fields are stated in the draft. Please send comments privately to nsh531(a)gmail.com. Best regards, Netanel Stern Independent researcher, Israel

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Postdoctoral Position in Computational/Theoretical Neuroscience at UC San Diego
by Marcus Benna Oct. 23, 2026

Oct. 23, 2026

A postdoctoral position in computational neuroscience with flexible start date is available in the lab of Dr. Marcus Benna <https://biology.ucsd.edu/research/faculty/mbenna> at the University of California, San Diego. Our research seeks to understand how neural information processing under noisy and resource-constrained conditions allows the brain to efficiently perform computational tasks and control relevant behaviors. This position <https://biology.ucsd.edu/jobs/postdoc#postdoctoral-position-computationalth…> will involve the analysis of neural activity data (calcium imaging or electrophysiology) collected by our collaborators, as well as theoretical modeling of learning and task performance in neural networks. Our research group <https://bennalab.biosci.ucsd.edu/> is part of the vibrant Department of Neurobiology at UCSD, which is highly collegial, and offers many opportunities for collaborations, both formal and informal. Postdoctoral trainees are encouraged to attend seminars and present their work at departmental events. Our group is located in Tata Hall and shares space with several experimental neuroscience laboratories. We offer a stimulating environment with opportunities to develop new research directions and supportive mentorship for individual career development. The applicant should hold a PhD in computational neuroscience, physics, applied math, computer science, data science, or a related field, preferably with a degree date no more than two years before the start date. Candidates should have a strong quantitative background and programming skills. Experience in computational modeling, machine learning and/or data analysis is necessary for this position. Strong verbal and written communication skills are required. We’re looking for collaborative, motivated individuals who can conduct an independent research project and work as part of a team. To apply, please email Dr. Marcus Benna (mbenna(a)ucsd.edu) with the subject line “Postdoc Application”, and include - A cover letter/research statement that summarizes your experience, contributions to science, as well as research interests and how they align with the lab’s work. - CV with publication list - Names and contact information of 3 references Review of applications will begin on Nov. 13th. Best, Marcus ========================== Marcus K. Benna Assistant Professor Department of Neurobiology School of Biological Sciences University of California, San Diego

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Postdoc position in retina computational modeling applied to psychiatry at LORIA, Nancy, France
by Laure Buhry Oct. 22, 2026

Oct. 22, 2026

A postdoctoral position is available at LORIA (Laboratoire Lorrain de Recherche en Informatique et ses Applications), Nancy, France, in the Neurorhythms (https://neurorhythms.loria.fr/) team on the MERGES ( https://piq.inria.fr/projets/#merges https://piq.inria.fr/en/projets/#merges) project funded by the Inria Quadrant Programme. The work will be conducted in collaboration with experimentalists at Christophe Ribelayga's lab, University of Houston, TX, and clinicians at Steven Silverstein's lab, University of Rochester, NY. The aim of this project is to test pathophysiological hypotheses in schizophrenia spectrum disorders and to identify novel therapeutic targets through physiologically realistic modelling of retinal signalling, used as a peripheral window into brain function. The postdoctoral fellow will contribute to computational modeling of retinal circuits and to hypothesis-driven analyses, including short research stays at our collaborating laboratory in the United States. *Start date* : as soon as possible. *Contract duration* : 2 years, with possible renewal of 1 year contingent on successful annual review of the programme. *Monthly gross salary* : 2948 € (French salary scale) *Qualifications:* Prior experience with computational neuroscience is required, in particular with conductance-based models. Prior knowledge and practice in scientific computing, signal analysis or applied mathematics is preferred. A strong interest in retinal functioning and applications in Psychiatry is mandatory. *Application:* Prospective postdocs can contact laure.buhry(a)loria.fr for more detailed information, or directly send a CV and short statement of interest for application. -- Laure Buhry https://members.loria.fr/LBuhry/

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Fully-funded Research Assistant position in Neuroimaging studies at University of South Carolina
by Z S Oct. 22, 2026

Oct. 22, 2026

Dear all, Description: Dr. Sha’s lab (https://shazhiqiang.wixsite.com/sha-lab) at the University of South Carolina is seeking *a fully-funded Research Assistant*. Our lab is affiliated with the Carolina Autism & Neurodevelopment Center, the Institute for Mind & Brain, and working closely with the McCausland Center for Brain Imaging in Columbia, the center of SC Metropolitan Statistical Area. Our lab explores the mechanisms of atypical brain development and neurodevelopmental disorders (e.g., autism spectrum disorders) by leveraging computation modeling to bridge neural circuitry, exposure (e.g., early life adversity) and psychopathological phenotypes, and treatment outcomes. These innovative projects will leverage state-of-the-art computational models, supported by the Brain Imaging Center (with 3T and high-field 7T MRI scanners) and the Biobehavioral Research Center. This position provides an excellent opportunity for a self-motivated student to gain hands-on experience with neuroimaging (e.g., MRI) and computational modeling, making it ideal preparation for a future graduate or medical career. Research Assistant will be actively involved in the scientific process and are encouraged to contribute meaningfully to publications. We fully support research assistants in leading first-author publications and presenting their work at international conferences. Duties: · Computational modeling; statistical modeling · MRI data collection, processing, analysis; present results and publish papers · Manage daily administrative operations of the lab (e.g., scheduling and communication) Requirements: · Bachelor’s degree in a relevant science (e.g., neuroscience, math, biostatistics, biomedical engineering and etc.) · Experience with clinical and MRI data collection and data analysis. · Candidates with coding experience are preferred. How to apply: Please submit your CV to Dr. Sha (zsha(a)mailbox.sc.edu)

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Fully funded lab manager position on social neuroscience lab
by Speer, Sebastian Oct. 21, 2026

Oct. 21, 2026

We’re hiring a full-time lab manager/research assistant to join the Coupled Minds Lab at Texas A&M University! Our lab, led by PI Sebastian Speer, studies how conversations shape the way people connect, change their minds, and learn. We combine fMRI hyperscanning, natural language processing, and computational modeling to investigate how people explore ideas together and build consensus in interactions with human and AI partners. The lab manager will help lead data collection for fMRI hyperscanning studies, analyze naturalistic fMRI data and conversation transcripts, and apply computational methods to study social interaction. This position offers hands-on research experience for someone considering a PhD in psychology or neuroscience. Qualifications: A bachelor’s degree in psychology, neuroscience, computer science, or a related field is required. Prior research experience is preferred. Salary: $45,000 per yearLocation: College Station, TexasStart date: As soon as possible Applications will be reviewed on a rolling basis until the position is filled. Apply here: https://tamus.wd1.myworkdayjobs.com/TAMU_External/job/College-Station-TX/Re… Learn more about the lab: https://coupled-minds.github.io/ --- Sebastian Speer Assistant Professor Psychological & Brain Sciences Texas A&M University

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PhD and postdoc positions: PDEs + TDA + deep learning for 3D+time microglia morphology (Prague and Warsaw)
by Hahn, Jooyoung Oct. 21, 2026

Oct. 21, 2026

Dear Colleagues, The MIND-MAP project (2027-2029), a collaboration of CTU in Prague, the University of Warsaw and ISTA Austria, is hiring one PhD student and one postdoc in Prague and one PhD student and one postdoc in Warsaw (Pre-announcement). MIND-MAP studies how microglia, the immune cells of the brain, change their branching shape in 3D + time microscopy, and turns these images into a quantitative, geometric and topological readout of brain state. Both groups work closely with Sandra Siegert's lab at ISTA, with access to unique 3D and 3D + time microscopy data. The goal is to develop new mathematics, not merely to apply existing tools. In Prague (CTU in Prague, FNSPE, with Jooyoung Hahn), the work covers dimensionality reduction, hybrid PDE + deep-learning segmentation, scale-aware 3D shape representations, tracking in 3D + time, and geometry-informed TDA. In Warsaw (University of Warsaw, with Pawel Dlotko), it covers topological descriptors of shapes that change in time, shape trajectories, Ball Mapper and interpretable visualization. We are looking for candidates with a strong background in (applied) mathematics, computer science, physics or a related field, and a strong interest in biology. Postdoc candidates should have experience in one of the following areas: numerical PDEs, image segmentation, deep learning, TDA or geometry Prague salary: postdoc 70,000 CZK gross per month, full time, start 1 January 2027 (negotiable); PhD 38,745 CZK gross per month (0.8 FTE) plus a 12,000 CZK tax-free stipend (about 43,000 CZK net), start 1 March 2027. To apply, send a CV and a few lines about your research interests and what you can bring, and say whether you apply for the PhD or the postdoc: * Prague: jooyoung.hahn(a)fjfi.cvut.cz (PhD by 5 December 2026) https://jooyounghahn.github.io/jobs/MIND-MAP_PhD_CTU_Prague.html * Warsaw: p.dlotko(a)uw.edu.pl https://jooyounghahn.github.io/jobs/MIND-MAP_PhD_Postdoc_Warsaw.html This is a pre-announcement; the official calls with formal conditions will be published separately. Feel free to email us with questions. Best, Jooyoung Hahn Assistant Professor Faculty of Nuclear Sciences and Physical Engineering Czech Technical University in Prague jooyoung.hahn(a)fjfi.cvut.cz

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[Job] Research Software Engineer at CatalystNeuro (remote)
by Ben Dichter Oct. 21, 2026

Oct. 21, 2026

Dear colleagues, CatalystNeuro <http://catalystneuro.com> is hiring a Research Software Engineer to help neuroscience labs convert their data to Neurodata Without Borders (NWB) and publish it on the DANDI Archive. Each project starts with a lab's own acquisition systems, file formats, and analysis outputs, and ends with a standardized, well-documented dataset that others can reuse. The work is roughly evenly split between building conversion pipelines for specific labs and improving the open-source tools those pipelines are built on, including NeuroConv, PyNWB, and the NWB Inspector. We rely heavily on agentic LLM-based development in this work. We use coding agents such as Claude Code to read unfamiliar formats, draft conversion code, and run tests, with engineers directing the agents and reviewing what they produce. We are looking for someone with strong Python skills, experience with neuroscience data or a related field, and hands-on experience developing software with coding agents. Prior experience with NWB, DANDI, or SpikeInterface is helpful but not required. The position is remote, and we ask for several hours a day of overlap with European working hours. It can be a contract paid hourly at $60 to $75 per hour depending on experience, at anything from 25 hours per week up to full time. For candidates based in the United States, we are also open to a full-time salaried position with benefits at $95,000 to $120,000 per year. To apply, please email info(a)catalystneuro.com with the subject line "Application: Research Software Engineer" and include your CV, a link to your GitHub profile or another code sample, and a short note answering two questions: describe a dataset you have worked with and what made it difficult to handle, and describe how you have used coding agents in your work, including a time an agent got something wrong and how you caught it. We will begin reviewing applications on November 10, 2026. The full listing is at https://catalystneuro.com/openings/research-software-engineer/. Best regards, Ben Dichter CatalystNeuro

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Tenure-track position in Computational Neuroscience at Yale
by daniel.levenstein＠yale.edu Oct. 21, 2026

Oct. 21, 2026

Dear colleagues, The Department of Neuroscience at Yale is hiring tenure-track faculty in computational or theoretical neuroscience. We’re especially interested in candidates who use computational methods to link models with experimental data, broadly construed: from analysis of neural activity and network modeling to imaging, bioinformatics, and molecular modeling. New faculty join a growing computational community spanning the Department of Neuroscience, the Wu Tsai Institute, the Kavli Institute for Neuroscience, and the Department of Biomedical Informatics and Data Science, with a generous start-up package and ongoing salary support. More information on the position and application can be found at Interfolio: https://apply.interfolio.com/190740. Review is rolling, with priority for applications received by November 30, 2026. Please feel free to reach out to me directly with questions about the department and community here at Yale! Best, Dan ________________________________ Daniel Levenstein, PhD Assistant Professor - Department of Neuroscience Wu Tsai Investigator - WTI Center for Neurocomputation and Machine Intelligence Quantitative Biology Institute (QBio) Yale University 100 College Street, Room 1130 New Haven, CT 06510 www.levensteinlab.org

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Research Assistantship (pre-doctoral route) position in NeuroAI in Coimbra, Portugal
by Jorge Almeida Oct. 21, 2026

Oct. 21, 2026

Dear colleagues, We are recruiting a Research Assistant with a Master’s degree (this is a requisite) to join the newly funded ALIGN project, supported by the CMU Portugal / FCT Initiative. The position will be based at the University of Coimbra, working with Jorge Almeida and in close collaboration with Michael Tarr at Carnegie Mellon University. The project sits at the intersection of NeuroAI, cognitive neuroscience, computer vision, and human-centered AI, and aims to understand how visual representations in AI models align with human behavioral and neural representations. The selected candidate will contribute to behavioral and neuroimaging research, AI model evaluation, and representational analyses involving vision and vision-language models such as CLIP, DINO, ResNet, and ViT. This is an excellent opportunity for someone interested in developing a research profile in NeuroAI and potentially continuing into a PhD in this area. The position is funded through a Master’s research fellowship, with a monthly stipend of €1,359.64, tax-free (as dictated by the Portuguese Government). The contract will be for the duration of the project – expected 1 year - although we expect the candidate to apply together with the team to a PhD fellowship to continue the project. We are looking for candidates with interests in one or more of the following areas: - Cognitive neuroscience or psychology - Artificial intelligence, machine learning, or computer vision - Neuroimaging, especially fMRI - Data analysis, Python programming, or computational modeling - Human perception, categorization, or visual cognition Interested candidates should send a CV, a brief statement of interest, and contact information for references to: jorgecbalmeida(a)gmail.com Please feel free to share this opportunity with anyone who may be interested. Best, Jorge Almeida University of Coimbra ALIGN Project | CMU Portugal / FCT Initiative

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on behalf of Greg Reynolds: position in Music, Science and Health at Knoxville
by Reinoud Maex Oct. 20, 2026

Oct. 20, 2026

Begin forwarded message: From: "Reynolds, Greg" <greynol3(a)utk.edu<mailto:greynol3@utk.edu>> Subject: Request to post job ad to listserv Date: 16 October 2026 at 16:54:30 BST To: "comp-neuro-owner(a)lists.cnsorg.org<mailto:comp-neuro-owner@lists.cnsorg.org>" <comp-neuro-owner(a)lists.cnsorg.org<mailto:comp-neuro-owner@lists.cnsorg.org>> You don't often get email from greynol3(a)utk.edu<mailto:greynol3@utk.edu>. Learn why this is important<https://aka.ms/LearnAboutSenderIdentification> Please post to the listserv this job ad for an open position as Assistant/Associate/Full Professor of Music, Science, and Health, Natalie L. Haslam College of Music at the University of Tennessee, Knoxville. The Natalie L. Haslam College of Music invites applications for a 9-month tenure-track position at the Assistant, Associate, or Full Professor level in Music, Science, and Health. This is a rare and forward-looking appointment designed for a scholar-teacher who believes that a fuller understanding of music — how we hear it, perform it, feel it, analyze it, and create it — is enriched by understanding the human brain, human behavior, and the science behind how we interact with the art of music and human health. The successful candidate will occupy a distinctive role at the intersection of music, medicine and health, neuroscience, psychology, cognitive science, or other theoretical and applied sciences, contributing to both the core curriculum of the College and to an emerging cross-disciplinary research culture. The candidate will work in the Natalie L. Haslam College of Music with potential for collaboration with other colleges, and relevant health organizations. The successful candidate is expected to have either existing or strong potential for obtaining extramural funding. More information and application materials can be found here: https://apply.interfolio.com/194546<https://apply.interfolio.com/194546> ______________________________________ Greg D. Reynolds, Ph.D. Professor Department of Psychology & Neuroscience University of Tennessee, Knoxville http://dcnlab.utk.edu<http://dcnlab.utk.edu>

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Faculty position in Computational Neuroscience at Boston University
by Emily Stephen Oct. 19, 2026

Oct. 19, 2026

The Boston University Department of Mathematics and Statistics is recruiting an Assistant Professor of Computational Neuroscience as part of Boston University’s Advancing Brain and Cognitive Health convergent search—part of a new University-wide approach to convergent research. The convergent search will involve up to 6 tenure-track faculty hires. Going beyond traditional interdisciplinary collaboration, convergent research intentionally brings together different disciplines, methods, and ways of thinking to tackle complex challenges and open new directions for discovery. Faculty joining this cluster will have opportunities to build collaborations across neuroscience, computation, engineering, and health sciences to pursue ambitious questions about the brain and cognitive health. Learn more about the position and the other openings in the convergent search: https://bit.ly/4hP8ya0 Best, Emily Stephen

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PhD and postdoc positions in computational and theoretical neuroscience || University of Texas at Dallas
by Muller, Lyle Oct. 19, 2026

Oct. 19, 2026

PhD and postdoctoral positions are available in a growing cluster of computational neuroscience labs at the University of Texas at Dallas. The Muller Lab (http://mullerlab.io<http://mullerlab.io/>) and the Lakshminarasimhan Lab (https://neuralalgorithms.github.io<https://neuralalgorithms.github.io/>) are recruiting new trainees in computational and theoretical neuroscience. PhD positions start in Fall 2027. Postdoctoral start dates are flexible. Research across the cluster combines computational analysis of neural data, applied mathematics, and machine learning to understand computation in biological and artificial neural networks in close collaboration with experimental groups. Projects in the Muller Lab include traveling waves in neural systems (link<https://www.nature.com/articles/s41467-023-39076-2>) and analyses of spikes in large neural populations (link<https://arxiv.org/abs/2412.03804>). The group has an active collaboration with the Fields Institute through the Lab for Network Computation<https://www.fields.utoronto.ca/activities/fields-lab-network-computation>. The Lakshminarasimhan Lab develops computational theories of learning, memory and decision-making that link synaptic plasticity, neural dynamics and behavior. Ongoing projects in the lab include developing and testing normative theories of dopamine signaling (link<https://www.biorxiv.org/content/10.1101/2025.03.18.643990v2.full>) and representational drift. The two labs are building shared training in computational neuroscience and NeuroAI at UTD. Trainees will join a growing computational neuroscience community in the Dallas area, including connections to UT Southwestern and the Texas Artificial Intelligence Research Institute (TAIRI). Prior experience with scientific computing, signal analysis, applied mathematics, or machine learning is preferred. Prospective PhD students should apply to the Cognition and Neuroscience PhD program at UTD (link<https://bbs.utdallas.edu/departments/neuroscience/graduate-programs/cogniti…>) before December 1, 2026. Prospective postdocs can write to lyle.muller(a)utdallas.edu or kaushik.laksh(a)utdallas.edu with a CV and short statement of interest. -- Lyle Muller http://mullerlab.io

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Faculty position in computational neuroscience || University of Texas at Dallas
by Muller, Lyle Oct. 19, 2026

Oct. 19, 2026

The Department of Neuroscience at the University of Texas at Dallas invites applications for a tenure-system faculty position at the Assistant or Associate Professor rank in computational neuroscience, starting Fall 2027. The position is part of a cluster hiring initiative to build an internationally recognized computational neuroscience research and training program at UT Dallas. We are looking for candidates with expertise in neural coding, computation and dynamics, or working at the intersection of neuroscience and artificial intelligence, including large language models. The ideal candidate would do highly collaborative dry-lab research connected to departmental strengths in learning and memory, decision making, motor control, affective neuroscience, sensory perception and pain, or neurogenomics. The position includes teaching undergraduate and graduate courses. Applicants should have a PhD or equivalent in neuroscience, computer science, mathematics or a related field. The new hire will join a rapidly growing computational neuroscience cluster at UTD, with close ties to the Texas Artificial Intelligence Research Institute (TAIRI), the Texas Biomedical Device Center, and UT Southwestern Medical Center. Full position description and application: https://jobs.utdallas.edu/postings/32729. Priority will be given to applications received by December 31, 2026. -- Lyle Muller http://mullerlab.io

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World wide VVTNS series: Seventh season opening lecture, Wednesday, October 21, 2026, at 11:00 am EDT - Richard Hahnloser, ETH Zurich
by David Hansel Oct. 18, 2026

Oct. 18, 2026

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the seventh season opening lecture of the online VVTNS series. It will be delivered by Richard Hahnloser ETH Zurich on the topic of The Algorithm(s) of Birdsong Learning The lecture will be held on zoom on October 21, 2026, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *How do songbirds acquire and refine their complex vocal repertoires? Learning a song requires both evaluating sensory evidence and determining which changes in behavior improve performance. These challenges have traditionally been studied in separate experimental paradigms: auditory-feedback adaptation, reinforcement learning, and imitation. In this talk, I will examine the behavioral and neural algorithms underlying each and ask how they might fit within a common learning architecture. First, when auditory feedback is shifted in pitch, birds change their vocal pitch in the opposite direction. As in humans, compensation is typically incomplete and becomes proportionally smaller for larger shifts. This pattern is consistent with Bayesian causal inference: birds combine internal predictions of pitch with auditory evidence while discounting feedback that is unlikely to have been self-generated. Second, I will show why classical policy-gradient reinforcement learning falls short in explaining the nonlinear pitch trajectories observed in conditioning experiments. A normative extension accounts for these trajectories and aligns with the modular organization of the brain’s song-control system. In this architecture, a learning component generates exploratory variation and is updated by reward. Other components contribute to motor output but are not updated by reward on every trial. Third, I will turn to imitation learning. Songbirds simplify this computational challenge by acquiring vocal units—syllables—independently of their sequential order. The intrinsic reward guiding the acquisition of this vocal inventory can be characterized by a simple sum–max rule: each target syllable contributes a partial reward determined by its best pitch match among the bird’s developing vocalizations, and these rewards are summed across targets. A light-tailed pitch-similarity function ensures that large mismatches contribute little reward. Together, these findings identify complementary mechanisms for interpreting sensory feedback, assigning credit to motor actions, and matching vocal output to remembered targets. The next challenge is to explain how these mechanisms interact within a unified theory of birdsong learning. I will conclude with initial attempts to use AI to develop this synthesis, with the aim of turning a collection of task-specific algorithms into a coherent framework with testable predictions and potential relevance beyond the avian brain. ᐧ

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AICES 2027: early registration October 27
by David Silva - IRDTA Oct. 17, 2026

Oct. 17, 2026

******************************************************** 2nd INTERNATIONAL SCHOOL ON HUMAN-AI COLLABORATION IN THE ERA OF AGENTIC AI AICES 2027 Bilbao, Spain May 3-6, 2027 https://aices.irdta.eu/2027/ ******************************************************** Co-organized by: University of Deusto IRDTA – Institute for Research Development, Training and Advice ******************************************************** Early registration: October 27, 2026 ******************************************************** SCOPE The rapid emergence of agentic AI systems capable of planning, reasoning, making decisions and acting with increasing autonomy is transforming the relationship between humans and intelligent machines. Understanding how humans and AI agents can collaborate effectively, safely and responsibly has therefore become a major scientific, technological and societal challenge. AICES 2027 will address this challenge from a broad interdisciplinary perspective, bringing together leading researchers and experts from academia and industry. The scientific program will examine the societal, cognitive, ethical, economic and governance dimensions of agentic AI, with particular emphasis on human–AI collaboration, trust, human oversight and control, the future of work, regulation and governance, explainability, responsible AI, education, democracy, media ecosystems, economic transformation, and the wider implications of increasingly autonomous AI systems. The school will feature 13 monographic three-hour courses, 2 keynote lectures, 1 round table and 1 symposium. Leading academics and industry experts will share their knowledge, research and perspectives with participants. Interaction, discussion and networking will be central elements of the event, while full live online participation will also be available. ADDRESSED TO AICES 2027 is intended for graduate students, researchers, academics, industry professionals and policymakers from a wide range of disciplines, including computer science, cognitive science, economics, sociology, philosophy, law, public policy and business. There are no formal academic prerequisites, and researchers and professionals at all career stages are welcome. The school will provide participants with an opportunity to gain in-depth knowledge of one of the most rapidly evolving areas of AI, interact with experts from different disciplines, establish new collaborations, expand their professional networks, and explore the profound changes that agentic AI may bring to work, institutions and society. VENUE AICES 2027 will take place in Bilbao, in northern Spain. Once a major industrial centre, Bilbao has undergone a remarkable urban, cultural and economic transformation over recent decades and is today one of Spain's most dynamic cities. The venue will be: University of Deusto Avenida de las Universidades, 24 48007 Bilbao https://www.deusto.es/ STRUCTURE Two/three courses will run in parallel throughout the event. Participants will be free to select the sessions they wish to attend and may move between courses at any time. In addition to the courses and keynote lectures, the program will include a round table and a symposium devoted to current research and industrial developments. All lectures will be video recorded and made available to participants for 45 days after the event. Full live online participation will be possible. Nevertheless, participants are strongly encouraged to attend in person whenever possible, as direct interaction, discussion and networking are essential components of research training events of this kind. KEYNOTE SPEAKERS Eszter Hargittai (University of Zurich), Myths vs. Measures: Digital Inequality and AI Skills Katia Sycara (Carnegie Mellon University), Human-AI: Collaboration rather than Substitution PROFESSORS AND COURSES Ana Bazzan (University of São Paulo), [introductory/intermediate] Autonomous Agents, Multiagent Systems, Swarm Intelligence and Reinforcement Learning: What Are These and Why They Matter in the Current AI Agenda Justine Cassell (Inria Paris), [introductory/intermediate] Building Agents that Collaborate with People rather than Replacing Them Pierre Dillenbourg (Swiss Federal Institute of Technology Lausanne), [introductory] Productive Noise: The Benefits of Misunderstandings in Collaboration Steven Drucker (Particle Prismatics LLC), [introductory/intermediate] Attention Is All You Have: Human-Centered AI in the Agentic Era Peter Flach (University of Bristol), [introductory/intermediate] Classifier Calibration: A Prerequisite for Trustworthy AI James Hollan (University of California San Diego), [intermediate] The Future of HCI: Generative AI, Negotiated Agency, and Co-Adaptive Systems Andreas Holzinger (University of Natural Resources and Life Sciences), [introductory/intermediate] Trustworthy Agentic AI: Human-AI Collaboration, Explainability, and Verifiable Autonomy Jason Hong (Carnegie Mellon University), [introductory/intermediate] Challenges in Human-AI Interaction Christian Lebiere (Carnegie Mellon University), [intermediate] Metacognition and Theory of Mind in Humans and Machines Sijia Liu (Michigan State University), [introductory/advanced] Safety Alignment for AI Agents: From Centralized to Distributed Solutions Simon Parsons (University of Lincoln), [introductory] Agents and Agentic AI Simone Stumpf (University of Glasgow), [introductory/intermediate] Explainable AI (XAI) and Debugging in the Era of Agentic AI Lyle Ungar (University of Pennsylvania), [introductory] From Tools to Teammates: How AI Changes Human Work and Relationships SYMPOSIUM A symposium will give participants, research groups and companies the opportunity to present ongoing research projects, innovative ideas and industrial developments related to the themes of AICES 2027. Presentations will consist of 15-minute oral contributions. Participants interested in presenting should submit a one-page abstract including the title, authors, and a brief summary to david(a)irdta.eu. Submission deadline: April 19, 2027. ORGANIZING COMMITTEE Pablo García Bringas (Bilbao, Local Chair) Carlos Martín-Vide (Tarragona, Program Chair) Santiago Montes (Tarragona, Webpage) Sara Morales (Luxembourg, Finances) David Silva (London, Organization Chair) REGISTRATION Registration is available at: https://aices.irdta.eu/2027/registration/ During registration, participants will be invited to indicate six courses they are particularly interested in attending. This selection is tentative and non-binding and will be used only to estimate demand and facilitate logistical planning. As the capacity of the venue is limited, registrations will be accepted on a first-come, first-served basis. Registration will close once maximum capacity has been reached. Early registration is therefore strongly recommended. FEES Registration fees include access to all school activities and lunches. Several early-registration deadlines are available, with fees depending on the date of payment. Fees are the same for on-site and for online participation. ACCOMMODATION Accommodation suggestions will be made available in due time at: https://aices.irdta.eu/2027/accommodation/ CERTIFICATE Participants will receive a certificate documenting 40 hours of academic activities. This certificate should be suitable for participants seeking ECTS or equivalent academic recognition from their home institutions. SPONSORS Companies, institutions and organizations interested in supporting AICES 2027 are invited to consult the sponsorship opportunities available for the event. The sponsorship leaflet can be downloaded from: https://aices.irdta.eu/2027/sponsors/ QUESTIONS AND FURTHER INFORMATION david(a)irdta.eu ACKNOWLEDGMENTS University of Deusto IRDTA – Institute for Research Development, Training and Advice

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Göttingen Symposium "Living Networks": Nov 30-Dec 2 2026
by Priesemann, Viola Oct. 17, 2026

Oct. 17, 2026

Dear all, Please spread the word: This symposium is interesting to anyone wanting to understand the similarities and difference in network dynamics across sociology, (animal) group behavior and living neural networks. It is free of charge and we have a great international speakers. Best wishes, Viola Dear colleagues, We are pleased to announce "Living Networks" - an international symposium on self-organization, manipulation, and information flow in neural and social systems. We bring together experts on adaptive networks from societal dynamics, animal groups, living neural networks, and complex systems. Please share this announcement with interested colleagues, students, group members, and collaborators. We warmly welcome you to Göttingen - free of charge. Dates: 30 November–2 December 2026 Venue: Manfred-Eigen-Hörsaal, Am Fassberg 11, 37077 Göttingen, Germany 🔗 More information and registration (free of charge): https://priesemann-group.github.io/living-networks/ The symposium poster is available for download here: https://owncloud.gwdg.de/index.php/s/LCp1TDN87tWHRG6 We look forward to welcoming you to Göttingen. Best wishes, From the organization team: Julia Fischer, Greta Jasser, Thomas Kneib, Piklu Mallick, Viola Priesemann Living Networks: Self-Organization, Manipulation and Information Flow in Neural and Social Systems Abstract Living Networks, including societies, groups and also brains, are continuously reshaping their structure, interactions, and information flow among nodes - yet their large-scale structure and function remain largely invariant. Classic examples are scale-free network properties and robust information processing despite variable neural representation. We want to explore whether these networks are shaped by similar self-organization principles, show similar emergence of robustness and resilience, and are potentially also vulnerable tosimilar manipulation mechanisms. By combining the perspective of complex systems with expertise from sociology and neuroscience, our aim is to identify common principles, but also core differences, that drive the emergence of structure, dynamics, and information flow - from neural networks to societal dynamics. Background: From November 30 to December 2nd, 2026, at the University of Göttingen, we bring together international experts across disciplines - including physics, data science, neuroscience, law, and social and political sciences. With invited and contributed talks, ample time for discussions and poster presentations, we will sharpen our understanding of how self-organization mechanisms drive structure and information flow in social networks, as well as neural networks, with implications for understanding disinformation, polarization, and societal resilience. The symposium is organized by the CIDAS Section "Complexity, Information, Cognition, Society" (CICS), funded by the University of Göttingen, and aims to foster future collaborative research initiatives across disciplines. _____________________ Prof. Dr. Viola Priesemann Max Planck Institute for Dynamics and Self-Organization & Georg-August-University Göttingen Am Fassberg 17, 37077 Göttingen viola.priesemann(a)ds.mpg.de<mailto:viola.priesemann@ds.mpg.de> https://priesemann-group.github.io<https://priesemann-group.github.io/>

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[Invitation] rTAIM Seminar #31 | John Dorsch — Epistemically Trustworthy AI & Collective Accountability | 23 October 2026
by steven gouveia Oct. 16, 2026

Oct. 16, 2026

[??] UPCOMING SEMINAR | rTAIM SEMINAR SERIES #31 [??] Why We Need Epistemically, Not Morally, Trustworthy AI: Decision Support and the Need for Collective Accountability [???] Speaker: John Dorsch (Center for Environmental and Technology Ethics — Prague) [??] Date: 23 October 2026 (Friday) [??] Time: 3:00–4:30 PM (Lisbon Time) [??] Format: Online | Microsoft Teams [??] Free and Open to Everyone! Can artificial intelligence really be trustworthy? And who should be held accountable when AI influences human decisions? The discussion will explore crucial questions concerning AI-assisted decision-making, epistemic trust, institutional accountability, and the implications of the EU AI Act. Join us for the 31st seminar of the Rebuilding Trust in AI Medicine (rTAIM) series, featuring John Dorsch, a researcher specialising in AI Ethics and Philosophy of Cognitive Science. Short bio: John Dorsch is a postdoctoral researcher in AI Ethics and Philosophy of Cognitive Science. Previously, he worked at Ludwig Maximilian University (LMU) Munich in the interdisciplinary institute Munich Interactive Intelligence Initiative (MI3), member of the lab Cognition, Values, and Behavior (CVBE). His research focuses on philosophical and scientific problems surrounding metacognition, as well as AI technology exerting an influence on metacognitive capacities, whether by enhancing or hijacking them. [??] Seminar details and access: https://teams.microsoft.com/meet/348952916094000?p=fPGkR9WtycP2UVboJD ID: 348 952 916 094 000 Password: tp9aU3Ut Everyone interested in the philosophy and ethics of AI, epistemology, technology, and healthcare is warmly invited to attend! Feel free to share this event with colleagues, students, and researchers.

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Postdoctoral positions in Neuromorphic Computing @ The Hotchkiss Brain Institute
by Wilten Nicola Oct. 16, 2026

Oct. 16, 2026

The Hotchkiss Brain Institute in the Cumming School of Medicine at the University of Calgary is accepting applications for a Postdoctoral Scholar in the Neuromorphic Opportunities, Ventures, & Acceleration (NOVA) program. Job Description: The Hotchkiss Brain Institute invites applications for the HBI Neuromorphic Opportunities, Ventures, & Acceleration (NOVA) program. NOVA sits at the interface of neuroscience, AI, and hardware engineering and supports fellows in translating principles of neural computation into new computing architectures. NOVA aims to attract ambitious early career researchers interested in advancing neuromorphic hardware, algorithms, and software development, through novel developments in brain-inspired technologies to create the next-generation of AI accelerators. The ideal candidates will develop an independent research program in one of the following areas: - Energy-efficient analog and mixed-signal neuromorphic computing - Learning algorithms for neuromorphic systems, including on-chip and biologically inspired learning - Large-scale neural-system emulation using FPGAs and existing neuromorphic platforms such as Intel Loihi and SpiNNaker - Next-generation neuromorphic hardware, including emerging approaches such as neurophotonics Scholars are appointed for an initial term of 2 years, with potential to renew up to a total of 5 years contingent on successful annual review. This award pays an annual stipend of $100,000 CAD and a separate research allowance of $25,000 CAD per year. Successful candidates will be supported by a primary mentor as well as a mentoring committee with diverse experience relevant to the project. Potential mentors, and more information about neuromorphic computing and computational neuroscience at the HBI, can be found here: https://hbi.ucalgary.ca/computational-neuroscience/NeuromorphicComputing [ https://hbi.ucalgary.ca/computational-neuroscience/NeuromorphicComputing] *Qualifications:* Applicants must have a PhD or equivalent in a relevant domain (Electrical/Biomedical Engineering, Physics, Computer Science, Mathematics, Applied Mathematics or relevant adjacent fields) and experience relevant to one of the topic areas above. Some prior post-doctoral research is an asset but not required. *Application Details:* Applications should include a cover letter outlining research experience and interests, a CV and names of three potential references. Please email materials to: wilten.nicola(a)ucalgary.ca. Applications will be reviewed as they are received up until the deadline (November 30th 2026). The terms and conditions of employment are covered under the UCalgary and PDAC Collective Agreement. To find out more about postdoctoral scholar program at the University of Calgary visit our Postdocs website <https://research.ucalgary.ca/postdocs>. https://careers.ucalgary.ca/jobs/18230209-postdoctoral-scholar-in-the-neuro…

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Funded PhD Opportunities at the University of Toronto: NeuroAI and Computational Neuroscience
by Helena Liu Oct. 16, 2026

Oct. 16, 2026

Funded PhD Opportunities: NeuroAI and Computational Neuroscience at the University of Toronto I am recruiting PhD students to join my new lab at the University of Toronto for Fall 2027. We study how brains and artificial neural networks learn from experience, form useful representations, assign credit to past events, and generalize to new situations. Our work combines computational neuroscience, machine learning, mathematical modeling, and neural and behavioral data, and has appeared in PNAS, NeurIPS, ICLR, and ICML. Research directions include how biological mechanisms support learning from delayed feedback; how neural circuit structure and learning dynamics shape representations, generalization, and continual learning; and methods for inferring learning processes from neural and behavioral data. As one of the founding students, you can begin with a concrete project in one of these directions, with room to bring your own interests into the work and help shape the lab’s culture. You can learn more about our work at helena-yuhan-liu.github.io<https://helena-yuhan-liu.github.io/>. Who should apply: Students from computer science, engineering, statistics, physics, applied mathematics, neuroscience, psychology, and related fields are encouraged to apply. A strong quantitative background and experience with scientific programming are important; applicants should be comfortable with linear algebra, probability/statistics, and computational problem solving. Prior training in neuroscience or psychology is not required. We especially value students who are intellectually curious, creative, self-motivated, and able to take ownership of a project and carry it through to completion. What we offer: Close, direct mentorship with individualized support for research and career development; interdisciplinary training in computational methods and scientific thinking; and opportunities to present at conferences and publish in machine-learning and neuroscience venues. Students will benefit from U of T’s strengths in AI, neuroscience, and cognitive science, with opportunities to connect and collaborate across disciplines. Toronto combines a vibrant research community with diverse neighborhoods, a lively arts scene, and excellent food. Admission and funding: This is a funded PhD opportunity through U of T’s Psychology graduate program. The program uses direct admission to a supervisor’s lab. Direct entry from a bachelor’s degree is available for eligible applicants; applicants with a master’s degree are also welcome. The application deadline is December 1, 2026. Please see the program’s application page<https://www.psych.utoronto.ca/prospective-graduate-students/application-inf…> for application requirements and instructions. Interested? Please apply through the U of T Psychology PhD program and list me as a prospective supervisor. If you have questions about research fit, feel free to email me with your CV attached. Best, Helena Liu ________________________________________ Y. Helena Liu Postdoctoral Research Associate, Princeton University Incoming Assistant Professor (January 2027), Department of Psychology, University of Toronto Website: https://helena-yuhan-liu.github.io/

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M2 / PhD positions in computational neuroscience / NeuroAI at CERCO, Toulouse, France
by Messagerie CNRS Oct. 15, 2026

Oct. 15, 2026

Hi all, We have two fully funded M2 / PhD positions in computational neuroscience / NeuroAI at CERCO, Toulouse, France: 1) Modeling visual learning in bees with deep neural networks. We are looking for an M2 and/or PhD student. More details here: https://www.dropbox.com/scl/fi/5jnm96coewyiwv9szh6l9/Bees_M2-PhD_2026.pdf?r… 2) From Synaptic Delays to Neural Sequences: Modeling Temporal Neural Coding with Spiking Neural Networks We are looking for an M2 student. More details here: https://www.dropbox.com/scl/fi/v9lvbs02uifz3feofscuz/CerCo_M2_Offer_2027.pd… Please forward, distribute, etc. Cheers, Tim ___________________________________________________________________ Timothée Masquelier - timothee.masquelier(a)cnrs.fr - http://cerco.cnrs.fr/pagesp/tim

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Summit on Open Problems for AI (London, Nov 25-27th)
by Ruairidh Battleday Oct. 14, 2026

Oct. 14, 2026

Dear all, Thinking About Thinking has put together a Summit on Open Problems for AI <https://www.algopreneurship.org/>, to occur in London Nov 25-27th. We believe that this is an extremely important time to discuss frontier breakthroughs, threats, and applications in AI, especially in an open-access manner. *The three days:* - Wednesday 25 November: AI Research Breakthroughs and Infrastructure - Thursday 26 November: AI Safety, Enterprise and Society - Friday 27 November: AI Entrepreneurship and Applications *Our speakers include:* Prof Zoubin Ghahramani (DeepMind), Prof Tim Rocktäschel (Recursive), Dr Raia Hadsell (Google DeepMind), Dr Danyal Akarca (Callosum), Prof Jakob Foerster (Oxford/Meta), Dr Ed Hughes (Inherent), Dr Katja Hofmann (Microsoft), Prof David Barber (UCL), Dr Talfan Evans (Cursive), Dr Jonathan Richard Schwarz (Reuters), Dr Leon Chlon (Hassana Labs & PhysicsX), Dr Vassia Simaiaki (Wayve), Dr Artemis Seaford (formerly ElevenLabs) Dr Phil Lorenz (Basecamp Research) and Dr Hannah Madan (Prima Mente), and many more. We would love to see some of you there. All the best, Ruairidh and the team -- [image: Thinking About Thinking] Dr. Ruairidh McLennan Battleday Chief Executive Officer Thinking About Thinking battleday(a)thinkingaboutthinking.org • thinkingaboutthinking.org <https://www.thinkingaboutthinking.org/> • LinkedIn <https://www.linkedin.com/in/ruairidh-battleday-648a2b65/>

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Subcortical Sensory Circuits Meeting 2027
by Beatriz Mizusaki Oct. 14, 2026

Oct. 14, 2026

We’re happy to advertise the third edition of the *Subcortical Sensory Circuits Meeting at SISSA*! The meeting will take place on the *9-12 February 2027*. *https://www.subcortical2027.com/* <https://www.subcortical2027.com/> Subcortical circuits play a crucial role in perception and the execution of a wide variety of essential behaviours. The number of laboratories focusing on subcortical areas has increased steadily, establishing these regions as key model systems for understanding how defined circuits and computations integrate sensory signals with context and internal state to drive and modulate some of life’s core behaviours. This meeting brings together leading scientists whose research interrogates subcortical circuits from these different viewpoints using a variety of approaches. The program is complemented by a session focusing on modelling-based perspectives and approaches to catalyse discussions between experimental and computational researchers on how established models from other circuits and systems can be adapted to subcortical structures. *The application deadline for a poster/talk abstract is October 31**st* and registration deadline is the 24th of December. Hope to see some of you at this conference! On behalf of the organizing committee: Katja Reinhard, Associate Professor at SISSA, Trieste, Italy Elise Savier, Assistant Professor at Michigan University, USA Karl Farrow, Associate Professor at KU Leuven, Belgium Lukas Ian Schmitt, Team Director at RIKEN, Japan ----- *Beatriz E. P. Mizusaki* *Bridge Postdoctoral Researcher* *Scuola Internazionale Superiore di Studi Avanzati (SISSA)* *Trieste, Italy*

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Reminder: 2 postdoc and 1 phD positions on computational mechanisms of human perception (Alex Hyafil & Chris Summerfield, Barcelona)
by Alexandre Hyafil Oct. 14, 2026

Oct. 14, 2026

The group of Alex Hyafil at the CRM Barcelona (https://ahyafil.github.io/) is looking for two postdoc researchers and a PhD student. One of the postdoc positions will be co-supervised by Chris Summerfield (Universitat Pompeu Fabra Barcelona / Oxford; https://humaninformationprocessing.com/) The selected candidate will investigate the computational operations underlying visual scene perception through a combination of simulation of artificial visual systems (conv nets, visual transformers) and human experiments. The position is for two years. The other postdoc researcher (2-year duration) and the PhD student (4-year) will work jointly on identifying canonical Bayesian operations at play in human visual and auditory perception. The project involves Bayesian modelling, artificial vision network simulations, behavioral and EEG experiments as well as intra-cranial EEG experiments (in collaboration with Benjamin Morillon, AMU Marseille). We will look for complementarity of the two profiles, notably in terms of quantitative and experimental backgrounds. The hired researchers will benefit from the stimulating environment of the Barcelona area in cognitive and computational neuroscience. Our groups form part of a larger interacting network of neuroscience labs in Barcelona ( http://www.barccsyn.org) Financial support is provided by the Spanish National Agency of Investigation (FPI fellowship for the PhD student). *APPLICATION:* Send a curriculum and motivation with a list of two contacts for recommendation letter at https://bit.ly/ChrisAlexPositions. Informal enquiries are welcome. *DEADLINE:* before October 31 for the PhD position; until position is filled for the postdoc positions. *STARTING DATE:* before July 2027 for the PhD position; flexible for the postdoc positions

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PSI correction and new perspective on clinical assessment and EEG validation
by נתי שטרן Oct. 14, 2026

Oct. 14, 2026

Dear Comp-neuro community, I am following up on my earlier PSI announcement with a new perspective that corrects its clinical framing and proposes a staged validation protocol: *Reframing the Psychiatric State Index Through Clinical Assessment and Measurement Validation* Full manuscript with references <https://github.com/netanelcyber/psi-qeeg-bis/blob/18e22b6dd4ddc8747b6c2034c…> The manuscript is not peer reviewed. Psychiatric review has been requested and remains pending. The computational project currently provides numerical signal analyses and exploratory diagnosis-group benchmarks; its available data do not validate future clinical-event prediction. The protocol makes clinical adjudication the reference standard and asks whether EEG adds value over a clinical-only comparator. It separates synchrony/coupling, diagnosis-group differences, movement-associated measurements and future-event prediction. Scalp gamma/PAC is excluded from primary human analyses, with independent artifact measurements required for secondary interpretation; intracranial LFP is treated separately. The accompanying PR #3 <https://github.com/netanelcyber/psi-qeeg-bis/pull/3> corrects PAC surrogate boundaries and configured-count reporting, enforces acquisition/QC compatibility, and balances human training by participant. Synthetic regression tests and public-data benchmarks are documented as computational evidence, not clinical validation. I would welcome criticism of the surrogate/null assumptions, participant-level evaluation and incremental-value study design, particularly from researchers with psychiatric or EEG measurement expertise. Best regards, Netanel Stern On Wed, 07 Oct 2026 22:16:46 -0700, נתי שטרן <nsh531(a)gmail.com> wrote: Dear Comp-Neuro community, I am sharing a perspective article proposing a wearable EEG device, the Psychiatric State Index (PSI), to differentiate autistic meltdowns from psychotic episodes in real time. As an autistic researcher, I combine lived experience with computational neuroscience. The article introduces two composite indices (SOI and RDI), addresses BIS calibration failures in neuropsychiatric populations, and includes worked clinical vignettes. Full article available upon request. Netanel Stern Rosh HaAyin, Israel

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Vote for the Best Illusion of the Year! The 20th Best Illusion of the Year Contest
by smart＠neuralcorrelate.com Oct. 14, 2026

Oct. 14, 2026

Dear Illusion Enthusiasts, Worldwide voting for the 20th Best Illusion of the Year Contest <https://illusionoftheyear.com/> will start on Monday, October 19th, and remain open until Friday, October 24th. The 1st place winner will receive $3,000, the 2nd place winner $2,000, and the 3rd place winner $1,000. We're excited to share the mind-bending illusions from our incredible finalists with you! The Top 10 Finalists, selected from dozens of entries from countries all around the world, will be publicly revealed at voting time. Anybody with an internet connection (that means YOU!) can vote to pick the Top 3 Winners from the Top 10 Finalists. The Neural Correlate Society thanks our 2025 Platinum Sponsor, the Museum of Illusions <https://www.museumofillusions.com/> , for their generous support of the Best Illusion of the Year Contest. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse --------------------------------------- Susana Martinez-Conde, PhD Author, <x-msg://2/championsofillusionbook.com> Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience 2014 Society for Neuroscience's Science Educator Award 2014 Empire Innovator Scholar State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: <mailto:smart@neuralcorrelate.com> smart(a)neuralcorrelate.com Phone: <tel:%2B1%20718-270-4520> +1 718-270-4520 http://smc.neuralcorrelate.com

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NITMB Focused Research Group Awards for Summer 2027 --- please apply by 30 November 2026
by William L. Kath Oct. 13, 2026

Oct. 13, 2026

*Do you have an ongoing group research project at the interface between mathematics and biology that has been on hold because you and your collaborators are scattered in different locations?* *Or would you like to get a new team of people together to brainstorm about and tackle some exciting idea? * *If so, apply for an interdisciplinary research retreat in Chicago!* The National Institute for Theory and Mathematics in Biology (NITMB) invites applications for our *Focused Research Group Awards (FRGA)*. We bring small, multi-institutional teams (e.g., 3–6 researchers) for up to 9 days of intense, distraction-free collaboration in our space on the 35th floor of the iconic Hancock Building. * Funding (subject to NITMB policies): Covers travel, local lodging, subsistence, and dedicated meeting space. * Breaking disciplinary silos: Open to mathematicians exploring biological contexts, biologists employing advanced theoretical frameworks and, especially, groups with interdisciplinary expertise. * High-risk, high-reward: Priority is given to projects developing innovative mathematical approaches inspired by biology. *For visits during Summer 2027 (May through August), please apply by 30 November 2026 for full consideration. Visit our website to view further information, full eligibility criteria, and to submit your 2-page proposal: nitmb.org/research/focused-research-group-awards *

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Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero Simoncelli Oct. 13, 2026

Oct. 13, 2026

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in scientific study of the brain. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS), Graduate School of Arts & Sciences (deadline: 1 December) [https://as.nyu.edu/cns/DoctoralProgram.html, https://neuroscience.nyu.edu/program.html] * Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory. * David Heeger (also in Psychology) - Computational neuroscience, vision, attention. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Alex Reyes - Functional interactions of neurons in a network. * John Pearson - Development, structure and function of sensory systems. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in the Center for Data Science) - Computational models of learning and memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli (also in the FlatIron Institute) - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. * Alex Williams (also in the FlatIron Institute) - Statistical analysis of neural data. Neuroscience Institute, School of Medicine (deadline: 1 December) [https://med.nyu.edu/departments-institutes/neuroscience/, https://neuroscience.nyu.edu/program.html] * Gyorgy Buzsaki - Rhythms in neural networks. * Zhe Chen - Memory and learning, cognitive flexibility and decision making, social behaviors, and pain. * Dmitri Chklovskii (also in the FlatIron Institute) - Neural computation and connectomics. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Biyu He - Large-scale brain dynamics underlying human cognition. * Dima Rinberg - Olfaction, sensory information processing, perception. * Shy Shoham - Methods for controlling, imaging, and analyzing neural systems. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://as.nyu.edu/psychology/graduate/phd-cognition-perception.html] * Todd Gureckis - Memory, learning, and decision processes. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Marcelo Mattar - Learning and planning in the brain/mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Data Science (deadline: 3 December) [https://cds.nyu.edu/phd-program/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. * Brenden Lake (also in Psychology) - Computational modeling of cognition, deep learning. * Grace Lindsay (also in Psychology) - Machine learning models of the brain/mind. * Mengye Ren (also in Computer Science) - Brain and cognitively inspired representation learning. Mathematics (deadline: 18 December) [https://gsas.nyu.edu/admissions/arc/programs/mathematics.html] * Aaditya Rangan - Computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Physics (deadline: 30 December) [https://as.nyu.edu/physics/programs/graduate.html] * Marc Gershow - Perception, decision-making, and learning in neural circuits. * Stefano Martiniani - Fundamental principles governing neural systems. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, computer vision, robotics, computational neuroscience. Economics (deadline: 18 December) [https://as.nyu.edu/econ/graduate/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

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COSYNE 2027: Abstract submission closes soon
by Tomas Hromadka Oct. 12, 2026

Oct. 12, 2026

==================================================== Computational and Systems Neuroscience 2027 (Cosyne) MAIN MEETING & WORKSHOPS 11 - 16 March 2027 Montreal, Canada www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Abstract submission deadline: 18 October 2026 Workshop proposal submission is now open. Workshop proposal submission deadline: 01 November 2026 UNDERGRADUATE travel grant applications are now open. UNDERGRADUATE travel grant submission deadline: 30 October 2026 ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ----------------------------------------------------- COSYNE TRAVEL GRANTS ----------------------------------------------------- The COSYNE community is committed to bringing talented scientists together at our annual meeting, regardless of their ability to afford travel. Thus, a number of travel grants will be awarded to students, postdocs, and PIs for travel to the COSYNE meeting. We currently offer five travel grant programs: Childcare, Presenters, New Attendees, Mentorship, and Undergraduate Travel Grants, see Cosyne.org -> Attend -> Travel Grants for details. Applicants may apply for more than one grant program, but no applicant will receive more than one award. You may apply for a travel grant before receiving notification about the outcome of your submission. You may also apply if you are not submitting anything to the Main Meeting but still wish to attend Cosyne 2027. ---------------------------------------------------- COSYNE 2027 ---------------------------------------------------- COSYNE INVITED SPEAKERS Dani Bassett (UPenn) Chand Chandrasekaran (Boston U) Christine Constantinople (NYU) Paul Cisek (U Montreal) Kevin Franks (Duke) Leslie P Kaelbling (MIT) Andy Leifer (Princeton) Scott Linderman (Stanford) Amy Orsborne (U Washington) Cengiz Pehlevan Kempner (Harvard) Kanaka Rajan (Harvard; Kempner Inst) Rebecca Saxe (MIT) Carsen Stringer (Janelia) ORGANIZING COMMITTEE General Chairs: Kimberly Stachenfeld (DeepMind) and Mark Histed (NIH) Program Chairs: Annegret Falkner (Princeton) and Guillaume Lajoie (MILA/U Montreal) Workshop Chairs: N Alex Cayco Gajic (ENS) and Marcelo Mattar (NYU) Tutorial Chairs: Eva Dyer (Georgia Tech) and Alex Williams (NYU) Mentorship and Networking Chairs: Renata Brito (Mount Sinai) and Srikanth Ramaswamy (Newcastle U) Undergraduate Travel Chairs: Lea Duncker (Columbia) and Kevin Miller (DeepMind) Development Chair: Michael Long (NYU) Media Chairs: Roxana Zeraati (MPI Biol Cybernetics) and Claire Sturgill (TU Dresden) Social Media Chair: Shervin Safavi (TU Dresden) Poster Design: Maja Bialon PROGRAM COMMITTEE Annegret Falkner (Princeton) Guillaume Lajoie (MILA/U Montreal) Thomas Akam (Oxford) Mikio Aoi (UCSD) Shahab Bakhtiari (U Montreal) Arkarup Banerjee (CSHL) Joao Barbosa Pouya Bashivan (McGill) Marcus Benna (UCSD) Colin Bredenberg (U Oregon) Fanny Cazettes (Aix-Marseille U) Angus Chadwick (U Edinburgh) Vincent Costa (Emory) Ben Cowley (CSHL) Emily Dennis (Janelia) Sridhar Devarajan (IISc) Celine Drieu (JHU) Eva Dyer (UPenn) Becket Ebitz (U Montreal) Noemi Elteto (Google) Rainer Engelken (UIUC) Arseny Finkelstein (Tel Aviv University) Juan Gallego (Champalimaud) Erin Grant (U Alberta) Christine Grienberger (Brandeis) Laura Grima (Janelia) Bilal Haider (Georgia Tech) Yu Hu (ION, CAS Shanghai) Michele Insanally (U Pittsburgh) Kishore Kuchibhotla (JHU) Nina Kudryashova (U Edinburgh) Helena Liu (U Toronto) Laureline Logiaco (CU Anschutz) Thomas Zhihao Luo (U Utah) Paul Masset (McGill) Francesca Mastrogiuseppe (Champalimaud) Alexander Mathis (EPFL) Luca Mazzucato (U Oregon) Dan McNamee (Champalimaud) Cory Miller (UCSD) Wilten Nicola (U Calgary) Ramon Nogueira Manas (U Chicago) Gouki Okazawa (ION, CAS Shanghai) Agostina Palmigiano (UCL) Matt Perich (U Montreal) Rui Ponte Costa (Oxford) Lorenzo Posani (Paris Brain Institute) Dean Pospisil (UIUC) Isabeau Premont-Schwarz (U Laval) Carolina Rezaval (U Birmingham) Shreya Saxena (Yale) Evan Schaffer (Sinai) Heike Stein Weinan Sun (Cornell) Roxana Zeraati Chris Zimmerman (U Utah) Petr Znamenskiy (Crick) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details.

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University College London NeuroAI Annual Conference - 11th Nov
by Padraig Gleeson Oct. 12, 2026

Oct. 12, 2026

Dear Colleagues, The 7th Annual UCL NeuroAI Conference will take place on Wednesday 11 November 2026 at the Kennedy Lecture Theatre, UCL Great Ormond Street Institute of Child Health, London. The event will feature leading speakers at the cutting edge of machine learning and neuroscience. The UCL NeuroAI initiative aims to be a central hub where researchers working in neuroscience, AI, machine learning, and related fields can interact and stay updated on the latest advancements in these intersecting areas. Our annual conference is an important opportunity for these communities to gather, make new connections, and benefit from insights in one another’s fields. *Keynote speakers* We are privileged to have a distinguished line-up of speakers and experts confirmed to date. Wolfgang Maass, Technische Universität Graz Agostina Palmigiano, Gatsby Computational Neuroscience Unit Bernardo Sabatini, Harvard Medical School Nicolas Skatchkovsky, Francis Crick Institute Eleni Vasilaki, University of Sheffield Ellie Pavlik, Brown University *Registration * Registration is required and the conference ticket is £5 but if the cost is a barrier, please email events(a)ucl.ac.uk for a complimentary ticket. Please register here <https://www.bloomsburytheatre.com/event/2026/11/neuroai-conference-2026>. *Poster and talks - Submissions are now open!* This year we will also be accepting abstract submissions for posters, short lightning presentations (3-4 mins), as well as longer submitted talks (15 mins) as part of the event. The deadline to submit your abstract for these is *Friday 16 October at 12pm*. Please remember to book your conference place as well as completing the abstract registration form if you would like to present. Submit your poster or talk abstract now here <https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=_oivH5ipW0yTySEKEd…>. *Sponsorship* We are immensely grateful for the support from the Sainsbury Wellcome Centre, Callosum Technologies and Google DeepMind. *About UCL NeuroAI* The last decade has seen phenomenal advances in the fields of machine learning (e.g. deep learning, reinforcement learning, and AI). While these changes have already had considerable impact on most areas of science they hold a particular resonance for neuroscience. Crucially, AI shares a common lineage with neuroscience and, fundamentally, machine learning and the brain employ similar computations to process and compress information. For these reasons AI provides a means to emulate neural functions and the circuits supporting them, providing insights to aid our understanding of the brain and cognition. Equally, AI tools provide a means to discover, segment, and track distinct neural and behavioural states, yielding more efficient experiments and accelerating the pace of discovery. In turn, this understanding feeds back into the design of more effective AI architectures and models. Essentially, AI problems posed in neuroscience both require and inspire further advances in AI. UCL NeuroAI has been set up to provide a forum where researchers in these areas can meet, exchange ideas, and move both fields forward. -- ----------------------------------------------------- Padraig Gleeson http://openneuroai.org Room 321, Anatomy Building Department of Neuroscience, Physiology & Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

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Final Call for Papers: ACML 2026 (Encore Track)
by Levin Kuhlmann Oct. 12, 2026

Oct. 12, 2026

ACML 2026 (the 18th Asian Conference on Machine Learning) is being held in Melbourne Australia on 1–4 December, just before NeurIPS in Sydney. The main conference, journal and workshop tracks have closed, but the Encore Track is still accepting submissions. It's a way to present work you've already had published or accepted at a leading venue (including NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, AAAI, JMLR, IEEE TPAMI) since 1 June 2025, through an encore talk in a topic-aligned session. Submission is lightweight: title, abstract, author details, PDF and publication URL (or evidence of acceptance if not yet published). Deadline: 18 October 2026, 11:59 PM AoE For more details visit https://www.acml-conf.org/2026/calls/papers/#encore-track If you have any questions, please contact Levin Kuhlmann ( levin.kuhlmann(a)monash.edu) Kind regards, Levin Kuhlmann Encore Track Chair, ACML 2026

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Two Postdoctoral Positions in Computational Neuroscience - Ruhr University Bochum, Germany
by Sen Cheng Oct. 10, 2026

Oct. 10, 2026

Dear colleagues, We are inviting applications for *two postdoctoral positions in Computational Neuroscience* within the Collaborative Research Center *SFB 1280 "Extinction Learning"* at Ruhr University Bochum, Germany. SFB 1280 is an interdisciplinary research consortium investigating the neural, cognitive, and behavioral mechanisms underlying extinction learning. It brings together researchers from neuroscience, psychology, medicine, and computational modeling. The two positions are based in the Computational Neuroscience group and focus on different aspects of learning and memory: *1. Project Z02 – Computational Modeling of Learning Dynamics* Investigate learning dynamics across individuals, species, learning phases, and experimental paradigms. The successful candidate will develop computational models and analysis methods to characterize learning processes using behavioral, neural, and psychophysiological data collected within SFB 1280. The project involves close interdisciplinary collaboration with experimental researchers. *Application deadline: November 2, 2026* https://jobs.ruhr-uni-bochum.de/jobposting/ccfb73ccd824632cad67e3960105dc6e… *2. Project A14 – Spiking Neural Network Models of Hippocampal Memory Processes* Develop quantitative spiking neural network models to investigate the neural mechanisms of episodic memory and spatial navigation. The project focuses on how hippocampal sequences during sharp-wave ripples are generated and shaped by experience and neuromodulation to support memory consolidation. Computational models will be developed in close collaboration with experimental neuroscientists and validated against electrophysiological and behavioral data from rodents. *Application deadline: October 19, 2026 (will be extended to **November 2, 2026**)* https://jobs.ruhr-uni-bochum.de/jobposting/1a216242df7d11a68fb762a850c9d76a… *General information:* - *Starting date:* As soon as possible - *Duration:* Until June 30, 2029 - *Salary:* TV-L E13, 100% position - *Location:* Ruhr University Bochum, Germany We welcome applications from motivated researchers with a PhD in computational neuroscience, neuroscience, physics, computer science, mathematics, or related disciplines. Strong quantitative and programming skills, experience in computational modeling, and enthusiasm for interdisciplinary collaboration are particularly valued. For details about the positions, qualifications, and application procedures, please consult the respective job advertisements. We would appreciate it if you could forward this announcement to interested candidates. Best regards, Sen Cheng. --- Prof. Dr. Sen Cheng Ruhr-Universität Bochum Fakultät für Informatik Institut für Neuroinformatik Universitätsstr. 150 Postfach 110 44801 Bochum Büro: NB 3/33 | +49-234- 32 29486 <0234%203229486> | FAX: +49-234- 32 14210 <0234%203214210> sen.cheng(a)rub.de | rub.de/cns | for2812.rub.de

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Three PhD Positions in Computational Neuroscience and Episodic Memory – Ruhr University Bochum
by Sen Cheng Oct. 10, 2026

Oct. 10, 2026

Dear colleagues, We are inviting applications for *three PhD positions* within the newly established Collaborative Research Center *CRC 1844 "Episodic Memory"* at Ruhr University Bochum, Germany, pending final funding approval. The CRC brings together researchers from computational neuroscience, psychology, neuroscience, and philosophy to investigate how episodic memories are encoded, reconstructed, and used in cognition and behavior. The three positions focus on different aspects of episodic memory research: *1. Project A07 – Computational Modeling of Episodic Memory Development* Develop computational models to investigate how episodic memory develops in children, using modern artificial neural networks and deep reinforcement learning. The project involves close collaboration with experimental researchers in psychology and neuroscience. https://jobs.ruhr-uni-bochum.de/jobposting/535055f07b13f29c9ad9ecf2809e56ae… *2. Project A10 – Episodic Memory and Spatial Navigation* Investigate the functional role of episodic memory in spatial navigation through computational modeling, including artificial neural networks and deep reinforcement learning. The project combines theoretical modeling with simulations of experimental tasks. https://jobs.ruhr-uni-bochum.de/jobposting/bb916076d7b6b55ac97d7e5b3a9872a0… *3. Project Z02 – Gamified Episodic Memory Research and Citizen Science* Investigate episodic memory using behavioral data collected through a digital serious game developed in collaboration with the Cologne Game Lab. The project focuses on computational and statistical analysis of large-scale memory data, connecting fundamental memory research with citizen science and public engagement. https://jobs.ruhr-uni-bochum.de/jobposting/fec7155cf49f90ef54729f1412129f5b… *General information:* - *Application deadline:* November 2, 2026 - *Starting date:* January 1, 2027 (subject to funding approval) - *Duration:* Until December 31, 2030 - *Salary:* TV-L E13, 75% position - *Location:* Ruhr University Bochum, Germany We welcome applications from motivated candidates with a Master's degree in computational neuroscience, computer science, physics, mathematics, or related disciplines. Strong programming and quantitative skills, an interest in memory research, and enthusiasm for interdisciplinary collaboration are particularly valued. For details about the positions, qualifications, and application procedures, please consult the respective job advertisements. We would appreciate it if you could forward this announcement to interested candidates. Best regards, Sen Cheng. --- Prof. Dr. Sen Cheng Ruhr-Universität Bochum Fakultät für Informatik Institut für Neuroinformatik Universitätsstr. 150 Postfach 110 44801 Bochum Büro: NB 3/33 | +49-234- 32 29486 <0234%203229486> | FAX: +49-234- 32 14210 <0234%203214210> sen.cheng(a)rub.de | rub.de/cns | for2812.rub.de

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Michael H. Goldstein speaking in Developing Minds Lecture Series on October 15
by Jochen Triesch Oct. 10, 2026

Oct. 10, 2026

Dear colleagues, On October 15, the Developing Minds global online lecture series is proud to host Michael H. Goldstein, Cornell University, USA, speaking on „Mechanisms of socially guided vocal learning in human infants and songbirds: Connecting contingency to curiosity-driven learning“. His talk will take place at: 09:00 am EDT (Eastern Daylight Time, USA) 13:00 UTC (Universal Coordinated Time) 15:00 CEST (Central European Summer Time) 22:00 JST (Japan Standard Time) The talk will be hosted via zoom: https://uni-frankfurt.zoom-x.de/j/69608764770?pwd=gOHzVZ5y86Ic0MZFik6khLk0m… Meeting-ID: 696 0876 4770 Code: 401171 Abstract: The ability to learn a vocal repertoire is a rare phenomenon, emerging in only a handful of groups, including humans and songbirds. A key parallel in the vocal development of certain songbirds and human babies is the social function of immature vocalizations. The form and timing of adult-infant interactions facilitate real-time vocal learning and have strong influences on the development of mature birdsong and language. Specifically, contingent responses of adults to the plastic song of birds and the babbling of babies have strong influences on learning. What makes contingency effective? We will examine curiosity-driven learning (CDL) as a framework for a mechanistic understanding of learning from contingent social interactions. In CDL, intrinsic reward is generated by changes in the predictability of social interactions as a function of immature vocal behavior. We will discuss several tests of this idea at the behavioral and neural levels in songbirds and human infants. Taken together, my studies indicate that temporal characteristics of social interaction are rewarding to young songbirds and human infants, and reward pathways may drive learning in social contexts. Short Bio: Michael Goldstein is a Professor of Psychology and a Stephen H. Weiss Presidential Fellow at Cornell University. He received his PhD in developmental psychology and animal behavior from Indiana University. Michael studies the development and evolution of vocal communication and social learning. He takes a comparative approach, investigating vocal communication and social development in human infants and songbirds. His research on the developmental processes by which knowledge of speech and song are acquired has revealed new mechanisms by which the social environment influences the learning of species-typical adaptive skills. By studying social interaction and learning as it occurs in moment-to-moment interactions between infants and social partners, Michael’s research connects our knowledge of social influences on developmental outcomes with specific processes of learning. A major finding from his work is that immature vocal behavior, such as babbling in humans and plastic song in songbirds, has crucial functional significance for learning, but only when studied in a social context. Michael received the David Kucharski Young Investigator Award from the International Society for Developmental Psychobiology and the Distinguished Early Career Contribution Award from the International Society on Infant Studies. His research has been supported by grants from NICHD and NSF. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt Recent publications: https://www.nature.com/articles/s41467-025-64234-z https://ieeexplore.ieee.org/abstract/document/11204381?casa_token=RBlsm2RTa…

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Scientist I, Theory of neural circuits, Allen Institute
by Ulises Pereira Obilinovic Oct. 10, 2026

Oct. 10, 2026

Dear Colleagues, The Allen Institute, Neural Dynamics (a/ND) in Seattle is hiring a Scientist I to work in my team on data-driven theories of how circuit structure shapes neural dynamics and computation. a/ND produces brain-wide connectivity atlases, simultaneous spike recordings from thousands of neurons across multiple brain regions, and targeted optogenetic perturbations during behavior, from coarse to holographic. The Scientist will build statistical physics theories of recurrent circuit models constrained by these data, use them to explain how connectivity structure organizes neural dynamics and computation, and test their predictions in new perturbation experiments at the Institute. We are looking for candidates with strong expertise in applied mathematics and/or statistical physics, fluency in modern machine learning, and an interest in neuroscience. Salary range: $87,450 - $108,250. Visa sponsorship and relocation assistance are available. To apply: https://alleninstitute.org/careers/jobs?jobId=f4864596-9e85-bbf6-a1f6-9e880… Feel free to email me with questions. Best, Ulises Pereira-Obilinovic Senior Scientist Allen Institute, Neural Dynamics ulises.pereira.o(a)alleninstitute.org

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Postdoctoral position in computational modeling of education data
by Kou Murayama Oct. 9, 2026

Oct. 9, 2026

Dear all, We are seeking a postdoctoral research fellow at the Hector Research Institute of Education Sciences and Psychology at the University of Tübingen, Germany. This is a joint project with Michiko Sakaki (Hector Research Institute) and Peter Dayan (Max Planck Institute for Biological Cybernetics). # Key points - Topic: computational modeling of large-scale digital education data with the focus on motivation, emotion, metacognition, self-control, etc. - Position: full-time (100%) - Duration: 3 years - Profile: Excellent research track record and proven expertise in computational modeling - Application deadline: Oct 30, 2026 Full details and application instructions: https://uni-tuebingen.de/universitaet/karriere/newsfullview-stellenangebote… Please feel free to contact me with informal inquiries, and I would be grateful if you could forward this to anyone who may be interested. Best wishes, Kou Murayama -- / Kou Murayama, Ph. D. / Hector Research Institute of / Education Sciences and Psychology / University of Tübingen / k.murayama(a)uni-tuebingen.de / https://motivationsciencelab.com/

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Request to circulate: PhD and PostDoc position: TDA + PDEs + Deep Learning of 3D+time microglia morphology (Prague and Warsaw)
by Hahn, Jooyoung Oct. 9, 2026

Oct. 9, 2026

Dear colleagues, Please find below an announcement of PhD and postdoc positions on the Topological Data Analysis (TDA) + Partial Differential Equations (PDEs) + Deep Learning of 3D+time microglia morphology Regards, Jooyoung Hahn Assistant Professor, FNSPE, Czech Technical University in Prague ---------------------------------------------- Pre-announcement: PhD and postdoc positions in MIND-MAP What does it mean when a brain cell changes its shape? In MIND-MAP, we turn 3D + time microscopy of microglia into geometry, topology and a quantitative language for brain states. The project combines mathematical method development with real, challenging biological data: the goal is not merely to apply existing tools, but to develop new ones. Two groups are recruiting, within a three-year project (2027–2029): PhD position at CTU in Prague (FNSPE), with Jooyoung Hahn • Hybrid PDE + deep-learning segmentation, scale-aware 3D shape representations, tracking in 3D + time, and geometry-informed TDA • Master's degree in mathematics, applied mathematics, computer science, physics or a related field; strong numerical analysis; Python and/or C++ • Contact: jooyoung.hahn(a)fjfi.cvut.cz<mailto:jooyoung.hahn@fjfi.cvut.cz> by 20 November 2026 • Flyer: https://jooyounghahn.github.io/jobs/MIND-MAP_PhD_CTU_Prague.html<https://www.linkedin.com/safety/go/?url=https%3A%2F%2Flnkd%2Ein%2FdNTxyFAc&…> PhD and Postdoc positions at the University of Warsaw, with Pawel Dlotko • Topological descriptors of shapes that change in time, shape trajectories, Ball Mapper and interpretable visualization • PhD: master's degree in a quantitative field. Postdoc: PhD with experience in TDA, geometry or related methods • Contact: p.dlotko(a)uw.edu.pl<mailto:p.dlotko@uw.edu.pl> • Flyer: https://jooyounghahn.github.io/jobs/MIND-MAP_PhD_Postdoc_Warsaw.html<https://www.linkedin.com/safety/go/?url=https%3A%2F%2Flnkd%2Ein%2Fd3sRijmE&…> Both groups work closely with Sandra Siegert's lab at ISTA (Austria), with access to unique 3D and 3D + time microscopy data, and with conferences and research visits. Interested? Send a CV and a few lines about your research interests and what you can bring. This is a pre-announcement; the official calls with formal conditions will be published separately. Please share with anyone who might be interested. #PhD<https://www.linkedin.com/search/results/all/?keywords=%23phd&origin=HASH_TA…> #Postdoc<https://www.linkedin.com/search/results/all/?keywords=%23postdoc&origin=HAS…> #TopologicalDataAnalysis<https://www.linkedin.com/search/results/all/?keywords=%23topologicaldataana…> #AppliedMathematics<https://www.linkedin.com/search/results/all/?keywords=%23appliedmathematics…> #Neuroscience<https://www.linkedin.com/search/results/all/?keywords=%23neuroscience&origi…> #DeepLearning<https://www.linkedin.com/search/results/all/?keywords=%23deeplearning&origi…> #PartialDifferentialEquations<https://www.linkedin.com/search/results/all/?keywords=%23partialdifferentia…>

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Kosice Neuroscience Workshop, 19 - 21 April, 2027
by Norbert Kopco Oct. 8, 2026

Oct. 8, 2026

SAVE THE DATE The 6th workshop on *Cognitive neuroscience of auditory and cross-modal perception* *19 - 21 April 2027, Košice (pronounced KOH-shih-tse), Slovakia* https://pcl.upjs.sk/workshop-2027 Objectives: * The workshop centers on how*people perceive, attend to*, and *understand *sounds—especially *speech*—in *complex *spatial, noisy, multimodal, and technologically mediated *environments*. * It aims to *connect basic auditory mechanisms* with *real-world listening applications*, using *innovative tools* such as games, mobile measures, neuroimaging, modeling, virtual environments, and hearing technologies. * It will include advanced research talks (and introductory lectures) on a range of topics related to the */neural processes of auditory, visual and cross-modal perception/*. * The workshop is aimed at */early-stage and advanced students and young researchers/*, and it will provide ample opportunities for direct interactions between the lecturers and the attendees. The workshop will follow up on our previous workshops <https://pcl.upjs.sk/workshop>. Guest speakers and SAV consortium <https://pcl.upjs.sk/sav/> speakers (tentative) Inyong Choi, University of Iowa <https://csd.uiowa.edu/people/inyong-choi>, United States Norbert Vanek <https://profiles.auckland.ac.nz/norbert-vanek>, University of Auckland, New Zealand G. Christopher Stecker <https://www.boystownhospital.org/research/faculty/christopher-stecker>, Boys Town National Research Hospital <https://www.boystownhospital.org/research>, United States Eleni Vlahou <https://www.researchgate.net/profile/Eleni-Vlahou>, University of Thessaly <https://www.uth.gr/en>, Greece Mathieu Lavandier <https://mathieulavandier.wordpress.com/>, ENTPE - University of Lyon <https://www.entpe.fr/> France Robert Baumgartner <https://www.oeaw.ac.at/en/ari/our-team/baumgartner-robert>, Austrian Academy of Sciences <https://pcl.upjs.sk/workshop-2019-talks#Bernhard_Laback>, Austria Piotr Majdak, Austrian Academy of Sciences <https://pcl.upjs.sk/workshop-2019-talks#Piotr_Majdak>, Austria Anja Pahor <https://ff.um.si/oseba/anja-pahor/>, Univerza v Mariboru <https://www.um.si/>, Slovenia Jyrki Ahveninen <https://researchers.mgh.harvard.edu/profile/13092800/Jyrki-Ahveninen>, Mass General Research Institute / Harvard Medical School <https://researchers.mgh.harvard.edu/profile/13092800/Jyrki-Ahveninen>, United States Virginia Best <https://www.bu.edu/sargent/profile/virginia-best/>; Boston University <https://www.bu.edu/>, United States Aaron Seitz <https://cos.northeastern.edu/people/aaron-seitz/>, Northeastern University <https://www.northeastern.edu/>, United States Norbert Kopco, P. J. Šafárik University in Košice <https://pcl.upjs.sk/noro/>, Slovakia Registration: The workshop is open to all interested students/scientists. Registration is free of charge but required. To register, please send an email to kogneuro(a)gmail.com stating your full name and affiliation and the dates on which you are planning to attend. All accepted abstracts will be published on the workshop website and in the abstract book. No proceedings will be published. In case you would like to have a presentation please send us an abstract (up to 200 words; also indicate whether you prefer poster or oral presentation) no later than *February 1, 2027*. Also, see travel grant info below. Student travel grants: We offer a limited number of travel awards of 250 EUR to offset the cost of attending for students and young researcher. To apply, you need to be a presenting author. Please also introduce yourself and describe your motivation / reasons you need the travel grant. Organizers: Norbert Kopco, P. J. Šafárik University in Košice <https://pcl.upjs.sk/noro/> Eleni Vlahou, University of Thessaly <https://www.uth.gr/en> Frederick Gallun <https://www.ohsu.edu/people/frederick-j-gallun-phd>, Oregon Health and Science University <https://www.ohsu.edu/> Robert Baumgartner <https://www.oeaw.ac.at/en/ari/our-team/baumgartner-robert>, Austrian Academy of Sciences <https://www.oeaw.ac.at/isf/> Piotr Majdak, Austrian Academy of Sciences <https://www.oeaw.ac.at/en/ari/team/our-team/majdak-piotr> Mathieu Lavandier <https://mathieulavandier.wordpress.com/>, ENTPE – University of Lyon <https://www.entpe.fr/> Aaron Seitz, Northeastern University Perception <https://cos.northeastern.edu/people/aaron-seitz/>and Cognition Lab <https://pcl.upjs.sk/contact/> Acknowledgement: The project has received funding from the HORIZON-MSCA-2022-SE-01 call (MSCA Staff Exchanges) of the research and innovation programme of Horizon Europe under the Marie Sklodowska-Curie actions grant agreement N° 101129903. <https://pcl.upjs.sk/sav/> Sponsorship: Organization of the workshop has been partially supported by the European Acoustics Association <https://euracoustics.org/>.

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Funded PhD opportunities in social neuroscience at Texas A&M — Fall 2027
by Speer, Sebastian Oct. 8, 2026

Oct. 8, 2026

The Coupled Minds Lab at Texas A&M University is recruiting PhD students to join the Department of Psychological and Brain Sciences in Fall 2027. Our lab studies how conversations shape the way people connect, change their minds, and learn, using fMRI hyperscanning, natural language processing, and computational modeling. We investigate how people explore ideas together, build consensus, and learn through interactions with both human and AI partners. We welcome interest from students excited about social neuroscience, naturalistic interaction, and computational approaches to understanding human behavior. The application deadline is December 1, 2026. Further information is available here: * Lab website: https://coupled-minds.github.io/ * Program and application information: https://artsci.tamu.edu/psychological-brain-sciences/academics/graduate/phd… I’d be happy to hear from prospective applicants and discuss their research interests and fit with the lab. Please also feel free to share this announcement with students or research assistants who might be interested. Best, Sebastian Speer Assistant Professor, Psychological and Brain Sciences Texas A&M University

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Save the Date | ACDL 2027 – 7–11 June 2027 | Tuscany, Italy
by ICAS Organizing Committee Oct. 8, 2026

Oct. 8, 2026

Save the Date | ACDL 2027 – 7–11 June 2027 | Tuscany, Italy Dear Colleagues and Friends, We are pleased to invite you to *save the date for the Advanced Course on Deep Learning (ACDL 2027)*, which will take place from *7 to 11 June 2027* at the *Riva del Sole Resort & SPA, Tuscany, Italy*. *ACDL 2027 – From AI Agents to Agentic AI* The course will bring together researchers, academics, PhD students, postdoctoral researchers and professionals to explore recent advances in deep learning and artificial intelligence, with a particular focus on the emerging transition from AI agents to agentic AI. Set in the beautiful surroundings of the Tuscan coast, ACDL offers an opportunity to engage with leading research, exchange ideas and establish new scientific collaborations in a residential academic setting. Please mark *7–11 June 2027* in your calendar. Further information about the scientific programme, registration and accommodation will be announced in due course. Registration deadline: February 23, 2027 https://acdl2027.icas.events/registration/ We would be delighted to welcome you to Tuscany for ACDL 2027. Kind regards, ACDL 2027 Organising Committee Website: https://acdl2027.icas.events

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IOB PhD and MD–PhD Program is accepting applications
by PHD Program Oct. 8, 2026

Oct. 8, 2026

🧠 PhD Program in Translational Neuroscience at IOB Basel Switezrland *2027 Intake — Applications Now Open* 📅 *Deadline:* 16 November 2026, 5:00 PM (Zürich time) Applications are now open for the 2027 intake of the IOB PhD Program at IOB <https://iob.ch/> 🎓 *Fully funded for Swiss and international students*, including: - Tuition fees - Swiss-standard salary - Travel funding for attending conferences and workshops We are looking for candidates with: - A *Master’s degree* or MD in a relevant field - A keen interest in *neuroscience, machine learning, or both* - *Fluent English* - A background in *Mathematics, Computer Science, Engineering, Physics, Neuroscience, Biology, Medicine*, or a related field 👉 *Application through the IOB Recruitment Portal <https://iob.ch/education-careers/open-positions/>* Program requirements <https://iob.ch/education-careers/our-phd-md-phd-program/the-iob-phd-md-phd-…> For more info write us at *phd-program(a)iob.ch <phd-program(a)iob.ch>* [image: image.png] -- *Disclaimer: This e-mail and any attached files may contain confidential and/or privileged information. If you are not the intended recipient (or have received this e-mail in error), please notify the sender immediately by replying to this e-mail and immediately complete the removal/destruction of this e-mail from your system. Any unauthorised copying, disclosure or distribution of the material in this e-mail is strictly forbidden.*

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Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15
by Rubchinsky, Leonid L Oct. 7, 2026

Oct. 7, 2026

Dear Colleagues, We would like to remind that the late-breaking poster abstracts submission at CNS*2023 ends on June 15. CNS*2023, 32nd Annual Computational Neuroscience Meeting, will be in Leipzig, Germany, on July 15-19, 2023. The information about the meeting and abstract submission can be found here: Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

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[Postdoc] Neural Circuits of Sensorimotor Control – University of Copenhagen
by Carmelo Bellardita Oct. 5, 2026

Oct. 5, 2026

Dear colleagues, I am recruiting a postdoctoral researcher to join the Bellardita Lab at the Department of Neuroscience, University of Copenhagen. The project investigates how neural circuits generate and adapt movement, combining experimental systems neuroscience with quantitative behaviour and computational analysis. We are particularly interested in candidates with a background in systems, circuit or behavioural neuroscience. Relevant experience may include in vivo neural recordings or imaging, optogenetic/genetic manipulation, quantitative behavioural analysis, neural data analysis, or related computational approaches. Postdoc in Neural Circuits of Sensorimotor Control Bellardita Laboratory Department of Neuroscience, University of Copenhagen Copenhagen, Denmark Duration: 2 years Start: 1 January 2027 or by agreement Application deadline: 14 October 2026 Full description and application: https://employment.ku.dk/all-vacancies/?show=169394 I would be very grateful if you could share this opportunity with potentially interested candidates. Best wishes, Carmelo Bellardita Associate Professor Department of Neuroscience University of Copenhagen cbellardita(a)sund.ku.dk Get Outlook for Android<https://aka.ms/AAb9ysg>

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Fully funded PhD positions in computational neuroscience : modeling the complexity of neural oscillations
by DI VOLO MATTEO Oct. 5, 2026

Oct. 5, 2026

Dear Colleagues, Fully funded PhD positions are available in my group at the Lyon Neuroscience Research Center (CRNL), Lyon 1 University, starting in early 2027. The project (Modeling the Complexity of Neural Oscillations, MoCoNo) studies how oscillatory patterns in prefrontal cortex support cognition, and which circuit mechanisms generate them. It combines analysis of electrophysiological recordings with biophysical computational models of cortical circuits. We are looking for candidates with a Master's in computational neuroscience, physics, mathematics, computer science or a related field, strong programming skills, and an interest in data analysis or modelling. To apply, send a CV, a short motivation letter and the names of two referees to matteo.di-volo(a)univ-lyon1.fr before 31 October 2026. For more information about the project, feel free to contact me at the same address. Best regards, Matteo Di Volo -------- Prof. Matteo Di Volo University Claude Bernard Lyon1 https://matteodivolo.wordpress.com/ Master 2 Computational Neurosciences https://masterneuro.univ-lyon1.fr/m2-cns/

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Postdoctoral position in Applied Mathematics & Computational Neuroscience at Oxford
by Lida Kanari Oct. 5, 2026

Oct. 5, 2026

Dear colleagues, I would be grateful if you could circulate the following opportunity to anyone who may be interested to join my research group in Oxford. *Postdoctoral Research Associate in Applied Mathematics and Computational Neuroscience* *University of Oxford, Mathematical Institute* We are inviting applications for a 1-year postdoctoral position in my group at the University of Oxford, funded by UKRI/MRC. The successful candidate will work on the project “Algebraic topology bridging the gap between single neurons and networks”, at the interface of applied mathematics, computational neuroscience, and algebraic topology. There will be opportunities to work both independently and collaboratively within Oxford and with international collaborators. The position has a flexible start date, with an earliest start of 1 January 2027 (ideally between January and June 2027). *Application deadline: 12 noon (UK time), Monday 26 October 2026.* Full details and application instructions: https://www.maths.ox.ac.uk/node/83168 I would be very grateful if you could share this announcement with suitable candidates and relevant networks. Best wishes, Lida Kanari

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GCNU-SWC Joint PhD Programme: Applications now open!
by I-Chun Lin Oct. 5, 2026

Oct. 5, 2026

Gatsby Unit and Sainsbury Wellcome Centre Joint PhD Programme Deadline: 17:00 GMT, Monday 9 November 2026 This four-year joint PhD programme, launched by the Gatsby Computational Neuroscience Unit (GCNU) and Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC), aims to bridge the gap between theory and experiment. The programme immerses students in both experimental and theoretical thinking, providing rigorous training in a supportive environment for an interdisciplinary research career in academia or industry. First-year courses provide a comprehensive introduction to systems neuroscience, theoretical/computational neuroscience and machine learning. Students will be part of a broader trainee cohort across both centres, interacting and engaging in scientific discussion with both SWC and GCNU researchers with equal emphasis. GCNU and SWC provide a unique opportunity to bring together a critical mass of theoreticians and experimentalists, fostering close interaction both among themselves and with researchers in the ELLIS Unit at UCL and across related UCL departments and domains, such as UCL Neuroscience Domain; Artificial Intelligence; Computer Science; Statistical Science; as well as researchers at the nearby Francis Crick Institute. The applicants should have a strong analytical and mathematical background, a keen interest in neuroscience, and a relevant first degree (e.g., in Computer Science, Cognitive Psychology, Engineering, Mathematics, Neuroscience, Physics, Statistics). Full funding is available regardless of nationality. We also welcome applicants who have secured, or are seeking, funding from other sources. More information on the joint programme (including the key differences between the three PhD programmes offered by GCNU and SWC) and details on how to apply can be found on https://www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gcnu-swc-joint-ph…. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

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PhD Opportunity: Multi-Omics Digital Twins for Brain Ageing
by Caroline Lea-Carnall Oct. 5, 2026

Oct. 5, 2026

PhD Opportunity: Multi-Omics Digital Twins for Modelling Brain Ageing and Intervention Response Dear colleagues, This PhD will investigate the question "Why do some people maintain good brain health as they age, while others experience much faster decline?" We are looking for an enthusiastic PhD student to develop multi-omics digital twins - computational models that capture an individual’s biological state, model how it changes over time, and explore how they might respond to different interventions. The project will combine multi-omics data with computational modelling and machine learning to understand the biological processes underlying healthy and accelerated brain ageing. Where appropriate, these data will also be linked with imaging, cognitive and clinical measures. The project will provide interdisciplinary training in multi-omics analysis, machine learning, computational modelling, and responsible health-data research, with opportunities to work across Manchester’s research communities in ageing, digital health, and data science. The aim is to move beyond simply describing how quickly someone is ageing, towards understanding why individuals age differently and identifying biological markers of resilience and potential intervention targets. 📅 Start date: September 2027 📍 University of Manchester If you are interested in applying or would like to find out more about the project, please get in touch or apply via this link<https://www.findaphd.com/phds/project/school-of-engineering-phd-scholarship…>. Best wishes, Caroline _________________________________________________________________________________________________ Caroline Lea-Carnall, PhD | PhD FHEA Lecturer in Neuroscience Co-Programme Director for MSc Neuroimaging for Clinical and Cognitive Neuroscience Faculty of Biology, Medicine and Health Booth Street East, The University of Manchester, M13 9SS MSc Neuroimaging for Clinical and Cognitive Neuroscience<https://www.manchester.ac.uk/study/masters/courses/list/09754/msc-neuroimag…>

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Open submissions: Multiscale Brain Imaging, Networks and AI
by Vesna Vuksanovic Oct. 4, 2026

Oct. 4, 2026

Dear all We are currently welcoming submission to our Frontiers Research Topic on multiscale integration of brain imaging and physiological signals, with a focus on network and AI-driven approaches. If this overlaps with your work please have a look at the topic and submission details here: https://www.frontiersin.org/research-topics/84496/multiscale-integration-of… Best wishes, Vesna Vesna Vuksanovic, PhD, FHEA Programme Lead for MSc Health Data Science Senior Lecturer Health Data Science _______________________________________________________________________________________________________________________________________________ Swansea University Medical School Data Science Building Office DS04 1st Floor Tel. +44(0)1792 60 2212 Web: vesna-vuksanovic<https://www.swansea.ac.uk/staff/vesna.vuksanovic/>

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PhD Opportunities at University of Colorado Anschutz
by Tahra Eissa Oct. 2, 2026

Oct. 2, 2026

Dear Colleagues, I am writing to bring to your attention a growing and highly active computational neuroscience community at the University of Colorado Anschutz School of Medicine. We are actively recruiting prospective PhD students and welcome inquiries from candidates with a range of disciplinary backgrounds. The University of Colorado offers three distinct doctoral pathways for those interested in computational neuroscience: -The Neuroscience Program <https://www.cuanschutz.edu/graduate-programs/neuroscience/home> (biology-focused) - The Computational Bioscience Program <https://www.cuanschutz.edu/graduate-programs/computational-bioscience/home> (computationally focused) - The Biomedical Engineering Program <https://engineering.ucdenver.edu/bioengineering/graduate-programs/phd-in-bi…> with Neuroengineering Certificate (engineering-oriented) Our computational neuroscience faculty include Laureline Logiaco, Chris Cueva, and Tahra Eissa, with additional principal investigators currently recruiting. Students in our community pursue rigorous, interdisciplinary research at the intersection of computation and neuroscience, with access to collaborative resources and community across all three programs. We encourage you to share this announcement with strong candidates from your departments or networks who may be considering doctoral study in this area. Please do not hesitate to reach out with any questions. Best, Tahra Eissa, PhD Assistant Professor University of Colorado Anschutz School of Medicine tahra.eissa(a)cuasnchutz.edu

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COSYNE 2027: Call for Workshop Proposals; Abstract submission is now open; UNDERGRADUATE travel grants are now open
by Tomas Hromadka Oct. 1, 2026

Oct. 1, 2026

==================================================== Computational and Systems Neuroscience 2027 (Cosyne) MAIN MEETING & WORKSHOPS 11 - 16 March 2027 Montreal, Canada www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Abstract submission deadline: 18 October 2026 Workshop proposal submission is now open. Workshop proposal submission deadline: 01 November 2026 UNDERGRADUATE travel grant applications are now open. UNDERGRADUATE travel grant submission deadline: 30 October 2026 ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ----------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------- A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. Workshop proposals deadline: 01 November 2026 ***To submit your Cosyne 2027 Workshop Proposal, please visit Cosyne.org -> Workshops -> Call for Proposals*** The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. - There will be 6-10 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning and late afternoon sessions. - Workshops will be held in Montreal, Canada. - Workshop speakers do NOT receive free registration, travel expenses, or accommodation for either the main meeting or the workshop sessions. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers, submitting a final schedule for the workshop program, and moderating the discussion. Organizers can, but need not, be speakers. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. Any required multimedia resources beyond a projector, screen, and microphones will be the responsibility of the workshop organizers to coordinate with Cosyne and the workshop venue A/V staff. EVALUATION CRITERIA As stated above, the goal of Cosyne workshops is to provide an interactive, informal forum for discussions. Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Workshop proposals will be evaluated by the Cosyne Workshop Chairs, and a subset of the proposals will be selected. The proposals will be evaluated according to the following six metrics (which will be weighted equally): - Relevance to the Cosyne community - Integration of experimental and theoretical issues - Current interest in the topic in the scientific community - Potential for new research directions and interactions to emerge - Distinctive scope/approach compared to other workshops (including previous years’) - Diversity and equity in the proposed speaker (we are looking for representation of women or nonbinary individuals, individuals from other underrepresented groups, and a balance of established and early career researchers) In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a speaker can take part in no more than two Workshops. WORKSHOP PROPOSAL Each workshop proposal will include: - Name(s) and email address(es) of the organizers (2 organizers per session is strongly recommended, but 3 will be allowed). - A title. - A brief description of 1. what the workshop will address and accomplish, 2. why the topic is of interest, 3. who is the targeted group of participants. - Names and email addresses of speakers, who should already have agreed to participate should the proposal be accepted. - Only proposals for one-day workshops will be accepted. The Workshop Chairs reserve the right to ask two workshops to merge into a two-day workshop, should topics align. - A brief resume of the workshop organizer(s) along with a short list of workshop-relevant publications (about half a page total). - A description of how you have addressed diversity and equity in your workshop. Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and to have plenty of breaks. We recommend keeping the number of talks small (i.e., fewer than 10 talks per day). WORKSHOP COSTS Detailed registration costs, etc, will be at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2027 WORKSHOP CHAIRS Workshop Chairs: N Alex Cayco Gajic (ENS) and Marcelo Mattar (NYU) COSYNE WORKSHOPS CONTACT workshops [at] cosyne.org ----------------------------------------------------- COSYNE TRAVEL GRANTS ----------------------------------------------------- The COSYNE community is committed to bringing talented scientists together at our annual meeting, regardless of their ability to afford travel. Thus, a number of travel grants will be awarded to students, postdocs, and PIs for travel to the COSYNE meeting. We currently offer five travel grant programs: Childcare, Presenters, New Attendees, Mentorship, and Undergraduate Travel Grants, see Cosyne.org -> Attend -> Travel Grants for details. Applicants may apply for more than one grant program, but no applicant will receive more than one award. You may apply for a travel grant before receiving notification about the outcome of your submission. You may also apply if you are not submitting anything to the Main Meeting but still wish to attend Cosyne 2027. ---------------------------------------------------- COSYNE 2027 ---------------------------------------------------- COSYNE INVITED SPEAKERS Dani Bassett (UPenn) Chand Chandrasekaran (Boston U) Christine Constantinople (NYU) Paul Cisek (U Montreal) Kevin Franks (Duke) Leslie P Kaelbling (MIT) Andy Leifer (Princeton) Scott Linderman (Stanford) Amy Orsborne (U Washington) Cengiz Pehlevan Kempner (Harvard) Kanaka Rajan (Harvard; Kempner Inst) Rebecca Saxe (MIT) Carsen Stringer (Janelia) ORGANIZING COMMITTEE General Chairs: Kimberly Stachenfeld (DeepMind) and Mark Histed (NIH) Program Chairs: Annegret Falkner (Princeton) and Guillaume Lajoie (MILA/U Montreal) Workshop Chairs: N Alex Cayco Gajic (ENS) and Marcelo Mattar (NYU) Tutorial Chairs: Eva Dyer (Georgia Tech) and Alex Williams (NYU) Mentorship and Networking Chairs: Renata Brito (Mount Sinai) and Srikanth Ramaswamy (Newcastle U) Undergraduate Travel Chairs: Lea Duncker (Columbia) and Kevin Miller (DeepMind) Development Chair: Michael Long (NYU) Media Chairs: Roxana Zeraati (MPI Biol Cybernetics) and Claire Sturgill (TU Dresden) Social Media Chair: Shervin Safavi (TU Dresden) Poster Design: Maja Bialon PROGRAM COMMITTEE Annegret Falkner (Princeton) Guillaume Lajoie (MILA/U Montreal) Thomas Akam (Oxford) Mikio Aoi (UCSD) Shahab Bakhtiari (U Montreal) Arkarup Banerjee (CSHL) Joao Barbosa Colin Bredenberg Fanny Cazettes (Aix-Marseille U) Angus Chadwick (U Edinburgh) Vincent Costa (Emory) Ben Cowley (CSHL) Emily Dennis (Janelia) Sridhar Devarajan (IISc) Celine Drieu (JHU) Becket Ebitz (U Montreal) Arseny Finkelstein (Tel Aviv University) Juan Gallego (Champalimaud) Erin Grant (U Alberta) Christine Grienberger (Brandeis) Laura Grima (Janelia) Yu Hu (ION, CAS Shanghai) Michele Insanally (U Pittsburgh) Nina Kudryashova (U Edinburgh) Helena Liu (U Toronto) Thomas Zhihao Luo (U Utah) Paul Masset (McGill) Francesca Mastrogiuseppe (Champalimaud) Luca Mazzucato (U Oregon) Dan McNamee (Champalimaud) Cory Miller (UCSD) Wilten Nicola (U Calgary) Ramon Nogueira Manas (U Chicago) Gouki Okazawa (ION, CAS Shanghai) Agostina Palmigiano (UCL) Matt Perich (U Montreal) Rui Ponte Costa (Oxford) Lorenzo Posani (Paris Brain Institute) Dean Pospisil (UIUC) Isabeau Premont-Schwarz (U Laval) Carolina Rezaval (U Birmingham) Shreya Saxena (Yale) Evan Schaffer (Sinai) Heike Stein Weinan Sun (Cornell) Roxana Zeraati Chris Zimmerman (U Utah) Petr Znamenskiy (Crick) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details.

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PhD in Perceptual Learning (fMRI + modelling) in San Sebastian, Spain
by Alejandro Tabas Oct. 1, 2026

Oct. 1, 2026

Dear friends and colleagues, The Perceptual Inference Group at the BCBL (Basque Center on Cognition, Brain and Language) in San Sebastian, Spain, is hiring a PhD to work on a project investigating how the brain learns the statistical structure of sensory world across sensory modalities. The project will combine fMRI and computational modelling, with more reliance on one or the other depending of the preferences and background of the student. This is a great opportunity for cognitive neuroscientists who want to learn computational modelling, or for computational neuroscientists who want to learn state of the art human neuroimaging. The group is currently partially embedded in the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig and there may be opportunities for collaborations. The PI, Alejandro Tabas, currently holds an ERC Starting Grant and there's plenty of funding for conferences and equipment. The BCBL is an international, multidisciplinary research centre in San Sebastian, a stunning coastal city renowned for its quality of life and its amazing gastronomy. The centre offers state-of-the-art neuroimaging infrastructure, including in-house MEG and fMRI machines, and strong support for work-life balance and professional development. Some details: 4-year contract, full-time Start date is flexible (January to April 2027) Application deadline: 8th of November 2026 Full details and application link: https://calls.bcbl.eu/index.php?option=com_myprofile&Itemid=278&task=view&i… Alejandro <tabas(a)bcbl.eu> is very happy to hold informal chats about the project and the position with prospective applicants. Please contact BCBL's HR (email in the application link) for questions about the application process, deadline, etc. Apologies for cross-posting. Best, Alejandro

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Postdoc position in model-based neurostimulation in Strasbourg (France)
by camille.gontier＠inria.fr Oct. 1, 2026

Oct. 1, 2026

Dear colleagues, I am recruiting a postdoc to join our newly created research team, jointly hosted by Inria (https://www.inria.fr/en/nectarine) and the University of Strasbourg (France). The aim of our project is to develop efficient closed-loop control methods for neurostimulation and to apply them to help in the treatment in various psychiatric disorders. It is highly interdisciplinary, and sits at the crossroads between machine learning, engineering, and clinical neuroscience. We are thus looking for motivated candidates with a strong quantitative background, experience in implementing ML models, and interest in clinical applications. The position is expected to start in December 2026, although the exact starting date can be flexible. The first contract will have a duration of 14 months, and can be renewed until May 2029. Interested candidates should send a CV and a brief statement of interest (up to 1 page) to camille.gontier(a)inria.fr Best regards, Camille Gontier Tenured faculty, Inria

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UniReps in Paris 🔵🔴 We have a date!
by Organizers Oct. 1, 2026

Oct. 1, 2026

Hi all, We’re excited to announce the UniReps workshop, taking place on December 12th coinciding with NeurIPS in Paris! The Call for Papers <https://unireps.org/2026/call-for-papers> for the 4th edition of UniReps <https://unireps.org/2026/> is live! Submit via OpenReview <https://openreview.net/group?id=UniReps.org/2026/Workshop> Deadline: 4th October 2026 (AoE) Our workshop theme focuses on a central question: Why, when, and how do distinct learning processes yield similar representations, and to what extent can these be unified? Neural systems, whether artificial or biological, often converge on structurally similar internal representations when exposed to semantically related inputs. This workshop brings together researchers from Neuroscience, Artificial Intelligence, and Cognitive Science to build a unified understanding of this phenomenon and explore its theoretical and practical implications. We invite contributions addressing the following questions: - When? Under what conditions do similar representations emerge, and how can we measure this? - Why? What mechanisms, biological or computational, drive representational convergence? - What for? How can we harness this understanding for modular deep learning, model merging, transfer learning, and beyond? *Topics of Interest *Here’s a non-exhaustive list of themes we’re excited to explore, targeting especially their relationship with the questions listed above: - Model merging, stitching, and compositionality - Representational alignment and similarity measures - Identifiability and symmetry in neural models - Learning dynamics and mechanistic interpretability - Multimodal and multiview learning - Disentangled representations - Linear mode connectivity - Representation Similarity Analysis (RSA) - Multi-agent communication - Mechanistic interpretability - Representation universality Submission Tracks Full Paper (Archival) - Up to 9 pages (excluding references and appendix) - Anonymous submission - Published in dedicated workshop proceedings - Poster + spotlight opportunities Extended Abstract (Non-Archival) - Up to 4 pages - Anonymous submission - Poster + spotlight opportunities - Perfect for early-stage work, negative results, or opinion pieces Both tracks are eligible for best papers awards. *Join Our Program Committee *We’re looking for dedicated reviewers to help maintain the high standard of our review process. Each reviewer is assigned no more than two submissions, and we’re planning to introduce Reviewer Awards to recognise outstanding contributions. Interested? Sign up here <https://docs.google.com/forms/d/e/1FAIpQLScGnnXH13fNw50Sm09oeXvTup-ZkpmSLq4…> to join the UniReps 2026 Program Committee. We look forward to your submissions and hope to see you at UniReps! Warm regards, The UniReps Organising Team

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Postdoctoral Position: Autism, Psychosis, Computational Psychiatry & Multimodal Neuroimaging (Stanford University
by daelsaid＠stanford.edu Oct. 1, 2026

Oct. 1, 2026

Dear All, We are seeking a postdoctoral scholar to join Dr. Kaustubh Supekar's laboratory (https://med.stanford.edu/supekar-lab/education.html) and contribute to two NIH R01-funded projects at the intersection of neuroscience, artificial intelligence, and precision psychiatry. The Supekar lab integrates neuroscience and artificial intelligence (AI) to advance understanding of brain function and the mechanisms underlying neuropsychiatric disorders. Through rigorous research and clinically oriented translation, we develop evidence-based innovations to improve diagnosis, prognosis, and treatment, with the ultimate goal of improving outcomes for individuals affected by mental illness. The postdoctoral scholar will work on projects focused on autism and schizophrenia-spectrum disorders, using large-scale neuroimaging, clinical, cognitive, and molecular datasets to discover neurobiological patterns that can inform mechanistic understanding as well as diagnosis, prognosis, and treatment. One project focuses on identifying biologically grounded subtypes of psychiatric disorders, particularly autism, using novel computational approaches, neuroimaging-derived brain circuit fingerprints and transcriptomic signatures. A second project focuses on developing multimodal prognostic markers for psychosis in youth at clinical high risk, using state-of-the-art AI models and multimodal neuroimaging, clinical, and cognitive data. The position will emphasize advanced computational and AI-based approaches, including predictive modeling, stratification, explainable AI, and integrative multimodal analysis. The scholar will have opportunities to lead first-author publications, develop independent lines of inquiry, present at national and international conferences, and collaborate with a multidisciplinary network of investigators. The position provides strong mentorship and career development support for candidates pursuing independent research careers in precision psychiatry, neuroimaging, computational neuroscience, AI for mental health, and/or multimodal data science. Required Application Materials: 1. Brief cover letter describing research interests, relevant experience, research accomplishments, career goals, and fit with the position 2. Current CV 3. Contact information for three references 4. Up to three representative publications or preprints Required Qualifications: - A PhD, MD/PhD, or equivalent research doctoral degree in neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related field - Demonstrated expertise in one or more of the following areas: - Machine/deep learning, artificial intelligence, statistical modeling, or computational modeling - Human neuroimaging analysis, including functional MRI, structural MRI, connectivity, or brain circuit modeling - Computational psychiatry, clinical neuroscience, or developmental psychopathology - Analysis of large-scale multimodal datasets - Explainable AI, predictive modeling, stratification, or biomarker development - Programming in Python, R, MATLAB, or related scientific computing environments - Reproducible research practices, including version control, high-performance computing, and open science workflows - Strong quantitative skills as well as excellent written and oral communication abilities. - A strong record of scholarly productivity - The ability to work both independently and collaboratively within a multidisciplinary research team - Prior experience with autism, psychosis, schizophrenia-spectrum disorders, developmental psychopathology, or neurobiological datasets is desirable but not required Required Application Materials: - Brief cover letter describing research interests, relevant experience, research accomplishments, career goals, and fit with the position - Current CV - Contact information for three references - Up to three representative publications or preprints Please email application materials as a single PDF to supekarlab(a)stanford.edu with the subject line: Postdoctoral Scholar. For additional information about the position, please contact Dr. Supekar at the same email address. Applications will be reviewed on a rolling basis until the position is filled. The anticipated start date is flexible. Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.

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Applications Open: SWC Systems Neuroscience PhD Programme in London
by Alison Cranage Sept. 30, 2026

Sept. 30, 2026

Applications are now open for the 2027 intake of the Sainsbury Wellcome Centre (SWC) PhD programme at University College London (UCL). This fully funded 4-year programme offers students: * a comprehensive introduction to systems neuroscience * intensive training in experimental techniques, including imaging, physiology, molecular, and behavioural methods in systems neuroscience * a supportive and collaborative environment with teaching by SWC faculty together with colleagues at the Gatsby Computational Neuroscience Unit<https://us.list-manage.com/eWNB4k2A2Zf?e=75b876a41a&c2id=4030ee29f9d93eb026…> and other affiliated institutions<https://us.list-manage.com/yHbuDdem5UC?e=75b876a41a&c2id=4030ee29f9d93eb026…>. SWC students are fully funded and receive an annual stipend of £30,839 (tax-free), as well as funds to attend international courses or meetings. We also cover the cost of tuition fees for both home and international students. Application deadline: 9 November 2026. More information on the SWC PhD programme and details on how to apply can be found on the SWC website<https://us.list-manage.com/zT0hm17flUD?e=75b876a41a&c2id=4030ee29f9d93eb026…>. If you have any queries about the SWC PhD programme or the application process, please contact us: SWC-PhDprogramme(a)ucl.ac.uk<mailto:SWC-PhDprogramme@ucl.ac.uk> Many thanks, Ali ALISON CRANAGE Research Communications and Engagement Manager Sainsbury Wellcome Centre 25 Howland Street  London  W1T 4JG   Email     a.cranage(a)ucl.ac.uk<mailto:a.cashin-garbutt@ucl.ac.uk>  Phone   +44 (0) 7917 922 068   Bluesky<https://bsky.app/profile/sainsburywellcome.bsky.social> | LinkedIn<https://www.linkedin.com/company/sainsbury-wellcome-centre> | Facebook<https://www.facebook.com/SainsburyWellcomeCentre/> | Instagram<https://www.instagram.com/sainsburywellcomecentre/> | sainsburywellcome.org<https://www.sainsburywellcome.org/>

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Symposium on Neuroscience and Artificial Intelligence, 19–20 October 2026 Kaunas, Lithuania
by DEPANNEMAECKER Damien Sept. 30, 2026

Sept. 30, 2026

Dear colleagues, We are pleased to announce the 11th EBRAINS Baltic-Nordic School and Symposium on Neuroscience and Artificial Intelligence, taking place on 19–20 October 2026 at the Lithuanian University of Health Sciences in Kaunas, Lithuania. This year’s programme focuses on AI, Digital Brain Twins, and Neurotechnology in neurology, neurosurgery, psychiatry, and neurorehabilitation, including hands-on sessions on The Virtual Brain and AI foundation models, scientific talks, and discussions on neuroethics. Programme and Registration: https://reg.eventas.lt/EBN2026 We would be very happy to welcome you in Kaunas! Best regards, Damien Depannemaecker <https://reg.eventas.lt/EBN2026>

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Forecasting responsiveness under propofol - ICASSP 2027 Grand Challenge
by Katja Sept. 29, 2026

Sept. 29, 2026

Dear colleagues, We would like to invite participation in the DOSE-I Challenge, an ICASSP 2027 Signal Processing Grand Challenge on forecasting changes in responsiveness during propofol sedation from frontal EEG. Participants predict future MOAA/S approximately 60 s ahead from pre-index physiological data. The challenge is based on the recently released DOSE-I dataset, the first public large-scale EEG-based multimodal dataset of continuous propofol sedation with temporally dense annotation of sedation depth. Challenge / submissions: https://www.codabench.org/competitions/18100/ Open DOSE-I dataset: https://doi.org/10.5281/zenodo.18483291 == Timeline == • Challenge opens: October 1, 2026 • Final submission deadline: December 1, 2026 • Results and invitations: December 8, 2026 • Invited two-page papers due: January 7, 2027 • ICASSP 2027: May 16-21, 2027, Toronto, Canada Best wishes, K. Seeliger on behalf of the DOSE-I Challenge organizers +++++ academic website: https://seelikat.github.io/

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Computational Postdoctoral Position: Uncovering the Mathematics of Predictive Pursuit
by jonathan.whitlock＠ntnu.no Sept. 28, 2026

Sept. 28, 2026

About the position We are seeking an enthusiastic and highly motivated Postdoctoral Fellow with a quantitative PhD and background in machine learning, dynamical systems, physics, engineering or related fields for a 3-4 year project investigating the computational principles of Predictive Pursuit in freely moving rodents. This project is an interdisciplinary collaboration between the labs of Jonathan Whitlock at the Kali Institute for Systems Neuroscience (NTNU, Trondheim, Norway and Alex Cayco-Gajic at the Group of Neural Theory in Ecole Normale Supérieure (ENS-PSL, Paris, France). The candidate will be physically based in Trondheim, with extensive opportunities for research visits to Paris. About the project The project aims to uncover how the brain anticipates and reacts to dynamically fleeing agents and to perceptual mismatch. We will use the head and body of freely moving rodents as physical readouts of internal planning, dynamic decision-making and perceptual processing, combining high-resolution motion capture and high-density neural recordings across a range of behavioral conditions. The successful candidate will lead the data-driven modeling effort, developing state-of-the-art statistical models combining machine learning and dynamical systems to infer changes in strategy from high-dimensional behavioral data. The project is highly collaborative, with modeling developed in partnership with the lab of Alex Cayco-Gajic in Paris, while working closely with behavioral neurophysiologists at the Kavli Institute in Trondheim. Duties of the position • Develop machine-learning and dynamical-systems approaches for analyzing high-dimensional behavioral data. • Model postural, movement and performance dynamics to identify behavioral states and pursuit strategies. • Carry out high-quality, independent research within the project framework. • Publish findings in high-impact academic journals and present at international conferences. • Participate actively in collaborations and in the intellectual life of the research group and Required selection criteria • A PhD in a quantitative field, such as physics, computational neuroscience, computer science, or engineering • Strong expertise in machine learning, dynamical systems, computational modeling or quantitative analysis • Demonstrated experience analyzing large, high-dimensional datasets, preferably including behavioral, video or neurophysiological • Publish findings in high-impact academic journals and present at international conferences. • Participate actively in collaborations and in the intellectual life of the research group and institute. • Documented experience with scientific programming, e.g. Python, MATLAB or related languages. • A strong academic record and documented research productivity. • Excellent oral and written communication skills in English. • Ability to work both independently and collaboratively in an interdisciplinary research environment. Interested? Apply through the job ad portal: nettskjema.no/a/655482 Questions? Jonathan Whitlock: jonathan.whitlock(a)ntnu.no | Alex Cayco-Gajic: natasha.cayco.gajic(a)ens.psl.eu Labs: www.whitlocklab.org | www.caycogajiclab.github.io

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2nd UK Theoretical Neuroscience Workshop – 18 December 2026, London
by Dimitris Pinotsis Sept. 28, 2026

Sept. 28, 2026

We are pleased to announce the *second UK Theoretical Neuroscience Workshop*, taking place at *City St George’s, University of London*, on *Friday, 18 December 2026*. The workshop will bring together researchers and students working in theoretical, mathematical, and computational neuroscience for a day of invited *talks, poster presentations,* and *discussion*. 📍 *Venue:* City St George’s, University of London 📅 *Date:* Friday, 18 December 2026 🕘 *Time:* 09:00–17:30 💡 *Programme:* Invited talks, poster sessions, discussions, and a *poster award* Invited speakers include researchers from UCL, Oxford, Warwick, Nottingham, Birmingham, and Edinburgh, covering topics across neural dynamics, learning, network modelling, motor control, functional connectomics, temporal inference, and related areas. Further information, including the programme and abstracts, is available Here <https://dpinotsis.wixsite.com/uk-theoretical-neuro> Please feel free to circulate this announcement among interested colleagues and students. Best wishes, UK Theoretical Neuroscience Workshop Organisers Professor Steve Coombes Dr Dimitrios Pinotsis

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Open PhD and postdoc positions in computational neuroscience/neuroAI
by Roxana Zeraati Sept. 26, 2026

Sept. 26, 2026

Dear all, We are inviting applications for the following collaborative PhD and postdoc positions in computational neuroscience/neuroAI: - PhD (based at TU Dresden, Germany): https://nextcloud.tuebingen.mpg.de/index.php/s/wbpcYQ5pgMjDJos - Postdoc (based at the Max Planck Institute for Biological Cybernetics, Germany): https://nextcloud.tuebingen.mpg.de/index.php/s/wjKjAHRidF5R4M8 We, the Natural Decision Making Group and the Embodied Decision Making Group, are joining forces within the CMC Unit <http://cmclab.org/> to uncover the computational, biological, and ecological principles underlying adaptive decision-making. We combine computational methods from reinforcement learning, dynamical systems, and AI with analyses of neural and behavioral data to investigate how different species adapt their decisions to the dynamics of their natural environments, while accommodating their embodied constraints. We would appreciate it if you could share these calls with anyone who might be interested in your network. Best wishes, Roxana and Shervin

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postdoc or staff scientist
by Canavier, Carmen C. Sept. 25, 2026

Sept. 25, 2026

Carmen Canavier at LSU Health Sciences Center in New Orleans is recruiting a computational neuroscientist(s) at the postdoctoral or staff scientist level. One project involves modeling the local circuit in the medial entorhinal cortex with respect to theta nested gamma and grid cell activity and the other involves modeling the local circuit in hippocampal area CA1 with respect to cholinergic modulation and place field formation. Please email me at ccanav(a)lsuhsc.edu<mailto:ccanav@lsuhsc.edu> for details.

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Postdoctoral position: Computational neuroscience, nonlinear dynamics, and control (University of Arizona)
by drew＠arizona.edu Sept. 24, 2026

Sept. 24, 2026

The Maurer laboratory in the Department of Neuroscience at the University of Arizona is recruiting a postdoctoral researcher interested in theoretical and computational approaches to neural dynamics. A central question is how inhibitory circuitry reshapes the states and transitions available to a recurrent neural network: not simply by reducing excitation, but by dynamically restricting, routing, and stabilizing trajectories through neural state space. We are particularly interested in whether relatively low-dimensional inhibitory or feedback signals can reorganize high-dimensional population activity, alter attractor structure and metastability, regulate transitions among network states, and stabilize circuits that would otherwise be unstable or chaotic. The position sits deliberately between theory and experiment. The researcher will have access to large-scale electrophysiological datasets including neuronal spiking, LFP, EEG, behavior, and circuit perturbations. The goal is to develop mechanistic models that generate discriminating predictions and can be tested against experimental interventions, rather than simply fitting models to neural data. We welcome applicants from computational neuroscience as well as control theory, nonlinear dynamical systems, applied mathematics, engineering, physics, computer science, and related quantitative fields. Prior neuroscience experience is not required. The position is full-time at the University of Arizona in Tucson, with salary according to NIH guidelines and full benefits. Applications are open until the position is filled. University of Arizona posting: req27102 Application materials: CV, cover letter, and statement of research interest. For informal questions, please contact: Andrew P. Maurer, PhD Associate Professor, Neuroscience University of Arizona drew(a)arizona.edu

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Upcoming Open Lab Online seminars and workshops
by Nada El Mahmoudi Sept. 24, 2026

Sept. 24, 2026

Dear all, We are happy to share several upcoming Open Lab Online events on open tools, training, and methods in neuroscience and behavior. Open Lab Online is an international initiative that organizes accessible online seminars and workshops around open-source tools, experimental methods, and training across neuroscience and behavior. Animal Training Methods Across Species From Experimental Design to Naturalistic Behavior This seminar series will explore how animals are trained to interact with experimental tasks, touchscreens, vehicles, virtual environments, and naturalistic paradigms. First confirmed speakers include Kelly Lambert, Jennifer Taylor-O’Connor, Rainer Friedrich, Matthew Isaacson, and Marieke Schölvinck & Martha Nari Havenith, with additional seminars to be announced. Dates: 14 October, 4 November, 25 November, 20 January, 10 February Time: 16:00 CEST / 10:00 EDT for 14 October; 16:00 CET / 10:00 EST from November Full program and registration: https://nenckiopenlab.org/animal-training-methods-across-species/ Neural Data Analysis with Open-Source Tools From Raw Signals to Behavior-Linked Activity This hands-on workshop series will introduce an open-source workflow for neural data analysis, taught directly by the developers of the tools. The series will cover: SpikeInterface → Bombcell → Pynapple → NeMoS Part 1: Spike Sorting and Curation 19–20 October, 15:00–18:00 CEST / 09:00–12:00 EDT each day Modules: SpikeInterface + Bombcell Part 2: Behavior-Linked Analysis and Modeling 26–27 October, 14:00–15:30 CET / 09:00–10:30 EDT each day Modules: Pynapple + NeMoS Full program and registration: https://nenckiopenlab.org/neuraldata/ Bonsai Module I Workshops We will also host two Bonsai Module I workshops for participants interested in behavioral experiments, video tracking, closed-loop systems, and real-time data acquisition. 29 September, 16:00 CEST / 10:00 EDT https://nenckiopenlab.org/event/2200/ 13 October, 16:00 CEST / 10:00 EDT https://nenckiopenlab.org/event/bonsai-module-i-2/ Please feel free to share these events with anyone who may be interested. To receive future Open Lab Online announcements, you can subscribe to the mailing list here<https://5584ba20.sibforms.com/serve/MUIFADA4d4FHqdFYLj0P-heCkOQ5zMtIUiggjmg…>. You can also join the Open Lab Online Discord here<https://discord.gg/z7gvyj9yrV>. Best wishes, The Open Lab Online Team Dr. Nada El Mahmoudi Post-doctoral researcher, Peyrache lab The Neuro (Montreal Neurological Institute) McGill University, Canada

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Announcement: daftar 1.0 — recording what produced each computational result
by Aslan Satary Dizaji Sept. 24, 2026

Sept. 24, 2026

Dear all, I would like to share an open-source tool that may be useful to people running simulations and model fits. The problem. Experiment trackers such as MLflow and Weights & Biases assume an experiment is a training loop with epochs, losses and checkpoints. A Hodgkin–Huxley simulation, a hierarchical fit across participants, or an EEG preprocessing pipeline has none of those. Months later it is often impossible to say which code version, environment and seed produced a given figure. What it does. One decorator or context manager around existing code records the environment, git state, every parameter, every seed, and content hashes of inputs into a plain-JSON manifest. daftar diff then compares two runs and separates fields that could have caused a difference from fields that merely record one — including the case where results differ and nothing that could have caused it does, which is a finding rather than a glitch. Seeds are applied rather than merely recorded, since noting that a run was irreproducible does not help anyone. Ten adapters record framework-specific state a generic tracker cannot infer: the integration method Brian2 auto-selected (it is stored nowhere), which ICA components were excluded in MNE, which confounds were regressed out in Nilearn, whether a NEURON compiled mechanism is stale relative to its .mod sources. No dependencies, no server, no account, no network access. Apache 2.0. Currently in peer review at pyOpenSci. pip install daftar https://github.com/aslansd/daftar One thing that emerged from building it, which may interest this list: four independent frameworks (MNE, cpm, Brian2, sbi) all report only one of the two reasons an optimiser stops. A fit that hit its iteration limit is indistinguishable from one that converged. I would welcome criticism, particularly from anyone who has previously tried a reproducibility tool and stopped using it. Aslan Satary Dizaji https://turan-cybernetics.com/ https://sites.google.com/a/umich.edu/aslansdizaji

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30 RTAIM Online Seminar - "Assessing the Ethical Risks of AI-Based Tools for Causal Inference from Real-World Evidence (RWE) in Medicines Evaluation"
by steven gouveia Sept. 23, 2026

Sept. 23, 2026

[??] 30 RTAIM Online Seminar [??] 24 September | 14:00 (Porto) [??] Online via Microsoft Teams Tamas Soroncz-Szabo Physician, epidemiologist, visiting lecturer in clinical research methods, and medical project expert for the European Health and Digital Executive Agency (HaDEA). [???] Assessing the Ethical Risks of AI-Based Tools for Causal Inference from Real-World Evidence (RWE) in Medicines Evaluation The talk will examine how AI is increasingly used to analyse real-world health data for medicines evaluation — and the ethical and regulatory risks that arise when AI-supported conclusions can influence efficacy, patient safety, and healthcare decisions. [??] Join: https://teams.microsoft.com/meet/389914877372834...<https://teams.microsoft.com/meet/389914877372834?p=2VyrR9YvPfgVE9glG6&fbcli…> Meeting ID: 389 914 877 372 834 Passcode: Vn95Mb6h More info: https://ifilosofia.up.pt/activities/seminar-30-rtaim

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New PhD & Postdoc Opportunities in Computational Neuroscience & Computational Psychiatry
by Nadja R. Ging Jehli Sept. 23, 2026

Sept. 23, 2026

Dear colleagues, We are building a new computational modeling hub at the University of Arizona - join us and grow with us! Ari Kahn and I are joining forces to build a closely connected computational community across two complementary labs at the intersection of decision science, cognitive neuroscience, and computational psychiatry. Together, the Kahn Lab and the NAIADEL Lab are recruiting multiple PhD students for Fall 2027 as well as postdoctoral researchers. Our groups tackle some shared questions from complementary angles: The Kahn Lab studies how people build predictive models of complex environments, use them to plan, and select among planning strategies. This work draws on reinforcement learning, successor representations, network science, control theory, and neuroimaging. Learn more here: www.kahnlab.org<https://www.linkedin.com/safety/go/?url=http%3A%2F%2Fwww%2Ekahnlab%2Eorg&ur…> The NAIADEL Lab studies how humans and artificial agents infer whether their actions matter, adapt when control shifts, and decide whether to persist, switch, or disengage after setbacks. This work draws on reinforcement learning, sequential sampling models, neural networks, and economic theory. Learn more here: www.naiadel.com<https://www.linkedin.com/safety/go/?url=http%3A%2F%2Fwww%2Enaiadel%2Ecom&ur…> Where we converge: We are especially excited about the intersection of meta-learning and meta-control. How do adaptive agents, biological or artificial, select among strategies? How do they recognize when a strategy is failing? And how do they revise their internal models under uncertainty and partial control? Trainees will be based primarily in one lab while benefiting from joint research meetings, shared computational infrastructure, and opportunities for cross-lab collaboration and co-mentorship. How to get involved: Prospective PhD students: Drop us a line with your CV and research interests. The Fall 2027 Psychology PhD application window opens October 15: Ph.D. Cognition and Neural Systems | Psychology<https://psychology.arizona.edu/cns> Postdoctoral candidates and other inquiries: Reach out directly with your CV and a brief statement of your research interests. arikahn(a)arizona.edu<mailto:arikahn@arizona.edu> nadjaging(a)arizona.edu<mailto:nadjaging@arizona.edu> We are very grateful for anyone who shares this within their broader network. Best, Nadja Nadja R. Ging-Jehli, PhD Assistant Professor Neurocomputation, Adaptive Intelligence, Agency Dynamics, & Embodied Learning (NAIADEL Lab) | www.naiadel.com<http://www.naiadel.com/> Cognition and Neuroscience Systems, Department of Psychology University of Arizona (614) 736-7755 | nadjaging(a)arizona.edu<mailto:nadjaging@arizona.edu> | nadja(a)gingjehli.com<mailto:nadja@gingjehli.com> | gingjehli.com<https://www.gingjehli.com/> [A button with "Hear my name" text for name playback in email signature]<https://www.name-coach.com/nadja-gingjehli>

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Call for Papers: ACML 2026 (Encore Track)
by Levin Kuhlmann Sept. 22, 2026

Sept. 22, 2026

ACML 2026 (the 18th Asian Conference on Machine Learning) is being held in Melbourne Australia on 1–4 December, just before NeurIPS in Sydney. The main conference, journal and workshop tracks have closed, but the Encore Track is still accepting submissions. It's a way to present work you've already had published or accepted at a leading venue (including NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, AAAI, JMLR, IEEE TPAMI) since 1 June 2025, through an encore talk in a topic-aligned session. Submission is lightweight: title, abstract, author details, PDF and publication URL (or evidence of acceptance if not yet published). Deadline: 18 October 2026, 11:59 PM AoE For more details visit https://www.acml-conf.org/2026/calls/papers/#encore-track If you have any questions, please contact Levin Kuhlmann ( levin.kuhlmann(a)monash.edu) Kind regards, Levin Kuhlmann Encore Track Chair, ACML 2026

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NeuroData AI Summer School: applications open for July 2027 at HHMI-Janelia
by Ben Dichter Sept. 22, 2026

Sept. 22, 2026

Applications are open for the NeuroData AI Summer School, a one-week residential program on reanalyzing open neurophysiology data, July 19 to 24, 2027 at HHMI's Janelia Research Campus in Ashburn, Virginia (arrive July 18, depart July 24 or 25). The school continues NeuroDataReHack, which ran five times from 2022 to 2026, and is now supported by a five-year NINDS R25 award. Participants learn to find, stream, and analyze NWB datasets on the DANDI Archive with tools such as SpikeInterface, Pynapple, NeMoS and Neurosift, and spend most of the week in small teams on a reanalysis project of their own. New this year is a track on AI methods for neural data, from foundation models to working effectively and responsibly with coding agents. Lectures are given by the people who build the tools, and every lecture is recorded and published. The school is free to attend. Lodging and meals are covered, and funding for travel is available. We welcome PhD students, postdocs, and faculty from all areas of neuroscience with basic Python or MATLAB experience. Preference goes to applicants with a specific reanalysis project in mind. Applications close January 29, 2027 and are reviewed on a rolling basis: https://neurodata-ai.org/apply <https://neurodata-ai.org/apply/?utm_source=SOURCE&utm_medium=email&utm_camp…> Past projects, recorded lectures, and reports from previous years: https://neurodata-ai.org <https://neurodata-ai.org/?utm_source=SOURCE&utm_medium=email&utm_campaign=a…> Questions: ben.dichter(a)catalystneuro.com Ben Dichter Program Director, NeuroData AI Summer School

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Call for applications: Gatsby Unit PhD Programme 2027 entry
by I-Chun Lin Sept. 22, 2026

Sept. 22, 2026

4-Year PhD Programme in Theoretical Neuroscience and Machine Learning Deadline: 17:00 GMT, Monday 9 November 2026 Applications are now open for the 2027 intake of the Gatsby Unit PhD programme at University College London (UCL). Students study toward a PhD in either machine learning or theoretical neuroscience, with minor emphasis in the complementary field. New students will join at the start of the academic year in September. First-year courses provide a solid foundation in machine learning, theoretical neuroscience and systems neuroscience, after which students pursue PhD projects specialising in machine learning, theoretical neuroscience, or both. Students benefit from close interaction with researchers at the Sainsbury Wellcome Centre for Neural Circuits and Behaviour and the ELLIS Unit at UCL, alongside strong links with other research groups across UCL and beyond. Full funding is available regardless of nationality. The studentship covers UCL tuition fees for both home and international students and includes an annual tax-free stipend as well as travel budget for attending conferences and workshops. We also welcome applicants who have secured, or are seeking, funding from other sources. The applicant should have a strong analytical and mathematical background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Applications should be submitted directly to us through the Gatsby Recruitment Portal. Please review the information on the programme webpage (www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gatsby-unit-phd-programme<http://www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gatsby-unit-phd-pr…>) carefully before starting your application. About the Unit The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. Our research focuses on the mathematical principles of learning, perception, cognition and action in brains and machines. We study causality; neural systems; neural representations; neural data analysis; computation and dynamics; learning; theory of deep learning; reinforcement learning; kernel methods; graphical models; Bayesian statistics; network and relational data. For more information on our research, visit www.ucl.ac.uk/life-sciences/gatsby/research<https://www.ucl.ac.uk/life-sciences/gatsby/research>. We are a community of around 50 academic, research and support staff, and students, committed to building an inclusive and supportive research environment. We function as far as possible as a single research group, with strong cohesion fostered via unit-wide activities such as tea hours, external seminars and journal clubs. Many leading researchers in machine learning and theoretical neuroscience have studied or worked in the Unit, including two Nobel Prize winners. Over 40% of our PhD and postdoctoral alumni hold faculty positions, while around 30% work in research development roles at companies such as Google DeepMind (itself founded by two of our alumni), Meta and Anthropic. Find out more about our faculty members and network of alumni at www.ucl.ac.uk/life-sciences/gatsby/people<https://www.ucl.ac.uk/life-sciences/gatsby/people>. -- I-Chun Lin Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

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Patagonian School of Science: Application deadline extended to 25 September 2026
by Ines Samengo Sept. 21, 2026

Sept. 21, 2026

The deadline to apply for the Patagonian School of Science "Dynamics of Large-Scale Neural Systems" has been extended to September 25. The school will take place from December 8–19, 2026, at Brazo Huemul, on the northern shore of Lake Nahuel Huapi in Patagonia, Argentina. The school will bring together 20–25 PhD students and postdocs with international researchers to explore how large populations of neurons give rise to behaviour. The faculty includes Edvard Moser (2014 Nobel Laureate), Rafael Yuste, Susanne Schreiber, Carina Curto, Nachum Ulanovsky, Soledad Gonzalo Cogno, Christian Machens, Iván Davidovich, Valeria Della Maggiore, Emilio Kropff and Inés Samengo. The school will combine lectures, student presentations, workshops, discussions, and one-to-one interactions with faculty. It will take place in a remote setting with limited connectivity, creating an environment where participants can focus on scientific discussion and face-to-face interaction. Applications are open until September 25, 2026. The registration fee is USD 1,200 and includes accommodation and meals for the duration of the school. *Financial support may be available for students who do not have sufficient institutional funding.* Full information about the programme, faculty, and application process is available here: https://ib.edu.ar/patagonian_school_sciences2026/ Enquiries: psos(a)ib.edu.ar

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Call for Papers-ICICIP 2027, Vientiane and Luang Prabang, February 8-14, 2027 (Submission deadline: October 1, 2026)
by Nian Ashlee Zhang Sept. 20, 2026

Sept. 20, 2026

*Call for Papers* Conference website: https://conference.cs.cityu.edu.hk/icicip/ The 15th International Conference on Intelligent Control and Information Processing (ICICIP 2027) will be held in Vientiane and Luang Prabang (the present and former capitals of Laos), from February 8-14, 2027. The conference will take place at rich historical and cultural sites, including two on UNESCO's World Heritage List and Tentative List. Building on the successes of previous events, ICICIP 2027 aims to provide a high-level international forum for scientists, engineers, and educators to present state-of-the-art research and applications across related fields. The conference will feature pre-conference, tutorials, plenary speeches given by world-renowned scholars, regular sessions with broad coverage, special sessions focusing on popular topics, and post-conference tutorials/workshops in conjunction with the main event. Authors are invited to contribute high-quality papers to ICICIP 2027. In addition, proposals for special sessions within the conference's technical scope are solicited. Special sessions, organized by internationally recognized experts, aim to bring together researchers on focused topics. Papers submitted for special sessions are to be peer-reviewed using the same criteria as for contributed papers. Researchers interested in organizing special sessions are invited to submit brief proposals to the ICICIP 2027 special sessions chairs. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers. Authors are invited to submit full-length papers (the nominal number of pages is 10) by the submission deadline through the online submission system. Special session organizers are also invited to enlist six or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere, and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have the opportunity to revise their papers and incorporate the referees' comments and suggestions. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements. Selected high-quality papers may be included in several journal special issues. The paper submission system is now open. Submission link: https://openreview.net/group?id=IEEE.org/ICICIP/2027/Conference *Submission deadline: October 1, 2026*

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Postdoctoral Scholar Neuroimaging
by Ayan Sengupta Sept. 18, 2026

Sept. 18, 2026

*WE ARE HIRING!* The University of Nevada, Las Vegas invites applications for Postdoctoral Scholar in Neuroimaging. Please apply here <https://nshe.wd1.myworkdayjobs.com/en-US/UNLV-external/job/UNLV1-Main-Campu…> . ------------------------------------------------- Ayan Sengupta, Ph.D. Assistant Professor, University of Nevada, Las Vegas

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SNUFA 2026 abstract submission deadline in one week (Sept 25)
by Friedemann Zenke Sept. 18, 2026

Sept. 18, 2026

This is a quick reminder that the abstract submission deadline for SNUFA 2026 is one week away: September 25, 2026 (anywhere on earth). SNUFA 2026 takes place 4-5 November 2026 (online), with invited talks from Giulia D'Angelo (Czech Technical University in Prague), Eugene Izhikevich (Brain Corp and DeepSpike), Mihai Petrovici (University of Bern), and Susanne Schreiber (Humboldt University). If you're planning to submit an abstract on spiking neural networks, learning algorithms, or the analysis of trained spiking circuits, now's the time-submission and registration are open at https://snufa.net/2026. Looking forward to your submissions! SNUFA 2026 is brought to you by Sacha van Albada, Jason Eshraghian, Dan Goodman, and Friedemann Zenke

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2027 NICE Conference in Brighton, UK April 6-8 2027
by Aimone, Brad Sept. 17, 2026

Sept. 17, 2026

NICE 2027 will be held 6th - 9th April in Brighton, United Kingdom. The 2027 Neuro-Inspired Computing Elements (NICE) Conference is the 14th annual meeting of researchers in the neural computing, neuromorphic, and NeuroAI fields. Like previous editions, NICE 2027 will focus on the interplay between neural theory, neural algorithms, neuromorphic architectures and hardware, and applications for neural computing technology. NICE aims to involve diverse participation from all over the world and bring together research communities with universities, government, and industry. For venue details, agenda information and registration please see https://niceworkshop.org/nice-2027/ Submission Guidelines Regular papers (4-8 pages, not including references, no supplemental material) will be due 11th November via https://easychair.org/cfp/nice2027. Papers will be reviewed by the program committee on the basis of quality and clarity of the work (not length). Papers should cover unpublished work and emphasize the novel aspects and potential impact on the neural computing community. From these submissions we will invite several full talks (25 minutes), lightning talks (10 minutes), with the option to be published as an online proceedings volume (details below). An additional set of submissions will be invited for poster presentations, but may not be included in the proceedings. The 2027 NICE proceedings will be published and indexed through IEEE Conference Proceedings this year. Important Dates * Regular Paper Due Date: 11th November 2026, Anywhere on Earth (AoE) * Regular Paper/ Abstracts Decision Notification: 20th December 2026 * Late Breaking News Abstracts Due: 1st February 2027, AoE * Late Breaking News Abstracts Decision Notification: 16th February 2027 * Camera Ready Papers Due: 9th March 2027 AoE * Conference (Talks): 6th - 8th April 2027 * Conference (Tutorials): 9th April 2027 List of Topics A full list of topics is in the Call for Papers (https://easychair.org/cfp/nice2027) NICE focus areas span the whole field of neuromorphic computing and theoretical neuroscience, including algorithm development, neurally inspired frameworks, hardware architectures, sensing technologies, software frameworks, and applications. During submission, please indicate which of the following topics your paper impacts.

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PhD position in computational neuroscience at University of South Carolina
by Z S Sept. 16, 2026

Sept. 16, 2026

Dear all, Dr. Sha’s lab (https://shazhiqiang.wixsite.com/sha-lab) at the University of South Carolina is seeking *PhD students in computational neuroscience *in the Department of Psychology. Our lab is affiliated with the Carolina Autism & Neurodevelopment Center, the Institute for Mind & Brain, and working closely with the McCausland Center for Brain Imaging in Columbia, center of SC Metropolitan Statistical Area. Our lab explores the mechanisms of atypical brain development and neurodevelopmental disorders (e.g., autism spectrum disorders) by leveraging computational modeling (e.g., deep learning models) to bridge neural circuitry, exposure (e.g., early life adversity) and psychopathological phenotypes, and treatment outcomes. These innovative projects will leverage state-of-the-art machine learning models and neuroimaging, supported by the brand-new Brain Imaging Center (with 3T and 7T MRI scanners) and the Biobehavioral Research Center at the University of South Carolina. This position provides an excellent opportunity for a self-motivated student to gain hands-on experience with neuroimaging (e.g., MRI) and biomedical research techniques. The candidate will have full access to rich in-house and public datasets, and advanced neuroimaging platforms. Our lab fosters a collaborative and productive environment, and we actively support PhD students in generating high-quality research publications, applying for fellowships and securing their future career paths. Key roles: · Data analysis; present results and publish papers under the PI’s supervision · Keep up-to-date on relevant studies and methods, and actively discuss them with the PI · Present your work at national and international conferences Requirements: · Bachelor’s or Master’s degree in a relevant field (e.g., computational neuroscience, math, data science, biostatistics, biomedical engineering) · Experience with neuroimaging MRI data analysis is preferred. · Candidates with coding experience are preferred. How to apply: Please submit your CV to Dr. Sha (zsha(a)mailbox.sc.edu)

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NITMB Fellowships Call for Applications
by William L. Kath Sept. 16, 2026

Sept. 16, 2026

*NITMB Fellowships Call for Applications* NITMB is seeking early-career researchers who have an interest in transforming biological research and inspiring new mathematical discoveries. This opportunity is open to researchers who want to develop mathematical, theoretical, and computational approaches to study any area of biology. This position is open to individuals less than seven years post-attainment of their Ph.D. degree. Applicants will need to have completed a doctoral degree by September 1, 2027 in one of the following fields: * Mathematical and Physical Sciences * Biological Sciences * Computer Science * Engineering * or related fields For full consideration, applications must be submitted by *November 15, 2026.* See here for more information: https://www.nitmb.org/nitmb-fellows-program/ Apply here: https://www.mathjobs.org/jobs/list/28792

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Postdoctoral positions in sensory coding and memory - University of Sheffield
by Andrew Lin Sept. 15, 2026

Sept. 15, 2026

Why are brains the way they are? Do neural circuits function in an “optimal” way, and if so, in what sense are they optimal? How does the brain encode sensory information and form associative memories? Andrew Lin’s lab at the University of Sheffield is seeking up to two Research Associates to study these questions in the fruit fly Drosophila. We study memory using a range of methods, such as in vivo two-photon calcium imaging, electrophysiology, fly genetics, behavioural experiments, computational modelling and building custom equipment. You will design, develop and perform experiments and data analysis (tailoring the project to your own interests and expertise), write papers, and present your work at conferences and seminars. We seek self-motivated, innovative and creative candidates with a PhD (or be close to completion / have equivalent postdoctoral level experience) in a relevant field, expertise in at least some of the above techniques, excellent communication skills, and an ability to work independently and in a team. We encourage applications from diverse academic backgrounds, such as biology, neuroscience, experimental psychology, computer science, physics and engineering. Closing date: 5 October 2026 Apply at this link: https://tinyurl.com/LinPostdoc2026 or https://jobsite.sheffield.ac.uk/job/Research-Associate-Neuroscience-%282-Po… More about the lab: https://www.aclinlab.org/ Start date is flexible - happy to discuss We welcome international applicants and the university will reimburse the post-holder for many visa expenses: https://www.sheffield.ac.uk/jobs/induction/before/international/visas For informal enquiries, contact Andrew: andrew.lin(a)sheffield.ac.uk -- Andrew Lin School of Biosciences University of Sheffield Firth Court Western Bank Sheffield S10 2TN +44 (0) 114 222 3643 http://www.aclinlab.org

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[DEALINE EXTENDED] Workshop on Whole-Brain Models and High-Order Interactions for Brain Health, Palma de Mallorca, Spain
by Rubén Herzog Sept. 15, 2026

Sept. 15, 2026

Dear colleagues, We are pleased to announce the Workshop on Whole-Brain Models and High-Order Interactions for Brain Health, which will take place at the University of the Balearic Islands (UIB), Palma de Mallorca, Spain, from 17 to 20 November 2026. EXTENDED Application deadline September 25th 2026 The workshop will bring together PhD students, postdoctoral researchers and early-career scientists interested in understanding how cognition, ageing and disease emerge from large-scale brain dynamics. Participants will be introduced to a range of theoretical and computational frameworks currently shaping systems neuroscience, including whole-brain modelling, machine learning, complex systems approaches and high-order information-theoretic methods. Through lectures, tutorials and interactive discussions, participants will learn how these tools can be used to bridge neural activity, cognition and brain health. Scientific topics include: • Whole-brain computational modelling • High-order interactions and multivariate information theory • Complex systems and network neuroscience • Machine learning in brain ageing and brain health • Neuroimaging and electrophysiology • Mechanistic approaches to cognition and disease A distinctive feature of the workshop is the close interaction between participants and faculty. Throughout the programme, attendees will work in interdisciplinary teams to develop original research proposals and receive direct feedback from internationally recognized researchers. The workshop is designed not only as a training opportunity but also as a platform for building future collaborations across disciplines and institutions. Further information, programme details and application instructions can be found at: https://rubenherzog.github.io/workshop-wbm-hoi-2026/ We would greatly appreciate your help in circulating this announcement among interested students, postdoctoral researchers and colleagues. Kind regards, Workshop Organizing Committee Workshop on Whole-Brain Models and High-Order Interactions for Brain Health University of the Balearic Islands (UIB)

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NeuroAI Assistant Professor Position at Carnegie Mellon University
by Aran Nayebi Sept. 14, 2026

Sept. 14, 2026

Dear colleagues, *TL;DR: CMU is hiring for an Assistant Professor in NeuroAI. Apply here: https://apply.interfolio.com/189268 <https://apply.interfolio.com/189268>* *Details below:* Carnegie Mellon University (CMU) invites applications for a tenure-track Assistant Professor in the Neuroscience Institute from scholars working broadly at the intersection of Neuroscience and Artificial Intelligence. We welcome a wide range of research programs, provided they maintain a substantive connection to neuroscience through data, theory, or modeling. Examples of relevant research topics include but are not restricted to: generative models of brain data, AI-based analysis tools for neural activity or connectivity, explainable AI grounded in cognitive/neuroscience principles, human-AI alignment, normative agentic models of animal behavior, mechanistic models of memory or learning in neural networks, descriptive models of invariant representations and dynamics, and embodiment in both natural and artificial systems. The successful candidate will join a vibrant, collaborative environment spanning multiple departments at CMU. Our NeuroAI group leverages CMU’s world-class research in machine learning and AI, robotics, cognitive and systems neuroscience, neurotechnology, data science, engineering, and biological sciences. Joint appointments and courtesy appointments across departments are common in the Neuroscience Institute, and may be an opportunity for some candidates. CMU has a well-established structure for interdisciplinary collaboration in this domain, including specialized programs in neural computation and machine learning, and neurorobotics. The NI also encourages collaboration with industry and commercialization of new ideas. Aspiring entrepreneurs can be supported by a variety of business resources at CMU such as the Swartz Center and new entrepreneurship initiatives. Candidate responsibilities include establishing a visible, externally funded research program; teaching and mentoring in NI; recruiting and supervising both masters and Ph.D. students; and contributing to curricular innovation, including emerging initiatives, such as a new masters program in neural technologies. Information about the Neuroscience Institute can be found at https://www.cmu.edu/ni/. For more information on CMU’s NeuroAI group, see CMU Builds on Its Strengths To Advance NeuroAI <https://www.cmu.edu/news/stories/archives/2026/august/cmu-builds-on-its-str…> *Qualifications* Qualifications include a Ph.D. or equivalent in neuroscience, machine learning, robotics, computer science, cognitive science/psychology, electrical engineering, or a related field; evidence of research excellence and potential for leadership; and a commitment to high-quality teaching and mentoring. *Application Instructions* Applicants should submit their materials via Interfolio. Required materials include a one-page cover letter describing fit to NI, CMU, and the collaborative Pittsburgh community in neuroscience, AI, and related disciplines; a research statement (three to four pages); a one- to two-page teaching statement; a curriculum vitae; and three letters of recommendation. Applicants may also submit an optional 1-page Personal and Service statement. Review of applications will begin immediately and all applications received by November 1st, 2026 will be given full consideration. The positions will be open until filled. The position will start July 1, 2027. Best, Aran -- Assistant Professor Machine Learning Department Neuroscience Institute (core faculty), Robotics Institute (by courtesy) Carnegie Mellon University https://cs.cmu.edu/~anayebi

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2 postdoc and 1 phD positions on computational mechanisms of human perception (Alex Hyafil & Chris Summerfield, Barcelona)
by Alexandre Hyafil Sept. 14, 2026

Sept. 14, 2026

The group of Alex Hyafil at the CRM Barcelona (https://ahyafil.github.io/) is looking for two postdoc researchers and a PhD student. One of the postdoc positions will be co-supervised by Chris Summerfield (Universitat Pompeu Fabra Barcelona / Oxford; https://humaninformationprocessing.com/) The selected candidate will investigate the computational operations underlying visual scene perception through a combination of simulation of artificial visual systems (conv nets, visual transformers) and human experiments. The position is for two years. The other postdoc researcher (2-year duration) and the PhD student (4-year) will work jointly on identifying canonical Bayesian operations at play in human visual and auditory perception. The project involves Bayesian modelling, artificial vision network simulations, behavioral and EEG experiments as well as intra-cranial EEG experiments (in collaboration with Benjamin Morillon, AMU Marseille). We will look for complementarity of the two profiles, notably in terms of quantitative and experimental backgrounds. The hired researchers will benefit from the stimulating environment of the Barcelona area in cognitive and computational neuroscience. Our groups form part of a larger interacting network of neuroscience labs in Barcelona ( http://www.barccsyn.org) Financial support is provided by the Spanish National Agency of Investigation (FPI fellowship for the PhD student). *APPLICATION:* Send a curriculum and motivation with a list of two contacts for recommendation letter at https://bit.ly/ChrisAlexPositions. Informal enquiries are welcome. *DEADLINE:* before October 31 for the PhD position; until position is filled for the postdoc positions. *STARTING DATE:* before July 2027 for the PhD position; flexible for the postdoc positions

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COSYNE 2027: Meeting announcement, Abstract submission is now open
by Tomas Hromadka Sept. 11, 2026

Sept. 11, 2026

==================================================== Computational and Systems Neuroscience 2027 (Cosyne) MAIN MEETING & WORKSHOPS 11 - 16 March 2027 Montreal, Canada www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. All abstract submissions will be reviewed double blind. The deadline for Abstract submission is 18 October 2026. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. IMPORTANT DATES Abstract submission is now open. Abstract submission deadline: 18 October 2026 When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. COSYNE INVITED SPEAKERS Dani Bassett (UPenn) Chand Chandrasekaran (Boston U) Christine Constantinople (NYU) Paul Cisek (U Montreal) Kevin Franks (Duke) Leslie P Kaelbling (MIT) Andy Leifer (Princeton) Scott Linderman (Stanford) Amy Orsborne (U Washington) Cengiz Pehlevan Kempner (Harvard) Kanaka Rajan (Harvard; Kempner Inst) Rebecca Saxe (MIT) Carsen Stringer (Janelia) ORGANIZING COMMITTEE General Chairs: Kimberly Stachenfeld (DeepMind) and Mark Histed (NIH) Program Chairs: Annegret Falkner (Princeton) and Guillaume Lajoie (MILA/U Montreal) Workshop Chairs: N Alex Cayco Gajic (ENS) and Marcelo Mattar (NYU) Tutorial Chairs: Eva Dyer (Georgia Tech) and Alex Williams (NYU) Mentorship and Networking Chairs: Renata Brito (Mount Sinai) and Srikanth Ramaswamy (Newcastle U) Undergraduate Travel Chairs: Lea Duncker (Columbia) and Kevin Miller (DeepMind) Development Chair: Michael Long (NYU) Media Chairs: Roxana Zeraati (MPI Biol Cybernetics) and Claire Sturgill (TU Dresden) Poster Design: Maja Bialon EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details.

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NeuralNet 2026, Nov 25th-27th, Paris – Registration and Abstract Submission Now Open
by Arthur Leblois Sept. 11, 2026

Sept. 11, 2026

image.jpeg Dear colleagues, We are pleased to announce the opening of registrations for NeuralNet2026Paris (Nov. 25th-27th, Odéon Campus of Université Paris Cité, 75006 Paris, France) The program will explore four broad themes — Neural Codes & Representations, Perception in Context, Learning, Memory & Adaptation, and Brain States & Network Dynamics— bringing together leading researchers working across systems and computational neuroscience. We also encourage the submission of contributed talks and posters. Participants are invited to join the famous spike sorting mini-schoolbefore the conference (23-25 November). The mini-school is free of charge but registration is required. Info and registration on: https://neuralnet2026.sciencesconf.org/ We look forward to receiving your contributions and to welcoming you to Paris in November for three days of exciting science, discussion, and networking with the Systems and Computational Neuroscience community. Best regards, The NeuralNet 2026 Organizing Committee image.png

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Subject: Postdoc Position: Predicting Epilepsy from iEEG (University of Göttingen)
by Tristan Manfred Stöber Sept. 11, 2026

Sept. 11, 2026

Postdoctoral Position: Predicting epilepsy before it starts - Foundation models and bioplausible circuits on human intracranial EEG. QUICK FACTS - Salary: TV-L E13, 100% (€5,366-5,873/month) - Benefits: annual bonus, additional VBL pension - Duration: 12 months, extension intended - Start: as soon as you can, the data are ready - Place: CIDAS, Göttingen, Germany - Deadline: Applications rolling, first review 24 Sep 2026 In the group of Tristan Manfred Stöber at the Campus Institute Data Science (CIDAS), University of Göttingen. The project is conducted in close collaboration with our clinical and modelling partners in Frankfurt, specifically working directly with Michael Strüber from the Epilepsy Center Frankfurt and Richard Gao from Goethe University Frankfurt. WHAT IS THE POSITION ABOUT? Epilepsy care is reactive: we treat after the first seizure. But the disease starts earlier, after a head injury the brain reorganises for months to years, a window in which it could still be steered, and nobody can tell who is inside it. We have a unique way in. Roughly a quarter of patients with acute subdural hematoma develop post-traumatic epilepsy, and they are monitored with subdural electrodes within days of the injury, long before any seizure. Our Frankfurt partners hold those recordings with confirmed outcomes, plus a rodent dataset spanning the full course of epileptogenesis in over 85 animals. Two steps follow. TWO MODELS, ONE SET OF ACUTE RECORDINGS: WHO IS AT RISK, AND WHY. 1. Predict. Fine-tune an existing intracranial-EEG foundation model on the acute recordings, by self-supervised and contrastive learning, and test whether it separates patients who later develop epilepsy from those who stay resilient. There is a starting point: in our rodent model the aperiodic (1/f) exponent, a proxy for excitation/inhibition balance, tracks early epileptogenesis and predicts which animals become epileptic. Whether it transfers to humans is open, your first question. 2. Model. Then ask why. With AutoMIND, the deep inverse modelling framework of our partner Richard Gao (Goethe University Frankfurt), infer patient-specific parameters of a bioplausible cortical circuit from the same recordings, synaptic balance, adaptation timescales, conductances, turning a risk flag into a mechanism. A PILOT, AND WHY AGILITY IS THE POINT Twelve months will not solve post-traumatic epilepsy, and this position does not pretend to: it is a pilot, find out fast whether the rodent signal has a human counterpart. Nothing here waits on data collection or a method still to be invented, so agility is the operative skill: short cycles, a first result in weeks, a direction dropped once it stops paying off. It is one step in a bigger effort with our Frankfurt partners, the corresponding consortium proposal is under review, aiming eventually at a clinical means of preventing epilepsy instead of managing it. WHO ARE WE LOOKING FOR? - A PhD, or close to completion, in computer science, physics, mathematics, computational neuroscience, biomedical engineering or a related quantitative field. - Fluent programming and a solid command of modern deep learning on time series, self-supervised pretraining, transfer to small labelled sets. - Experience with neural recordings (EEG, iEEG, LFP) is a strong plus, as is simulation-based inference or circuit modelling for step 2. - The discipline clinical data demands: careful validation, no leakage across patients, precision about what you have actually checked. Nobody arrives with all of it. What matters more is the mindset: chasing the question rather than the result, and taking problems apart instead of waiting to be unblocked. Applications from any gender, country and walk of life welcome. WHAT DO WE OFFER? - A question with a clear clinical stake, and the data to attack it now. - Two collaborators you work with directly, both based in Frankfurt: Michael Strüber (Epilepsy Center Frankfurt) clinically, and Richard Gao (Goethe University Frankfurt) on modelling. - Close mentorship, and room to shape the project as it moves. - GWDG's Secure HPC environment for GDPR-relevant clinical data, already in place, plus budget for conferences and open-access publication. - A path beyond the 12 months: extension is intended. WHERE YOU WOULD BE CIDAS at University of Göttingen is a young place and it shows: it gathers machine learning, statistics and data science from across the campus into one institute, and much of it is run by early-career PIs building their groups right now, short paths, few hierarchies, a lot of momentum. Students, postdocs and professors also do things together outside the seminar room; the yearly road-bike tour up the Brocken is the one to train for. And Göttingen's scientific density is out of all proportion to its size, Gauss, Hilbert and Heisenberg worked here, several Max Planck Institutes next door. HOW TO APPLY One PDF motivation letter, CV, two referees to tristan.stoeber(a)posteo.net, subject "Postdoc - Epileptogenesis". Applications by 24 September 2026 receive full consideration; the position stays open until filled and we reply quickly. Unsure whether it is for you? Write to me before you apply. For more information about the group and our work, please visit our webpage at https://tristanstoeber.github.io.

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Postdoctoral and PhD Opportunities in Infant NeuroAI at Trinity College Dublin
by ainetdineen＠gmail.com Sept. 11, 2026

Sept. 11, 2026

Five Ways to Join the InfantNeuroAI Team! Infants are acquiring the brain representations that form the foundations of cognition. These representations are powerful: they let a child go on to master many tasks with remarkable speed. The InfantNeuroAI project aims to measure these developing representations, using awake infant neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project has three goals. To better understand infant cognition. To develop neuroimaging methods that can detect disrupted function after neonatal brain injury. And to identify new, more energy-efficient learning algorithms that could reduce the economic and environmental cost of AI. Everyone on the project is involved end to end: setting up the imaging, designing experiments, acquiring data, analysing it, building computational models, presenting the work and writing it up. You will do all of this with Professor Rhodri Cusack and an interdisciplinary team of neuroscientists, cognitive scientists, neuroimagers and AI engineers. Postdoctoral Fellow in Awake Infant OPM-MEG You will lead the establishment of awake infant OPM-MEG in the lab, using our CERCA system, and carry that work through to experiments, analysis, modelling and publication. You will need good coding skills and expertise in at least one of the following, with a willingness to develop the others: • Cognitive neuroscience • OPM-MEG, MEG or EEG • Computational modelling using deep neural networks Full time for two years from November 2026. Salary €47,273–55,399 per annum, with pension contribution, PRSI social insurance and annual leave. Selection will begin on 4 October, 2026. Further details and how to apply: https://cusacklab-web.s3.amazonaws.com/infantneuroai_2026_researchfellow2_o… Postdoctoral Fellow in Awake Infant fMRI and NeuroAI You will lead the establishment of awake infant fMRI on our Siemens 3T Prisma, and use the resulting data to test and develop deep-neural-network models of how infants learn. You will need good coding skills and expertise in at least one of the following, with a willingness to develop the others: • Infant cognitive neuroscience • Neuroimaging with fMRI • Computational modelling using deep neural networks Full time for two years from January 2027. Salary €47,273–55,399 per annum, with pension contribution, PRSI social insurance and annual leave. Closing date: 4 October, 2026. Further details and how to apply: https://cusacklab-web.s3.amazonaws.com/infantneuroai_2026_researchfellow1_f… Three PhD Scholarships in Awake Infant fMRI and NeuroAI These scholarships offer rich training in neuroimaging methods, developmental cognitive neuroscience and computational modelling with deep neural networks. Working with Professor Cusack and the wider team, you will take part in the full research cycle using awake infant fMRI and/or OPM-MEG. You will need a Bachelor's degree in psychology, cognitive science, computer science or a related field, good coding skills, and expertise or strong interest in: • Cognitive neuroscience • Neuroimaging • Infant development • Deep neural networks Full time for four years, starting March or September 2027. Stipend of €25,000 per annum, plus fees and conference travel. Closing date: 4 October, 2026. Further details and how to apply: https://cusacklab-web.s3.amazonaws.com/infantneuroai_2026_phds.pdf About the lab The Cusack Lab is housed in the Trinity College Institute of Neuroscience (TCIN), which brings together 60 groups and 250 scientists to study the brain from molecules to mind to society, and spans fundamental research to clinical translation. TCIN houses a Siemens 3T Prisma MRI scanner, a CERCA OPM-MEG system and an NVIDIA GPU cluster. We are a diverse team and welcome applications from people of all backgrounds, including those under-represented in neuroscience and AI. We support visa applications for international appointees. Informal enquiries to Tamrin Holloway: admin(a)cusacklab.org InfantNeuroAI is funded by ERC Advanced Grant 101265741 and the Research Ireland Frontiers for the Future Award 2022.

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Call For Papers - UniReps Workshop in Paris 🔵🔴
by Organizers Sept. 10, 2026

Sept. 10, 2026

Hi all, We’re excited to announce the Call for Papers <https://unireps.org/2026/call-for-papers> for the 4th edition of the UniReps Workshop, happening in Paris <https://unireps.org/2026/>! The workshop is tentatively planned for mid-December, with a target date between December 11 and December 15, 2026, coinciding with NeurIPS. The exact date will be confirmed once the venue arrangements are finalized. You can indicate your preferred date using this form <https://forms.gle/nfpXEMiTWfoyKiX87>. Our workshop theme focuses on a central question: Why, when, and how do distinct learning processes yield similar representations, and to what extent can these be unified? Neural systems, whether artificial or biological, often converge on structurally similar internal representations when exposed to semantically related inputs. This workshop brings together researchers from Neuroscience, Artificial Intelligence, and Cognitive Science to build a unified understanding of this phenomenon and explore its theoretical and practical implications. We invite contributions addressing the following questions: - When? Under what conditions do similar representations emerge, and how can we measure this? - Why? What mechanisms, biological or computational, drive representational convergence? - What for? How can we harness this understanding for modular deep learning, model merging, transfer learning, and beyond? Topics of Interest Here’s a non-exhaustive list of themes we’re excited to explore, targeting especially their relationship with the questions listed above: - Model merging, stitching, and compositionality - Representational alignment and similarity measures - Identifiability and symmetry in neural models - Learning dynamics and mechanistic interpretability - Multimodal and multiview learning - Disentangled representations - Linear mode connectivity - Representation Similarity Analysis (RSA) - Multi-agent communication - Mechanistic interpretability - Representation universality Submission Tracks Full Paper (Archival) - Up to 9 pages (excluding references and appendix) - Anonymous submission - Published in dedicated workshop proceedings - Poster + spotlight opportunities Extended Abstract (Non-Archival) - Up to 4 pages - Anonymous submission - Poster + spotlight opportunities - Perfect for early-stage work, negative results, or opinion pieces Both tracks are eligible for best papers awards. Submit via OpenReview <https://openreview.net/group?id=UniReps.org/2026/Workshop> Deadline: 4th October 2026 (AoE) Join Our Program Committee We’re looking for dedicated reviewers to help maintain the high standard of our review process. Each reviewer is assigned no more than two submissions, and we’re planning to introduce Reviewer Awards to recognise outstanding contributions. Interested? Sign up here <https://docs.google.com/forms/d/e/1FAIpQLScGnnXH13fNw50Sm09oeXvTup-ZkpmSLq4…> to join the UniReps 2026 Program Committee. We look forward to your submissions and hope to see you at UniReps! Warm regards, The UniReps Organising Team

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Frontier Series 2026 / Translational Neurocognitive Technologies
by Vasiliki Kondyli Sept. 10, 2026

Sept. 10, 2026

Dear all, I would like to invite you to the next talk in the Frontiers Series, featuring Prof. Michael Schöll (University of Gothenburg, Sweden): Molecular Medicine, Neuroimaging and Biomarkers for Neurodegenerative Disease Date: September 16, 2026 Time: 14:00 (Amsterdam, Berlin, Rome, Stockholm, Vienna) For talk details, the full schedule, and registration information, please visit: https://codesign-lab.org/frontier26/ We look forward to seeing you there! Best wishes, Vasiliki ================================================================================================= CoDesign Lab EU is inviting you to a scheduled Zoom meeting. Topic: Frontier series 2026 / Prof. Michael Schöll (Molecular Medicine, Neuroimaging and Biomarkers for Neurodegenerative Disease) Time: Sep 16, 2026 14:00 Copenhagen Join Zoom Meeting https://oru-se.zoom.us/j/67604219242?pwd=tOTCRlSUbHpS2YmtBkvZrgvHrjeYQm.1 Meeting agenda https://docs.zoom.us/agenda/doc/ec726b06-f6ad-4c18-88db-e256e305b607 Meeting ID: 676 0421 9242 Passcode: 578478 ================================================================================================= FRONTIER SERIES 2026 / TRANSLATIONAL NEUROCOGNITIVE TECHNOLOGIES / Cognitive Neuroscience. Responsible AI. Clinical Application. / Örebro University and Lund University (Sweden) present the Frontier 2026 Talk Series centralising the themes of next-generation responsible neurocognitive technologies and translational clinical neuroscience. The series brings together researchers from neuroscience, artificial intelligence, cognitive science, engineering, and data science to explore the mechanisms of brain function in health and disease. The series emphasises interdisciplinary methodologies linking neuroimaging, molecular neuroscience, systems neuroscience, computational cognitive modelling, computer science, and cognitive science to drive innovation and societal impact with ecologically valid diagnosis, monitoring, and intervention in real-world clinical contexts. Participation is free, and all interested are welcome. Special opportunities exist for student participants (refer below). Details / https://codesign-lab.org/frontier26/ SPEAKER PANEL > / Germany (Ernst Strüngmann Institute for Neuroscience. Heinrich-Heine-University. Hertie Institute - University of Tübingen. Research Center Jülich. Freie Universität Berlin) \ Netherlands (Universiteit Leiden) \ Poland (Jagiellonian University in Kraków) \ Singapore (National University of Singapore) \ Sweden (University of Gothenburg. Karolinska Institute. Lund University) \ Taiwan (National Yang Ming Chiao Tung University) \ United States (Columbia University Medical Center. Georgia Institute of Technology) In order of planned schedule during 2026: — Prof. Simon Eickhoff (Heinrich-Heine-University & Research Center Jülich, Germany) “Clinical Brain Medicine 2.0 – The ABCD-J Platform for Digital Biomarker Research and mHealth” — Dr. Sankaraleengam Alagapan (Georgia Institute of Technology, United States) “Interpretability in Neurotechnology: Using Explainable AI to Identify Biomarkers in Deep Brain Stimulation” — Prof. Juan (Helen) Zhou (National University of Singapore, Singapore) “Multimodal Neuroimaging in Neuropsychiatric Disorders” — Prof. Esther Kuehn (Hertie Institute for Clinical Brain Research, Germany) “Translational Applications of Layer-Specific Multimodal MRI for Aging and Neurodegeneration” — Prof. Michael Schöll (University of Gothenburg, Sweden) “Molecular Medicine, Neuroimaging and Biomarkers for Neurodegenerative Disease” — Prof. Joana Braga Pereira (Karolinska Institute, Sweden) “Mapping Brain Connectivity in Aging and Neurodegeneration: From Molecular Markers to Brain Networks” — Prof. Ching-Po Lin (National Yang Ming Chiao Tung University, Taiwan) “MRI, Brain Connectomics, and Neuropsychiatric Disorders” — Prof. Mikael Johansson (Lund University, Sweden) “Decoding Episodic Memory: Neural Reinstatement and Eye Movement Dynamics in the Reconstruction of Past Events” — Prof. Marcin Leszczyński (Columbia University Medical Center, US & Jagiellonian University, Poland) “Neural Oscillations, Memory, and Neural (Dys)Function” — Prof. Ineke van der Ham (Universiteit Leiden, The Netherlands) “The Potential of Virtual Reality for Clinical Neuropsychology” — Prof. Radoslaw Martin Cichy (Freie Universität Berlin, Germany) “Empirical Vision Neuroscience for Next-Generation AI” STUDENTS > OBTAIN EDUCATIONAL CREDITS The Frontier 2026 series will also in parallel run in a seminar mode for those participants desirous of securing educational credits (e.g., as part of an accredited educational programme). Please contact the series co-ordinators (details below) for further information concerning this form of participation, including deadlines, participation process, and expected requirements towards obtaining course credit. COORDINATION — CONTACT Mehul Bhatt -and- Vasiliki Kondyli Örebro University -and- Lund University / Sweden CoDesign Lab EU / Artificial and Human Intelligence https://codesign-lab.org/ (Apologies for redundant distribution; kindly please forward as you see fit) När du skickar e-post till Lunds universitet behandlar vi dina personuppgifter i enlighet med gällande lagstiftning. Mer om hur dina personuppgifter behandlas hittar du på Lunds universitets webbplats<http://www.lu.se/integritet>. When you send emails to Lund University, we process your personal data in accordance with existing legislation. To find out more about the processing of your personal data, visit the Lund University website<https://www.lunduniversity.lu.se/about/contact-us/processing-of-personal-da…>. To unsubscribe from this list please go to https://cognitivesciencesociety.simplelists.com/confirm/?u=lz9fw6gtt3Laj1wp…

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cuttingEEG garden Groningen
by Jelmer Borst Sept. 9, 2026

Sept. 9, 2026

Dear all, From 21-25 September, we will be hosting a so-called garden of the global cuttingEEG conference <https://cuttingeeg.org/cuttinggardens2026/> in Groningen, the Netherlands. Cutting gardens is a multi-hub conference focusing on cutting edge M/EEG analysis methods. In the Groningen garden <https://cuttingeeg.org/cuttinggardens2026/gardens/groningen/>, we will have a morning programme in which we give tutorials on MNE <https://mne.tools/stable/index.html> (basic and ML), Unfold <https://www.unfoldtoolbox.org/> (EEG deconvolution), and HMP <https://github.com/GWeindel/hmp> (single trial EEG event detection), discuss BCI approaches and have a variety talks on recent EEG analysis methods. In the afternoons, we will be watching the global talks together. Please check our website <https://cuttingeeg.org/cuttinggardens2026/gardens/groningen/> for details and registration (125 euro for the whole week!). Hope to see you in Groningen! The organising committee, Andreea Sburlea Lisa-Marie Vortmann Olaf Dimigen Yiyue Zhang Osman Oguz Wouter Kruijne Jelmer Borst

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Postdoctoral Positions at Washington University in St. Louis
by rncao90＠gmail.com Sept. 8, 2026

Sept. 8, 2026

Hi All, The Multimodal Cognitive Neuroscience Lab (MCN Lab; PI: Runnan Cao, PhD) is recruiting two postdoctoral researchers to study visual and social cognition, computational neuroscience, and multimodal brain imaging. Applicants should have a strong background in fMRI and/or electrophysiology. Experience with 7T fMRI, computational modeling, machine learning/agentic AI, or neuroscience data-processing workflows is preferred. More details in https://crn2022.github.io/mmclab-washu.github.io/join.html (official website in progress) The lab is based in the Neuroimaging Labs Research Center at WashU Medicine, offering advanced imaging resources and extensive interdisciplinary collaborations. Please send a CV, brief description of research interests, and representative publications to r.cao(a)wustl.edu. Thanks, Runnan Cao Assistant Professor Radiology, Washington University in St. Louis

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[Jobs] 2 PhD + 1 Postdoc + 2 RA positions: hippocampus, world models, epilepsy (Göttingen)
by Tristan Manfred Stöber Sept. 7, 2026

Sept. 7, 2026

Dear all, I am looking for five people to join my group at the Campus Institute Data Science (CIDAS), University of Göttingen, Germany. We study how the brain builds and uses its internal model of the world, and how those principles can be reengineered in artificial neural networks. In parallel, we run a clinical line of work on epilepsy, applying machine learning tools to intracranial recordings from patients, together with the University Hospital Frankfurt. All positions are based in Göttingen and start as soon as possible. PH.D. STUDENT - HIPPOCAMPAL REPRESENTATIONS IN DYNAMIC ENVIRONMENTS TV-L E13 100%, 3 years Analyse an unpublished, large-scale in-vivo miniscope dataset: CA1 pyramidal cells tracked across 11 tasks and 34 days. Characterise how cognitive maps emerge, drift and are reused, from single cells to the geometry of the population manifold. In close collaboration with Tom McHugh (RIKEN CBS, Japan). PH.D. STUDENT - BRAIN-INSPIRED WORLD MODELS FOR DYNAMIC ENVIRONMENTS TV-L E13 100%, 3 years We distil inductive biases from normative hippocampus models and use these insights to build novel and powerful model-based deep RL agents. The goal: agents that plan over long horizons with interpretable internal representations. POSTDOCTORAL RESEARCHER - MACHINE LEARNING FOR EPILEPSY TV-L E13 100%, ~1 year with potential extension We try to predict epilepsy before it even starts. We use unique intracranial recordings from patients who suffered a bleed on the brain's surface, about one in three of whom go on to develop epilepsy. On these data we fine-tune EEG foundation models. We also build digital twin network models of individual patients, allowing us to simulate personalised prevention and treatment strategies. A collaboration with Michael Strüber and Felix Rosenow (University Hospital Frankfurt), and Richard Gao (Goethe University Frankfurt). RESEARCH ASSISTANTS (2 POSITIONS) Part-time, students welcome Support the projects above with calcium imaging data processing, behavioural tracking, software engineering and simulation experiments. A good entry point for a B.Sc. or M.Sc. thesis in the lab. PREREQUISITES Strong quantitative skills, fluency in Python, experience with machine learning, and genuine curiosity about both brains and machines. WHAT WE OFFER An interdisciplinary group at the interface of neuroscience and AI, a strong national and international network, and a generous ERC travel and publication budget for conferences such as NeurIPS, Cosyne and FENS. HOW TO APPLY Send your CV, a short motivation letter naming the position you are interested in, and contact details of two references to tristan.stoeber(a)posteo.net. Applications received by 24 September 2026 will receive full consideration; the positions remain open until filled. Internships and thesis projects outside these openings are always welcome. If you are unsure which position fits you best, or would like to hear more about a project before applying, write to me at the same address. I am happy to talk first. More about the lab at [1]. Best regards, Tristan [1] https://tristanstoeber.github.io -- Tristan Manfred Stöber, Ph.D. Computational Neuroscientist CIDAS Fellow, Campus Institute Data Science, University of Göttingen Research Fellow, Dept. of Neurology, University Hospital Frankfurt

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Application deadline approaching: Patagonian School of Science
by Ines Samengo Sept. 7, 2026

Sept. 7, 2026

There are still a few days left to apply for a summer school — actually, a late-spring school in the Southern Hemisphere — taking place in mid-December. The Patagonian School of Science “Dynamics of Large-Scale Neural Systems” will take place from December 8–19, 2026, at Brazo Huemul, on the northern shore of Lake Nahuel Huapi in Patagonia, Argentina. The school will bring together 20–25 PhD students and postdocs with international researchers to explore how large populations of neurons give rise to behavior. The faculty includes Edvard Moser (2014 Nobel Laureate), Rafael Yuste, Susanne Schreiber, Carina Curto, Nachum Ulanovsky, Soledad Gonzalo Cogno, Christian Machens, Iván Davidovich, Valeria Della Maggiore, Emilio Kropff and Inés Samengo. The school will combine lectures, student presentations, workshops, discussions, and one-to-one interactions with faculty. It will take place in a remote setting with limited connectivity, creating an environment where participants can focus on scientific discussion and face-to-face interaction. Applications are open until September 15, 2026. The registration fee is USD 1,200 and includes accommodation and meals for the duration of the school. *Financial support may be available for students who do not have sufficient institutional funding.* Full information about the program, faculty, and application process is available here: https://ib.edu.ar/patagonian_school_sciences2026/ Enquiries: psos(a)ib.edu.ar

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Announcing SNUFA 2026: Nov 4-5 (online) - Abstract submission and registration now open!
by Friedemann Zenke Sept. 3, 2026

Sept. 3, 2026

We are happy to announce SNUFA 2026, taking place 4-5 November 2026 (online)---your friendly online focus meeting on spiking neural networks that compute. Abstract submission and registration are now open! See https://snufa.net/2026 for details. This year's invited speakers are Giulia D'Angelo (Czech Technical University in Prague), Eugene Izhikevich (Brain Corp and DeepSpike), Mihai Petrovici (University of Bern), and Susanne Schreiber (Humboldt University). Like every year, the workshop brings together researchers in computational neuroscience, machine learning, and neuromorphic engineering to present their work and discuss how to translate these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample discussion time. Attendance is free, but registration is required. Abstract submission deadline: September 25, 2026 (anywhere on earth) SNUFA 2026 is brought to you by Sacha van Albada, Jason Eshraghian, Dan Goodman, and Friedemann Zenke ------------------------------------------------------------------------ https://snufa.net/2026

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Postdoctoral and PhD Positions in Computational Neuroscience & Machine Learning at UCLA
by Marcus Triplett Sept. 2, 2026

Sept. 2, 2026

Dear All, The Triplett Lab at UCLA is recruiting for multiple postdoctoral and PhD positions in computational neuroscience and machine learning. Projects will span two broad areas: - Statistical machine learning methods for neural data analysis, such as inference of neural circuit connectivity and plasticity rules from large-scale imaging, electrophysiology, circuit perturbation, and behavioral data. - Computational models of cognition, including how neural systems form representations of causal structure and use them for decision-making or planning. Projects will combine neural circuit models and interpretability techniques (e.g. dynamical systems analysis) with behavioral and/or intracranial data to identify and test candidate mechanisms. Postdoctoral applicants should have (or expect to soon receive) a PhD in a quantitative field such as Computational Neuroscience, Applied Mathematics, Computer Science, or a related area. Prospective PhD students must first be admitted to an appropriate UCLA graduate program, such as Neuroscience, Computer Science, or Bioengineering. Interested applicants are encouraged to contact Marcus Triplett ( marcustriplett(a)ucla.edu) with a CV and brief description of past and future research interests. For more details visit triplett-lab.org. AA/EOE.

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Submit to Collection: Computational and Theoretical Approaches to Multi-Scale Dynamics from Cells to Behavior
by DEPANNEMAECKER Damien Sept. 2, 2026

Sept. 2, 2026

Dear All, We invite you to submit your work to "Discover Mental Health" journal: Computational and Theoretical Approaches to Multi-Scale Dynamics from Cells to Behavior https://link.springer.com/collections/iidiiijebb This Collection aims to bring together experimental, computational, and theoretical studies investigating dynamics across biological, cognitive, behavioral, and clinical scales, from cellular processes and neural circuits to whole-brain activity, behavior, and symptom expression. We welcome contributions developing models, analytical frameworks, and data-driven approaches that advance our understanding of multi-scale organization, emergent phenomena, and the transitions between adaptive and maladaptive dynamics from the cellular level to the symptoms level. Particular interest is given to studies exploring how interactions across scales shape the emergence, evolution, and variability of behaviors and symptoms over time. A central goal of this Collection is to advance our understanding of mental health through a multi-scale perspective. We particularly encourage work examining how biological and neural dynamics give rise to symptom trajectories and behavioral changes in conditions such as depression, psychosis, anxiety disorders, and neurodevelopmental disorders. We welcome studies addressing clinically relevant outcomes, including relapse, treatment response, disease progression, resilience, and functional impairment. The Collection welcomes contributions spanning both theoretical advances and empirical applications. Investigations spanning from cells and neuronal circuits to symptom networks are particularly encouraged, including studies linking cellular and circuit-level mechanisms to cognition, behavior, and symptom dynamics across multiple temporal and spatial scales. We also welcome research on emergent maladaptive states in psychiatric disorders, examining how critical transitions, network reorganization, instability, resilience, and other dynamical processes contribute to the onset, persistence, and progression of psychiatric symptoms and behavioral dysfunction. We encourage submissions using a wide range of experimental and computational approaches, including multimodal neuroimaging (EEG, fMRI, MEG, etc) integrated with longitudinal symptom measurements, computational models constrained or validated by clinical trial data, digital phenotyping combined with dynamical systems analyses, ecological momentary assessment, wearable sensing, and other longitudinal behavioral datasets. We also welcome methodological papers introducing novel analytical frameworks for characterizing multi-scale dynamics in mental health. While theoretical contributions are strongly encouraged, submitted models should ideally be connected to empirical observations or generate clear, testable predictions regarding brain function, behavior, or mental health outcomes. We particularly encourage work that bridges theoretical neuroscience, complex systems, and computational psychiatry by integrating mathematical modeling with experimental or clinical data. Finally, this Collection seeks studies with translational potential that contribute to precision psychiatry and personalized mental health care. Examples include computational approaches for patient stratification, prediction of treatment response or relapse, optimization of neuromodulation strategies, development of adaptive digital therapeutics, and identification of biomarkers that capture dynamic processes across biological and behavioral scales. Keywords * * Multi-scale dynamics * Computational psychiatry * Dynamical systems * Complex systems * Symptom dynamics * Computational modeling * Theoretical neuroscience * Digital phenotyping * Precision psychiatry * Emergence

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2026 INCTN meeting @ Trieste, Italy - 22-24 Sept - abstract submission deadline approaching
by Eugenio Piasini Sept. 1, 2026

Sept. 1, 2026

Dear all, This is a reminder that the abstract submission deadline is approaching for the 2026 meeting of the Italian Network for Computational and Theoretical Neuroscience, which will take place from September 22-24th in Trieste. Submit your abstract by July 10th! We look forward to a great programme with invited and contributed talks on Computational, Theoretical, and Systems Neuroscience, led by keynotes from Máté Lengyel, Sandro Romani, and Fanny Cazettes. We will also have a number of contributed talks and poster sessions to give everybody an opportunity to share their research; and finally, there will be ample time for discussions by the sea side. Please visit our website to see the full lineup of invited speakers and for more information: https://inctn.it/ or register directly here<https://indico.sissa.it/event/190/>. We look forward to seeing you all in Trieste ! The organisers: Francesca Mastrogiuseppe, Eugenio Piasini, and Sebastian Goldt

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Algonauts Project 2027 Challenge
by Alessandro Gifford Aug. 31, 2026

Aug. 31, 2026

Dear colleagues, We are excited to announce the Algonauts Project Challenge 2027 <https://algonautsproject.com/2027/index.html>, organized in collaboration with CNeuroMod <https://www.cneuromod.ca/>: How The Human Brain Makes Sense of Video Games. The goal of this year’s challenge is to predict human brain responses measured with fMRI during a variety of video games. Moving beyond passive stimulus viewing, the challenge brings together perception, decision-making, behavior, and learning, pushing brain modeling toward the complex and dynamic environments in which human cognition naturally unfolds. The challenge will launch at the end of 2026 and run until summer 2027. The top three teams will be invited to present their work at the Algonauts Challenge showcase at CCN 2027 <https://2027.ccneuro.org/> in Edinburgh. More details about the challenge will follow over the coming months. To make sure you do not miss any updates, sign up here <https://algonautsproject.com/2027/index.html#signup>. Website: https://algonautsproject.com/2027/index.html Email: algonauts.mit(a)gmail.com Bluesky: @algonautsproject.bsky.social <https://bsky.app/profile/algonautsproject.bsky.social>X: @AlgonautsProj <https://x.com/AlgonautsProj> We look forward to your participation in the challenge! Best, The Algonauts Project Team Domenic Bersch, Goethe University Frankfurt Alessandro Gifford, Freie Universität Berlin Marie St-Laurent, CRIUGM Basile Pinsard, CRIUGM Yann Harel, Boston College Julie Boyle, Université de Montréal Lune Bellec, Université de Montréal Aude Oliva, Massachusetts Institute of Technology Gemma Roig, Goethe University Frankfurt Radoslaw Cichy, Freie Universität Berlin

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Last Seats Available! International Artificial Intelligence Summer School – IAISS 2026
by ICAS Organizing Committee Aug. 30, 2026

Aug. 30, 2026

Email not displaying correctly? *View it* in your browser. [image: IAISS 2026] <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVojse…> Call for Participation <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVoudv…> International Artificial Intelligence Summer School -IAISS 2026 <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVoizV…> , *Registration: by August 23* <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVoudv…> Register Now <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVoudv…> 5 Days. World-Class Experts. Tuscany. 🧠 A Full-Immersion Experience in Frontier AI Join us for an unforgettable week of cutting-edge lectures on AI and Generative AI, delivered by some of the most renowned researchers in the field — set against the stunning backdrop of the Tuscan coast. 📍 *Riva del Sole Resort & SPA*, Castiglione della Pescaia, Tuscany, Italy 🗓 *September 20–24, 2026* 🔗 2026.iaiss.cc <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVoizV…> ✉️ iaiss(a)icas.cc 🎤 Meet Your Lecturers An extraordinary faculty from leading institutions across the globe — each delivering up to four lectures on the frontiers of AI research: *Stefano V. Albrecht* — Nanyang Technological University, Singapore - Introduction to Multi-Agent Reinforcement Learning - If Multi-Agent Foundation Models is the Answer, What is the Question? - Becoming an AI Researcher: Practical Advice for Graduate Students *Rafal Bogacz* — University of Oxford, UK - Predictive coding: training neural networks with local rules - Predictive coding: advantages over backpropagation - Predictive coding: implementation *Giuseppe De Giacomo* — University of Oxford, UK - Foundations of Guardrailing Agentic AI via Temporal Synthesis (3-part course) *Christoph Feichtenhofer* — Meta Superintelligence Labs, USA - On the impact of data for vision-language learning (parts 1–2) - Building frontier visual segmentation models *Sven Giesselbach* — T-Systems International, Germany - Agentic AI (parts 1–3) *Jamie Hayes* — Google DeepMind, UK - Agentic Security: how to attack and defend against prompt injection (2 parts) *Sumi Helal* — University of Bologna, Italy - Two lectures — titles to be announced *Albert Q. Jiang* — Mistral AI, Paris & University of Cambridge, UK - Machines That Prove: Foundations of AI for Formal Methods and Mathematics - Machines That Reason: Foundation Models and the State of the Art in AI for Mathematics - Machines That Discover: The Future of Automated Mathematics *Marine Le Morvan* — INRIA Saclay, France - The rise of Tabular Foundation Models - TabICL: an open Tabular Foundation Model - Next frontiers for TFMs *Bruno Lepri* — FBK, Italy - Three lectures — titles to be announced *Sebastian Risi* — Sakana AI, Japan & IT University of Copenhagen, Denmark - Three lectures — titles to be announced *George Paliouras* — NCSR "Demokritos", Athens, Greece - Complex Event Recognition/Forecasting and Applications - Large-Scale Probabilistic Complex Event Recognition/Forecasting - Neuro-Symbolic Reasoning and Learning for Complex Event Recognition/Forecasting *Panos Pardalos* — University of Florida, USA - Impact of AI and Optimization on the economics of sustainability 👉 Explore the full lecturer bios <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVopUC…> 👉 Browse the lecture program <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVopUC…> 🏆 Present Your Own Research Want to share your work with a world-class audience? Submit a *research abstract* (max 2 pages, any format) during registration. Our scientific committee will select contributions for *poster presentations* and/or *short talks* — plus a chance to compete for the *IAISS Norbert Wiener Best Presentation Award in Artificial Intelligence*. ⏰ Abstract deadline: *September 6* 🔗 See the Best Presentation Award <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVojsD…> ✅ Why Attend? - *36–40 hours* of intensive lectures from top-tier researchers - Earn *8 ECTS points* (PhD students and highly motivated Master's/BSc students) - Network with peers in a *convivial, professional, and inspiring* setting - A rare opportunity to learn directly from — and mingle with — the people shaping the future of AI *Who should attend:* PhD students, PostDocs, junior academics (up to Assistant Professor level), industry practitioners, and exceptionally motivated Master's/BSc students. *Language:* English 🏨 The Venue *Riva del Sole Resort & SPA* Località Riva del Sole, Castiglione della Pescaia (Grosseto), 58043, Tuscany, Italy 📞 +39 0564 928111 <+39%200564%20928111> | ✉️ booking.events(a)rivadelsole.it 🔗 rivadelsole.it <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVop62…> IAISS is a *fully residential* school — all participants and lecturers stay together at the same resort, creating a truly immersive, community-driven learning experience. No exceptions. *To join us, simply:* 1. *Register* for the school 2. *Book your stay* at Riva del Sole Resort & SPA using the IAISS discounted rates (accommodation form provided at registration) 3. Send your *booking confirmation number* to iaiss(a)icas.cc *Sharing an apartment?* Send the Hotel your co-guest's name, surname, and email — otherwise, book a single-use apartment. IAISS is proudly organized as a *non-profit scientific event*. 🚀 Seats Are Limited — Register Now! 👉 *Register here* <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVoudv…> 📚 Past editions <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVonnw…> | ❓ FAQ <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVol3n…> | 📰 Latest news <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVovGs…> | 💼 LinkedIn group <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVohC1…> *See you this September in Riva del Sole!* — The IAISS 2026 Organizing Committee 🔗 2026.iaiss.cc <https://u9436285.ct.sendgrid.net/ls/click?upn=u001.dsBJlyaSCnb5nD32aHyVoizV…> | ✉️ iaiss(a)icas.cc

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GeMAIHc 2027: early registration September 18
by David Silva - IRDTA Aug. 29, 2026

Aug. 29, 2026

******************************************************** 1st INTERNATIONAL SCHOOL ON GENERATIVE & MULTIMODAL AI FOR HEALTHCARE GeMAIHc 2027 Milan, Italy February 1-5, 2027 https://gemaihc.irdta.eu/2027/ ******************************************************** Co-organized by: Human Technopole IRDTA – Institute for Research Development, Training and Advice ****************************************************** Early registration: September 18, 2026 ****************************************************** SCOPE AI is rapidly redefining biomedical research, clinical decision-making, and healthcare delivery worldwide. GeMAIHc 2027 will provide participants with a comprehensive overview of state-of-the-art AI methodologies. Topics will include generative modelling, multimodal data integration and augmentation, large language models and clinical NLP, medical image synthesis and analysis, as well as evaluation, robustness, validation, ethical considerations, and regulatory aspects of AI systems in healthcare. GeMAIHc 2027 aims to become a leading international forum at the intersection of generative AI, multimodal learning, and healthcare innovation. The program will emphasize both methodological foundations and real-world clinical applications, combining theoretical insights with practical perspectives. This interdisciplinary event will feature 18 monographic three-hour courses, 2 keynote lectures, 3 scientific sessions, 1 symposium, and a hackathon. Leading academics and industry pioneers will share their expertise and perspectives with attendees. In-person interaction and networking will be central components of the event, while full remote participation will also be possible. ADDRESSED TO The program is open to PhD students and postdoctoral researchers in AI, data science, and biomedical disciplines, clinicians and healthcare professionals, industry practitioners and innovators, and policymakers and stakeholders in digital health. There are no formal academic prerequisites for participation. Researchers and professionals at all career stages are welcome. An international audience is expected, with backgrounds spanning computer science, medicine, engineering, mathematics, statistics, physics, and the social sciences. GeMAIHc 2027 will offer a unique opportunity to gain in-depth knowledge of a rapidly evolving field, to interact with experts across disciplines, to establish collaborations and expand professional networks, and to explore how AI is reshaping the future of healthcare. VENUE GeMAIHc 2027 will take place in Milan, one of Europe’s leading international centers for science, industry, fashion, and finance. The venue will be: Human Technopole Viale Rita Levi-Montalcini, 1 20157 Milan, Italy https://humantechnopole.it/en/ STRUCTURE Three parallel courses will run throughout the event. Participants will be free to choose the sessions they wish to attend and may move between courses at any time. A symposium will offer participants and companies the opportunity to present ongoing research or industrial developments through 10-minute oral presentations. The school will include a hackathon, during which participants will work in teams to tackle challenges in generative and multimodal AI for healthcare. All lectures will be video recorded and made available to participants for 45 days after the event. Full live online participation will be possible. Nevertheless, the organizers emphasize the importance of in-person interaction and networking in research training events of this kind. KEYNOTE SPEAKERS Deborah Estrin (Cornell University), Transforming Longitudinal Care with Digital Biomarkers and Therapeutics Lyle Palmer (Adelaide University), Deep Learning in Medicine: Some Lessons from Epidemiology and Genomics PROFESSORS AND COURSES Pierre Baldi (University of California Irvine), [introductory/advanced] The AI-driven Healthcare of the Future David Buckeridge (McGill University), [intermediate] Multi-Modal Data Analysis in Population and Public Health Alejandro Frangi (University of Manchester), [intermediate/advanced] Virtual Patient Populations for In Silico Trials Using Generative AI Based on Multimodal Real-World Data Charles Friedman (University of Michigan), [introductory] Synergizing AI and Learning Health Systems to Transform Health Judy Wawira Gichoya (Emory University), [introductory/advanced] Combination in a Hands on Lab for Harmonizing Radiology Datasets Maryellen Giger (University of Chicago), [introductory/intermediate] Role of Data & Algorithms in Trustworthy Medical Imaging AI Casey Greene (University of Colorado), [introductory/advanced] Translating Generative AI into Healthcare from Pharmacogenomics to Foundation Models Tina Hernandez-Boussard (Stanford University), [intermediate/advanced] The AI Lifecycle in Healthcare: Evaluation, Deployment, and Responsible Implementation Jianying Hu (IBM Thomas J. Watson Research Center), [intermediate/advanced] Advanced Computing for Biomedical Research and Discovery Jayashree Kalpathy-Cramer (University of Colorado), [introductory] Toward Digital Twins: Multimodal AI for Imaging and Precision Medicine Alex John London (Carnegie Mellon University), [intermediate/advanced] Ethical and Scientific Challenges to Unlocking the Clinical Value of Artificial Intelligence Asoke Nandi (Brunel University of London), [introductory/advanced] Selected Case Studies of Medical Image Segmentation Tom Pollard (Massachusetts Institute of Technology), [introductory/intermediate] Data: The Foundation, Constraint, and Failure Mode of Deployable Health AI Hoifung Poon (Recursion), [advanced] Toward Virtual Patient: AI for Accelerating Medical Discovery Jian Tang (Mila-Québec AI Institute), [introductory/advanced] Generative AI for Protein Design Peter van Ooijen (University of Groningen), [intermediate] Multimodal AI for Adaptive Radiotherapy: Tumor Segmentation, Uncertainty, and Explainability Karin Verspoor (Royal Melbourne Institute of Technology), [introductory/intermediate] AI Scientists and beyond: Roles for GenAI in Biomedical Research and Discovery Jelmer M. Wolterink (University of Twente), [intermediate/advanced] Data Representations in Health Digital Twinning: From Features to Foundation Models HT RESEARCH PERSPECTIVES Human Technopole will organize 3 scientific sessions: Probabilistic Models for (Medical) Image Analysis, by Jan Funke, Florian Jug, Federico Carrara, and Benjamin Salmon AI Models for Computational Biology, by Andrea Sottoriva, Michele Calabrò, and Manuel Dileo AI in Health Data Science, by Francesca Ieva, Andrea Ganna, Michela Carlotta Massi, Nicole Fontana, and Alessia Mapelli SYMPOSIUM A symposium will feature voluntary 10-minute oral presentations on ongoing research projects and industrial developments. Participants interested in presenting should submit a one-page abstract including title, authors, and summary to david(a)irdta.eu by January 8, 2027. HACKATHON Hands-on team activities will be organized around challenges in generative and multimodal AI for healthcare. The challenges will be released two weeks before the beginning of the school. A jury will evaluate the submissions, and the winners will be announced at the end of February 2027. Winning teams will receive a modest monetary prize, while runners-up will receive certificates of recognition. ORGANIZING COMMITTEE Jan Funke (Milan) Ilaria Guerini (Milan) Francesca Ieva (Milan) Carlos Martín-Vide (Tarragona, program chair) Michela Carlotta Massi (Milan, local chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) David Silva (London, organization chair) REGISTRATION Registration is available at: https://gemaihc.irdta.eu/2027/registration/ The selection of six courses requested during registration is tentative and non-binding. This information will help estimate demand for logistical planning purposes. As venue capacity is limited, registrations will be processed on a first-come, first-served basis. Registration will close once capacity has been reached. Early registration is strongly recommended. FEES Registration fees include access to all school activities and lunches. Several early registration deadlines are available, and fees vary depending on the registration period. Fees are identical for on-site and online participation. ACCOMMODATION Accommodation suggestions will be provided in due time at: https://gemaihc.irdta.eu/2027/accommodation/ CERTIFICATE Participants will receive a certificate indicating 40 hours of academic activities. This certificate should be suitable for participants seeking ECTS recognition from their home institutions. SPONSORS Companies, institutions, and organizations interested in sponsoring the event may download the sponsorship leaflet from: https://gemaihc.irdta.eu/2027/sponsors/ QUESTIONS AND FURTHER INFORMATION david(a)irdta.eu ACKNOWLEDGMENTS Human Technopole Universitat Rovira i Virgili IRDTA – Institute for Research Development, Training and Advice

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The NIH BRAIN Theories, Models and Methods Program Application Information
by Mollick, Jessica (NIH/NIDA) [E] Aug. 28, 2026

Aug. 28, 2026

The BRAIN Theories, Models and Methods (TMM) program<https://grants.nih.gov/grants/guide/rfa-files/RFA-DA-27-004.html> (RFA DA 27 004) supports the development and validation of innovative and rigorous theories, models and methods to advance the quantitative and predictive understanding of brain function across scales, including behavior. The program emphasizes tools that develop novel approaches for analyzing, integrating, and interpreting large-scale, complex data emerging from the BRAIN initiative and related efforts, including cell-type specific physiological, anatomical, connectivity, and behavioral data. Applications should focus on one or more of the following: * new or significantly advanced theories of brain function * mechanistic and/or predictive models of neural circuit activity and behavior grounded in empirical data * novel computational or statistical methods for analyzing neural and behavioral datasets.  Tools for analyzing brain activity must: * use data with cellular and sub-second temporal resolution (e.g., single-unit recordings, cellular imaging, connectomics) OR integrate information across multiple, clearly defined temporal scales (e.g., from synaptic events to learning).  * Approaches relying solely on non-invasive, low-resolution signals (e.g., scalp EEG, fMRI BOLD) must be directly integrated with and constrained by cellular/circuit-level data. * Tools for analyzing behavior  must incorporate neural data AND span multiple relevant temporal scales. * Experimental work must be limited to estimating model parameters and/or testing the validity of the TMM tools being delivered.  Theories, models and methods using disease or treatment paradigms are not responsive unless used to understand underlying functional and brain circuits. Important Deadlines: * New submissions: October 6. 2026 * Resubmission/Renewal applications: November 6, 2026 Please send specific aims pages and inquiries to: BRAINTheoriesFOA(a)ninds.nih.gov.<mailto:BRAINTheoriesFOA@ninds.nih.gov> We are happy to consult on fit with the program.

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PhD and Postdoc positions [Neuro-AI lab @ Technion] - Stefano Recanatesi
by Stefano Recanatesi Aug. 28, 2026

Aug. 28, 2026

*PhD and PostDoc Positions Available: Neuro-AI Lab at Technion* *About Us: *Our projects range from developing Brain-Computer Interfaces (BCIs) for both rodents and humans to creating theoretical and computational models of neural activity, and training cutting-edge machine-learning models, including large language models (LLMs). *University Environment: *The Technion offers a world-class research environment with state-of-the-art facilities and a strong international community. The lab is embedded within the Technion’s AI and neuroscience communities and maintains active collaborations with research groups abroad. We strongly encourage international mobility, supporting students in undertaking research visits, internships, and collaborative projects at partner institutions. In light of the current political situation, international students are particularly encouraged to take advantage of these collaborations, including opportunities to spend extended periods working in partner laboratories abroad. *Lab Homepage:* Technion Neuro-AI Lab <https://technionneuroailab.com> *Project Descriptions & Candidate Profiles:* We are seeking candidates with computational/theoretical or experimental expertise in the following areas: - *Computational Projects:* - Focus: Machine learning, artificial intelligence, and training of various network algorithms. - Relevant Backgrounds: Computer Science, Electrical Engineering, Data Science, etc. - *Theoretical Projects:* - Focus: Developing theoretical and computational predictions for neural experiments. - Relevant Backgrounds: Physics, Mathematics, Applied Mathematics, Computer Science, etc. - *Experimental Collaborations:* - Focus: Developing experimental setups with advanced computational tools for BCIs in collaboration with partner labs. - Relevant Backgrounds: Neuroscience, Biology, Medicine, etc., with strong computational skills. *What We Offer:* - A stimulating and supportive research environment. - Access to state-of-the-art equipment and infrastructure. - Opportunities for interdisciplinary scientific development. - An international and collaborative team atmosphere. - Comprehensive training in a wide range of scientific skills. - Opportunities to present your research at international conferences and workshops. - Extensive support for career development beyond your Ph.D. *Application Deadline: *We encourage candidates to apply as soon as possible. Our goal is to fill positions by October 2026. *How to Apply:* Please send your CV and full academic transcript directly to Prof. Stefano Recanatesi (stefano(a)technion.ac.il)

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Postdoctoral Fellow positions available to study spinal mechanisms of motor control
by Levine, Ariel (NIH/NINDS) [E] Aug. 28, 2026

Aug. 28, 2026

Hello Comp-Neuro Community, We have two Postdoctoral Fellow positions available in the lab, where we study how spinal neurons mediate motor control in mice. Next week, our lab will move from NIH to the Krembil Brain Institute at the University Health Network of the University of Toronto. Lab Description We focus on the spinal cord as the final point of neural control over body movement. The spinal cord contains the motoneurons that drive our muscles, the immediate premotor neurons that are the primary regulators of motoneuron activity, and the broader, as-yet-undefined networks of spinal neurons that transform sensory and descending cues into purposeful behavior. We have built extensive atlases of spinal cord cell types and we now want to understand how they act cooperatively to orchestrate movement. Position 1 We are seeking a postdoctoral fellow to investigate whether, and how, cell types shape population activity and mediate specific elements of sensorimotor function. This work will bring together several powerful approaches recently developed and adapted in our lab including in vivo high density electrical recordings from the spinal cords of awake behaving mice, closed-loop optogenetics, spinal cell-type specific manipulation, quantitative behavioral tracking, and computational analysis of neural activity and behavior data (which could involve co-mentorship with an outside collaborator). There is significant opportunity to co-design and lead projects. Position 2 We are seeking a postdoctoral fellow to investigate how specific spinal cord cell types and sensory elements contribute to behavior in mice. This work will also test the links between cell type identify, connectivity, and function by bringing together several powerful approaches including circuit tracing, cell-type specific manipulation, closed-loop optogenetics, and quantitative behavioral tracking. There is significant opportunity to co-design and lead projects. Duties * Development of all stages of research projects) in collaboration with Dr. Levine, members of the laboratory, and outside collaborators * Experimental design, wet-lab procedures, and data analysis * Advise and mentor of students and serve as an active member of laboratory intellectual life * Write and contribute to grant applications * Present research through original research publications, reviews, and talks at scientific conferences Qualifications * Doctoral degree (PhD) must be obtained within the previous 5 years from a recognized * A strong publication record (including pre-prints) * Expertise in one or more of the following areas * Position 1: high density electrophysiology, computational neuroscience, neural circuit tracing and analysis, mouse surgery, and quantitative assessment of sensorimotor behavior * Position 2: viral and anatomical circuit tracing, optogenetics, mouse genetics, mouse surgery, quantitative kinematic analysis, electromyography, and statistical/computational data Applications can be submitted through the UHN SmartRecruiters portal (Position 1<https://jobs.smartrecruiters.com/UniversityHealthNetwork/744000144149159-po…> and 2<https://jobs.smartrecruiters.com/UniversityHealthNetwork/744000144814376-po…>) or through the lab website<http://www.levine-lab.org/>. Thank you for sharing with your students and colleagues. Sincerely, Ariel Ariel Levine, MD, PhD Senior Scientist Peter Gilgan Chair in Neuroregeneration Research Krembil Brain Institute University Health Network University of Toronto www.levine-lab.org<http://www.levine-lab.org>

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Funded PhD Position in NeuroAI and Computational Neuroimaging – University of Rome Tor Vergata
by nicola toschi Aug. 27, 2026

Aug. 27, 2026

Dear Comp-Neuro community, We are recruiting for a three-year funded PhD position in our research group at the University of Rome “Tor Vergata”, within the Italian National PhD Programme in Artificial Intelligence – Health and Life Sciences. We are looking for a highly motivated candidate with a strong quantitative background who is interested in developing advanced AI and computational methods for studying the brain and human health. Depending on the candidate’s interests and expertise, the research may involve one or more of the following areas: * NeuroAI and computational modelling of brain activity * neural foundation models and generative AI * graph machine learning and dynamic brain networks * multimodal neuroimaging, including MRI, PET and CT * EEG, MEG and intracranial electrophysiology * neural decoding and encoding * multimodal representation learning * quantitative biomarkers and personalised prediction * neuromodulation, focused ultrasound and neurotechnology * causal, physical and mathematical modelling of biological systems We particularly welcome candidates with backgrounds in computer science, engineering, physics, mathematics, data science or closely related quantitative disciplines. Strong Python and machine-learning experience is highly valued. Previous work with neuroimaging, electrophysiological signals, graph-based methods, deep learning or modern foundation models would be advantageous. The successful candidate will join an interdisciplinary and international research environment with access to advanced datasets and technologies, as well as collaborations with academic, clinical and industrial partners. Interested candidates should contact us as soon as possible by sending: * an updated CV * a brief letter describing their background and research interests to nicola.toschi(a)uniroma2.eu<mailto:nicola.toschi@uniroma2.eu>, using the subject line: “PhD Expression of Interest – AI 2026” Please note that this preliminary contact does not replace the formal application. Candidates must also apply through the official portal by 7 September 2026 at 12:00 CET. Official call: https://www.unicampus.it/bando/bando-dottorato-di-ricerca-in-intelligenza-a… Application portal: https://pica.cineca.it/unicampus/2026-2027-phd-ai3-it-isessione Host institution: University of Rome “Tor Vergata”, Rome, Italy Duration: three years Application deadline: 7 September 2026, 12:00 CET Remote interview: 23 September 2026 Please feel free to circulate this announcement among potentially interested candidates. Best regards, Nicola Toschi Prof. Nicola Toschi Scholar Profile<https://scholar.google.com/citations?hl=en&user=kyI6AJ8AAAAJ&view_op=list_w…> | Lab Website<https://fismed.uniroma2.it/> | Bookable Time<https://calendar.app.google/vXmx4XiWRvkf23XQ7> | LinkedIn<https://www.linkedin.com/in/nicola-toschi-5680923/> Full Professor of Medical Physics Medical Physics Section - Department of Biomedicine and Prevention University of Rome "Tor Vergata" Via Montpellier 1 - 00133 Rome (IT) Email: toschi(a)med.uniroma2.it<mailto:toschi@med.uniroma2.it> Research Staff, Investigator A.A. Martinos Center for Biomedical Imaging - Harvard Medical School/MGH 149 13th street, 02129 Boston (MA), USA Email: nicola(a)nmr.mgh.harvard.edu<mailto:nicola@nmr.mgh.harvard.edu>

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Academic positions in Artificial Intelligence at the University of Surrey
by roman bauer Aug. 27, 2026

Aug. 27, 2026

Dear all, We are pleased to announce three open academic positions in Artificial Intelligence at the University of Surrey, UK: Professor in Artificial Intelligence (NICE Research Group within the Computer Science Research Centre) https://jobs.surrey.ac.uk/Vacancy.aspx?ref=037526 Senior Lecturer in Artificial Intelligence (NICE Research Group within the Computer Science Research Centre) https://jobs.surrey.ac.uk/Vacancy.aspx?ref=037426 Professor in Artificial Intelligence (Centre for Vision, Speech and Signal Processing) https://jobs.surrey.ac.uk/Vacancy.aspx?ref=037626 Closing date: Sunday 13 September 2026 The School of Computer Science and Electronic Engineering is seeking to recruit internationally recognised researchers to strengthen its research and teaching in Artificial Intelligence. These appointments form part of a wider recruitment campaign and strategic investment across the Faculty: https://www.jobs.ac.uk/enhanced/linking/university-of-surrey-engineering-ph… The Professor and Senior Lecturer positions in Computer Science cover areas including Large Machine Learning Models, Neurosymbolic AI, Trustworthy Machine Learning, Natural Language Processing, and applications of AI and machine learning in automated reasoning, security, and software and systems development. Both posts are aligned with the Nature Inspired Computing and Engineering (NICE) Research Group within the Computer Science Research Centre. The Professor position within the Centre for Vision, Speech and Signal Processing focuses on leading growth in frontier AI, including multimodal foundation models, machine learning, agentic, people-centred and sustainable AI, with applications spanning human and animal health, biosciences, creative industries, sustainability, robotics and autonomous systems. The School is home to two established research centres with substantial expertise in AI and machine learning: the Computer Science Research Centre and the Centre for Vision, Speech and Signal Processing. Surrey has an established international reputation in AI research, ranking first in the UK for computer vision and among the top five for AI, computer vision, machine learning, robotics and natural language processing according to CSRankings.org. The School was also ranked seventh in the UK for Computer Science research outputs in REF2021. Computer Science and CVSSP are central to the Surrey Institute for People-Centred AI, a pan-University initiative bringing together AI research and expertise across health, engineering, social and behavioural sciences, business, law and the creative arts. The Institute leads a portfolio of more than £100 million in grant awards, including major activities in healthcare and the creative industries, and two doctoral training programmes supporting more than 100 PhD researchers. Informal enquiries concerning the Computer Science positions may be directed to Professor Brijesh Dongol at b.dongol(a)surrey.ac.uk. Enquiries concerning the CVSSP position may be directed to Professor Adrian Hilton at a.hilton(a)surrey.ac.uk. Our staff and students come from around the world, and we are proud of our friendly and inclusive culture. The University is committed to building a diverse community, and applications from under-represented groups are particularly encouraged. Please share these opportunities with potentially interested candidates and across your networks. Best regards, Roman *Roman Bauer, Ph.D.* Senior Lecturer | Head of the NICE Research Group BioDynaMo Spokesperson (www.biodynamo.org) *A software suite to enable simulations of large, complex systems for research or policy making* *Computer Science Research Centre* University of Surrey | Guildford, UK r.bauer(a)surrey.ac.uk | ORCID <https://orcid.org/0000-0002-7268-9359> | LinkedIn <https://www.linkedin.com/in/roman-bauer-05176094/> * Watch the **BioDynaMo introduction video* <https://youtu.be/N6Kzc_AadyI?si=zHymOvrlR3wzAbCf>

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Postdoc Positions in Cognitive and Computational Neuroscience at Washington University in St. Louis
by Runnan Cao Aug. 26, 2026

Aug. 26, 2026

The Multimodal Cognitive Neuroscience Laboratory, led by Dr. Runnan Cao at Washington University School of Medicine in St. Louis, invites applications for postdoctoral research associate positions. Our laboratory investigates the neural computations and network-level dynamics underlying visual perception and social cognition in neurotypical individuals and people with neurodevelopmental or psychiatric conditions, including autism and schizophrenia. We combine human intracranial electrophysiology, including iEEG and single-neuron recordings, with high-resolution fMRI, behavioral experiments, and computational modeling to determine how the brain transforms visual input into representations that support social perception and behavior. These positions offer a distinctive opportunity to join a new laboratory at a formative stage. The successful candidates will help shape its scientific direction, analytical infrastructure, collaborative culture, and multimodal research program. Research Projects will be tailored to each postdoctoral researcher’s expertise, interests, and career goals. Potential research areas include: Neural coding of faces and socially relevant visual information Neurocomputational mechanisms underlying visual perception and social cognition Neural coding and network-level dynamics associated with autism and schizophrenia Multimodal integration of iEEG, single-neuron recordings, high-resolution fMRI, and behavioral data Computational models linking neural activity to perception and behavior AI-enabled methods for analyzing complex multimodal neuroscience data Required Qualifications Applicants must have: A PhD or equivalent doctoral degree in neuroscience, cognitive science, psychology, biomedical engineering, computer science, or a related discipline by the appointment start date A strong research background in fMRI and/or electrophysiology Experience analyzing neuroimaging, neural, behavioral, or computational data Proficiency in scientific programming, particularly Python and/or MATLAB Evidence of research productivity appropriate to career stage Strong written and oral communication skills The ability to work both independently and collaboratively in an interdisciplinary environment Preferred Qualifications Experience in one or more of the following areas is desirable: Acquisition or analysis of 7T fMRI data Human intracranial EEG, ECoG, depth-electrode, or single-neuron recordings Advanced statistical methods, neural signal processing, or network neuroscience Machine learning or deep learning applied to neural and behavioral data Multimodal integration of neuroimaging, electrophysiological, and behavioral data Agentic AI or AI-assisted scientific workflows Development of reproducible data-processing pipelines, workflow systems, or reusable computational tools Candidates who have deep expertise in one methodological area and are eager to develop complementary skills are strongly encouraged to apply. Mentoring and Professional Development Each postdoctoral researcher will work with Dr. Cao to develop an individualized research and career-development plan. Training may include advanced fMRI and electrophysiological analysis, computational modeling, machine learning, scientific writing, grant preparation, project leadership, mentoring, and the development of reproducible research tools. Postdoctoral researchers will be encouraged to establish a clear area of scientific ownership, pursue external funding, build an independent scholarly profile, and develop the skills needed for their chosen career path. Why Join Our Laboratory? Postdoctoral researchers will have the opportunity to: Work with distinctive human intracranial and single-neuron datasets Develop expertise across complementary spatial and temporal scales of brain measurement Help establish the methods, workflows, and scientific culture of a growing laboratory Receive individualized mentoring in research strategy, scientific writing, grant development, and career planning Build collaborations spanning cognitive, computational, clinical, and systems neuroscience Pursue independent fellowships and develop a path toward scientific independence Present their work at national and international scientific meetings The laboratory is committed to rigorous and open science, intellectual curiosity, constructive collaboration, and an environment in which researchers with different backgrounds and methodological strengths can thrive. Why WashU and the Neuroimaging Labs? The laboratory is based in the Neuroimaging Labs Research Center <https://www.mir.wustl.edu/research/research-centers/neuroimaging-labs-resea…> at WashU Medicine’s Mallinckrodt Institute of Radiology. The NIL-RC brings together investigators, postdoctoral researchers, students, clinicians, engineers, and research staff from Radiology, Neurology, Psychiatry, and other departments. The center has a longstanding record of innovation in neuroimaging methods and has supported major scientific initiatives, including the Human Connectome Project and the Alzheimer’s Disease Research Center. Its research spans human cognition, functional connectivity, precision neuroimaging, brain development and aging, psychiatric and neurological disorders, brain parcellation, and imaging methodology. The WashU neuroimaging environment includes: A dedicated research MRI facility <https://www.mir.wustl.edu/research/core-resources/mri-facility/> with three Siemens PRISMA 3T scanners and experienced research imaging personnel A Siemens MAGNETOM Terra.X 7T MRI system <https://www.mir.wustl.edu/magazine/magnified-medicine-7t-comes-to-mir/> supporting ultra-high-resolution structural and functional imaging Internationally recognized expertise in functional connectivity, precision neuroimaging, brain mapping, neuroinformatics, and multimodal imaging Strong connections with Psychiatry, Neurology, Neurosurgery, Neuroscience, Psychological & Brain Sciences, Biomedical Engineering, and Computer Science Opportunities for clinical and translational collaboration in autism, schizophrenia, epilepsy, Alzheimer’s disease, and other neurological and psychiatric conditions A broad seminar, training, and professional-development community across WashU Medicine and the university This environment is especially well suited to researchers who want to connect fine-grained neural recordings with whole-brain imaging, behavior, and computational theory. How to Apply Applicants should email the following materials to Dr. Runnan Cao at r.cao(a)wustl.edu <mailto:r.cao@wustl.edu>: A cover letter describing the applicant’s research experience, methodological expertise, scientific interests, career goals, and potential fit with the laboratory A current curriculum vitae Contact information for two professional references; letters are not required with the initial application Please use the subject line: Postdoctoral Application – [Applicant Name].

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Call for Papers: Novel Insights and Approaches in Time-frequency Analysis
by alireza valizadeh Aug. 26, 2026

Aug. 26, 2026

Dear colleagues, I am writing to share a Call for Papers for a new *Nature Collection in Communications Psychology*, *“Novel Insights and Approaches in Time-frequency Analysis,”* which is now open for submissions: https://www.nature.com/collections/ejbgajabei The Collection brings together new methodological and empirical advances in time-frequency analysis, with broad relevance to neuroscience and related fields. We would particularly welcome work introducing novel approaches, methods, or insights into the analysis and interpretation of time-varying neural signals. The Collection is co-edited by *Gabriele Gratton (University of Illinois Urbana-Champaign)* and *Alireza Valizadeh (IASBS)*. If you have research that may be a good fit, we would be very happy to consider your submission. Please see the Collection page for further details on the scope and submission process. Best wishes, Alireza Valizadeh and Gabriele Gratton ------------------------------------------------------Alireza Valizadeh*Professor * Theoretical Neuroscience lab, Institute for Advanced Studies in Basic Sciences (IASBS), Iran *Principal Investigator* Zapata-Briceño Institute of Neuroscience and Human Intelligence, Spain Tel: (+34) 603325584 valizadeh(a)gmail.com valizadeh(a)institutobz.org <valizadeh(a)humanismoyciencis.org> Web: https://www.institutobz.org/ <https://fundacionhumanismoyciencia.org/instituto-zapata-briceno/> http://www.iasbs.ac.ir/~valizade/index.html --------------------------------------------------------

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2 PhD positions for 4 years with focus on "Generative Episodic Memory" with Prof. Laurenz Wiskott, Germany, Bochum
by Laurenz Wiskott Aug. 25, 2026

Aug. 25, 2026

From https://jobs.ruhr-uni-bochum.de/jobposting/854eabcb1786fa8b53af20c255cd9aea… Faculty of Computer Science : Chair: Theory of Neural Systems In order to fill a fixed-term position in part-time (29.87 hours/week = 75%) at the earliest possible date, we are looking for 2 2 Research associates (m/f/x) for 4 years with focus on "Generative Episodic Memory" The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. The research focuses on (i) modeling generative episodic memory in close collaboration with experimental partners, with the goal of modeling experimental data and gaining a deeper understanding of memory processes; (ii) developing a hierarchical model of the visual system that supports a generative memory process. The first project will focus primarily on standard machine learning methods, such as Transformers. The second project aims to develop new methods inspired by the brain. Scope: part-time (75%) Duration: fixed-term, 4 Jahre Start: at the earliest possible date Apply by: 2026-09-14 Your tasks: (i) Further development of an existing system model of generative episodic memory in light of various experimental results. (ii) Development of a brain-inspired hierarchical model of the visual system that supports distributed generative memory processes. Modeling of experimental data. Communication with experimental partners. Publication of results. Teaching assistance equivalent to 3 SWS, in particular conducting a Python course and supervising student/Bachelor/Master projects. Your profile: Requirements: Very good Master degree in mathematics, computer science, engineering, or a related field. Interest in interdisciplinary research in the area of neuroscience. Good programming and mathematical skills. Basic knowledge in machine learning. Advantageous: Experience in modeling. Experience in interdisciplinary projects. Programming skills in Python. We offer: Challenging and varied tasks with a high level of independence Collaboration in a committed and appreciative team Extensive training and professional development opportunities An interesting interdisciplinary environment in the field of theoretical brain research / machine learning. Freedom to shape the project yourself. Infrastructure that facilitates close integration into the institute and the research group. Opportunity to pursue a Ph.D. Further information: The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade E 13 TV-L. Further information can be found at https://oeffentlicher-dienst.info/ (in German). The place of work is Ruhr University Bochum. The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). Applications (CV, transcript of records for MSc and Bsc, letter of motivation) should be sent as a single pdf file. RUB sees itself as a university with an international presence. The campus languages are German and English. Competence in at least one of the two languages and the willingness to learn the other are a prerequisite. RUB provides corresponding free courses for employees. German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF). https://www.daf.ruhr-uni-bochum.de/daf/mitarbeitende/index.html.en The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact wpr(a)rub.de. The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum’s declared aim. The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome. Contact persons for further information: Prof. Dr. Laurenz Wiskott Tel.: +49 234 32 27997 Kathleen Schmidt Tel.: +49 234 32 27051 Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed. We look forward to receiving your application via our online application portal at https://jobs.ruhr-uni-bochum.de/en/jobposting/854eabcb1786fa8b53af20c255cd9… by 2026-09-14. Please make sure to mention the reference number ANR 6046.

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Spectral analysis in neuroscience course for non-specialists
by Axel Hutt Aug. 25, 2026

Aug. 25, 2026

============================================================= Course: Spectral analysis of time series in neuroscience: Fundamental methods ============================================================= The 1-day course addresses fundamental aspects of spectral analysis without diving much into theory, just from a practical point of view. The aim is to provide a fundamental understanding of the different techniques out there to avoid mistakes, artefacts and to be able to choose the best technique for the own data. The course is planned like an interactive workshop, where we discuss analysis techniques and clarify open questions and possibly fill gaps of methodology understanding. The course content addresses non-specialists in mathematical analysis, e.g. researchers with education in neurobiology, medicine or psychology, but of course it is also open to theory-oriented researchers who intend to understand the practical side of spectral analysis in neuroscience. Possible topics to be discussed are, e.g. * Sampling theory * Fourier analysis and its possible artefacts, e.g. aliasing, spectral leakage * Time-frequency analysis (Short-Time Fourier Transform, Wavelet Transform, Hilbert Transform and Empirical Mode Decomposition) and its limits in applications * Synchronisation, coherence and Phase-Amplitude Coupling Event information: * Location: Bernstein Center Freiburg im Breisgau, Großer Hörsaal, Hansastr. 9a , 79104 Freiburg, Germany ( [ https://www.bcf.uni-freiburg.de/ | https://www.bcf.uni-freiburg.de ] ) * Date of course and time: Friday, November 27 2026, 9:15-15:45 * Registration : send an email to Axel Hutt (email address: first name.lastname at inria.fr) * Registration deadline: Monday, November 9 2026 * Registration fee: none, free of charge The course is supported by the Neurowissenschaftliche Gesellschaft ( [ https://www.nwg-info.de/ | https://www.nwg-info.de/ ] ). -- Dr. rer. nat. Axel Hutt Directeur de Recherche Equipe NECTARINE - INRIA Nancy Center at University of Lorraine Equipe MLMS - iCube Strasbourg Bâtiment NextMed , 2, rue Marie Hamm 67000 Strasbourg, France Team webpage: https://www.inria.fr/fr/nectarine

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[Hiring] Multiple positions in Italy: NeuroAI Researcher & Biosignal data collection at Silenzio SRL
by Matteo Ferrante Aug. 25, 2026

Aug. 25, 2026

Dear comp-neuro community, I am writing on behalf of *Silenzio*, a newly founded startup developing a new generation of human–machine interfaces based on non-invasive neural and physiological signals. Our goal is to build systems that can decode human intent more directly than traditional interfaces. We are currently expanding our team and looking for researchers and engineers excited about neural decoding, NeuroAI, biosignal processing, and human–machine interaction. We are hiring for two roles: an *AI Research Scientist* and a *Biosignal Data Collection Specialist*. We believe that as machines become increasingly capable, the bandwidth of human-to-machine communication will become one of the key bottlenecks in how effectively we interact with them. Therefore, we are assembling an exceptionally talented international team and are actively seeking people who are excited to embrace our mission and help us build what we believe will be the future of interfaces. If this resonates with you, we invite you to explore our open roles listed below and consider joining us. If you are interested, please write to us at *jobs(a)silenzio.io <jobs(a)silenzio.io>* with a copy of your CV attached, mentioning *“AI Research Scientist”* or *“Biosignal Data Collection Specialist”* in your application. We would like to fill these positions on a rolling basis, starting in *fall 2026*. *1. AI RESEARCH SCIENTIST* *Job Responsibilities* Your core responsibility will be the modeling and software side of developing a novel human-machine interface device that decodes intent from neural, bio-, and physiological non-invasive signals. Concretely, you will: - Stay current with recent scientific literature in neuroAI - Implement and adapt existing models - Design and implement state-of-the-art decoding (and encoding) models for neural and bio-signals, capable of translating text, actions, and more broadly "intents" into instructions for machines - Reason from first principles to design novel solutions to open problems in human-machine interfaces, including new AI architectures and pipelines - Quality-check data and aggregate diverse datasets, both public and private - Preprocess neural data—multivariate time-series such as EMG, EEG, and invasive neural recordings—and standardize it into common formats - Integrate (or support the integration of) developed models into proprietary data-acquisition pipelines and decoding systems - Monitor and track experiments, and write documentation and scientific reports - Communicate and collaborate closely with the team, brainstorming ideas and implementation paths *Experience* - MSc in computer science, computational neuroscience, bioengineering, physics, mathematics, or a related field (PhD preferred) - A proven track record of designing, building, and shipping deep learning products—e.g., publications at top-tier venues (NeurIPS, ICLR, Nature-family journals, or similar) and/or the development and ideally deployment of AI models in real-world applications - Strong proficiency in Python and AI-oriented libraries such as PyTorch, Lightning, Hugging Face, and scikit-learn - A solid foundation in (bio-)signal processing, algorithms, and software engineering principles - Excellent communication skills, fluency in English, rigor, and the ability to work effectively with an international team Preferred: - Experience with EEG, EMG, or invasive neural recordings, and with data-collection pipelines - Experience designing, developing, or fine-tuning LLMs or ASR models - Experience with self-supervised learning and multi-GPU large scale training of deep learning models Bonus: - Basic web-app development skills, and a good understanding of and taste for design *Compensation* Gross annual salary (RAL) of €50k–€80k, determined by your job-related skills, experience, and relevant education or training. *Position* Full-time (40h/week), fully remote within Italy. Occasional on-site presence or travel is required—for integrating models into production systems and attending conferences and events. *2. BIOSIGNAL DATA COLLECTION SPECIALIST* *Job Responsibilities* We are looking for people to run EEG/EMG data acquisition end-to-end: co-designing experimental protocols, recruiting and welcoming participants, collecting signal data, and preparing it for analysis. We are recruiting across two distinct tracks—engineering-oriented and participant-facing. Apply to the one that fits you best. Concretely, you will: - Maintain and manage the inventory of all lab equipment, including tools and consumables - Co-design experimental paradigms and tasks for data collection - Handle participant recruitment, onboarding, compliance, briefing, and data collection - Set up the recording hardware (EMG, EEG) and manage hardware maintenance and quality control - Run and monitor large-scale experiments *Engineering track:* - Maintain and improve the data-collection backend and frontend, fixing bugs and issues as they arise - Quality-check collected data and perform signal preprocessing Participant-facing track: - Monitor the execution of data collection and provide participant support - Ensure privacy, ethical, and regulatory compliance *Experience* - Prior hands-on experience acquiring EEG and/or EMG data. This is non-negotiable: we need someone who has already sat with participants, placed electrodes, monitored signal quality in real time, and troubleshot acquisition problems as they happen. - Familiarity with the ethical and regulatory aspects of human-subjects research (informed consent, ethics-committee procedures) - Good communication skills and fluency in English *Engineering track:* - MSc or (preferred) PhD in Biomedical Engineering, Computer Science, Computational Neuroscience, or a related field - Experience working with the APIs provided alongside recording hardware (e.g., BrainVision, Biosemi, ANT, OpenBCI, or similar) - Strong Python skills, with the ability to build and maintain acquisition pipelines in code - Comfort with scripting, reading hardware documentation, and debugging and troubleshooting an acquisition setup *Participant-facing track:* - MSc in Medicine, Psychology, Biology, or a related field; the key qualification is hands-on, research-grade data collection - Exceptional communication skills, empathy, and the ability to design comfortable, suitable experimental environments - Experience managing scheduling, communication, and the overall participant experience - Basic familiarity with programming fundamentals and core AI concepts—enough to answer participants' questions about what a study involves *Compensation* Gross annual salary (RAL) of €35k–€50k for full-time, determined by your job-related skills, experience, and relevant education or training. *Position* Full-time or part-time (20–40h/week), on-site in Rome, Italy. Matteo Ferrante, Lead AI scientist at Tether Evo & CEO of Silenzio SRL.

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Job advertisement: Full professor in “Intelligence in Biological and Artificial Systems” (Osnabrück, Germany)
by Prof. Dr. Tim Kietzmann Aug. 24, 2026

Aug. 24, 2026

Dear all, We are hiring a full professor in "Intelligence in Biological and Artificial Systems" at the institute of Cognitive Science in Osnabrück - Germany's first and largest cognitive science program. Please forward this information to any suitable candidates, and reach out if you have any questions. The call is published here: https://www.uni-osnabrueck.de/en/university/working-at-osnabrueck-universit… Some more information is provided here: https://www.linkedin.com/feed/update/urn:li:activity:7497392412361711618/ Best wishes Tim __________________________________ Prof. Dr. rer. nat. Tim C Kietzmann Professor for Machine Learning Institute of Cognitive Science Osnabrück University Osnabrück, Germany Web: https://www.kietzmannlab.org Email: tim.kietzmann(a)uni-osnabrueck.de Twitter: @TimKietzmann

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Postdoc studying episodic memory sampling in Spain
by Raphael Samuel Matthew Kaplan Aug. 24, 2026

Aug. 24, 2026

The Universitat Jaume I's Decision & Memory group in Castelló de la Plana, Spain led by Prof. Raphael Kaplan is recruiting a junior postdoctoral researcher(<2 yrs since completing their PhD) to study how the human brain samples different event details/memories when imagining novel scenarios. The candidate will also test if episodic sampling processes can be optimized for learning interventions. Working with Prof. Kaplan and their team, the candidate will be expected to help collect and analyze behavioral, fMRI, and/or iEEG experimental data that test these questions. In parallel, the empirical results will be used to inform quantitative models investigating the same processes in collaboration with other leading international laboratories. The postdoctoral position involves training in behavioral/neuroimaging experimental design, behavioral and neuroimaging analysis, computational modeling, machine learning, manuscript preparation, and grant writing within a highly interdisciplinary research environment. Prof. Kaplan has an extensive international record of mentorship where they have incorporated career development opportunities both inside(e.g., fellowship writing, PhD/MSc trainee supervision, teaching) and outside of academia(e.g., big data analysis, clinical translation, public sector, user interface(UX) development) for their trainees. In exceptional cases, more senior postdoctoral candidates with an extensive CV and publication record studying related questions will be considered for a position. Required Skills: -Have a PhD in Experimental Psychology, Neuroscience, Cognitive Science, Engineering. or related field -Experience analyzing fMRI, intracranial EEG, or model-informed behavioral data. -Be able to independently carry out research within defined project objectives -Be capable of critical analysis, evaluation, and synthesis of new and complex ideas -Be able to communicate and publish research results effectively to colleagues and broader audiences in English. -Be able to work collaboratively in interdisciplinary research environments -Have good programming skills (e.g., Python) and experience with scientific computing tools Desired skills: -Recently received their PhD(after January 1st, 2025) -First author publications in established cognitive science and neuroscience journals. -Experience designing and publishing memory, learning, or decision making behavioral/neuroimaging research. -Strong quantitative and statistical background -Proficiency speaking Spanish and/or Catalan/Valencian Application details To apply for the position, interested candidates should send a 1-2 paragraph cover letter explaining why they're suited for the position along with a CV including name and contact info for 3 references to Prof. Kaplan at *kaplan(a)uji.es <kaplan(a)uji.es>* by September 15th. Potential candidates should contact Prof. Kaplan if they have any questions or need further information. *Type of contract/Duration of Contract*: Temporary, 2 years(potentially renewable) *Job Status:* Full-time, in office *Hours per week:* 35 *Starting date:* Flexible, ideally between December 2026-March 2027 *Application deadline: *September 15, 2026 *Salary: *30,000€-32,000€/year gross Recent relevant work by our group includes: Group website <https://www.uji.es/serveis/ocit/base/grupsinvestigacio/detall/?urlRedirect=…> Esposito, M., Abdul, L. S., Ghouse, A., Rodríguez Aramendía, M., & Kaplan, R. (2025). Flexible hippocampal representation of abstract boundaries supports memory-guided choice. Nature communications, 16(1), 2377. Rodríguez Aramendía, M., Esposito, M., & Kaplan, R. (2025). Social knowledge about others is anchored to self-knowledge in the hippocampal formation. PLoS Biology, 23(4), e3003050. Ghouse, A., & Kaplan, R. (2026). The influence of social content on episodic memory retrieval. Learning & Memory, 33(2-3), a054180 Ghouse, A., & Kaplan, R. (2025). The Relative Contributions of Traits and Contexts on Social Network Learning. Open Mind, 9, 1506–1527. -- Raphael Kaplan, PhD Associate Professor/Profesor Titular de Universidad(TU) Departament de Psicologia Bàsica, Clínica i Psicobiologia Universitat Jaume I kaplan(a)uji.es

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IOSP 2026 in Leiden: build a community-owned open science system
by Jonathan Starr Aug. 21, 2026

Aug. 21, 2026

The Institute of Open Science Practices <https://iosp.science/> is hosting its 2026 workshops in Leiden from October 12 to 15, and we'd like you in the room. *It's free to attend.* Across the two main working days, the event will establish a participant-owned data storage consortium, publish datasets, code, and knowledge objects to it, create our own algorithms that assess the trust and value of what's published, and assemble community-owned collaboratives that route funding based on their interpretation of that analysis. The result will be a fully functional open science system, owned by the community that builds it, to test, build on, and iterate over the coming months and years. The pieces of open science already exist. It's time they were woven into a coherent system. You can already see the emerging data network here: https://www.iosp.science/datanetwork And the full workshop line-up is here: https://iosp.science/workshops Four ways to participate: 1. *Register.* The room holds 100 people, and last year 425 registered for an 80-person room, so a registration isn't yet a seat and we confirm by email. The form asks whether you'd need travel support; say so if you would. https://www.iosp.science/?signup=participant 2. *Contribute to the community track.* It runs alongside the main track on both working days and is an open space for talks, workshops, panels, and discussions around the four themes. https://www.iosp.science/submit-community-session 3. *Building a tool? Submit it to the showcase.* We'll stress-test it and build on it in Leiden. https://www.iosp.science/?signup=showcase 4. *Join the resilient data workshop.* The workshop that opens IOSP 2026 has you stand up an IPFS node and join a member-owned resilient data consortium. Your node will run either on your own laptop or on a Raspberry Pi kit you take home. There are only 20 seats and 10 take-home Raspberry Pi kits. Earlier sign-ups get first consideration if it fills. Signing up for this workshop also registers you for IOSP 2026. https://www.iosp.science/resilient-data-signup And finally, spread the word. Forward this, post the community-track call, or point a builder at the workshop or showcase. *Hope to see you in Leiden!* Jon, Ellie, and the IOSP organizing team *P.S.* The resilient data consortium needs data worth keeping. If you know a public dataset that could vanish—a shuttered project's archive, a retiring server, data whose funding ended—recommend it and we'll consider adding it to the network. Recommend a dataset: https://www.iosp.science/resilient-data-signup See what the network holds now: https://www.iosp.science/datanetwork

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Tenure-Track Assistant Professor in Psychological Science and Neuroscience
by Yuqing Zhu Aug. 19, 2026

Aug. 19, 2026

Dear colleagues, The Psychological Science and Neuroscience departments at Pomona College in Claremont, CA, USA are seeking candidates with equal dedication to teaching and research in human neuroscience. The successful candidate will teach two courses per semester and have a productive research program involving undergraduate students, where they will examine the neural mechanisms of psychological phenomena. Computational methods are very welcome. Pomona College is a selective liberal arts college with close relationships between undergraduate students and faculty. If you have a passion for student mentorship and inclusive excellence in teaching, this would be a great fit for you. Please see the job ad here: https://academicjobsonline.org/ajo/jobs/32248. The position begins July 2027. Applications will be reviewed beginning October 1, 2026. Thank you for your consideration, Yuqing *** Yuqing Zhu, PhD (she/her) Assistant Professor of Neuroscience Pomona College | Claremont, CA 91711 Lincoln 3109 | Lab Website<https://zhulab.sites.pomona.edu/>

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Postdoctoral and PhD positions in the Laboratory of Theoretical Neuroscience at Rockefeller University
by jzavatoneveth＠rockefeller.edu Aug. 19, 2026

Aug. 19, 2026

Dear all, Several PhD student and postdoc positions are available in my group at The Rockefeller University, starting in January 2027. We are broadly interested in theoretical neuroscience and high-dimensional statistics; see https://jzv.io/ for details on recent projects. We have openings for two or more postdoctoral fellows, as detailed here: https://careers.rockefeller.edu/jobs/2184?lang=en-us. Rockefeller provides strong support for postdoctoral fellows to work and live in New York - including housing and childcare, see https://www.rockefeller.edu/postdocs/info-prospective-postdocs/ for details. Interested prospective graduate students should apply through The David Rockefeller Graduate Program in Bioscience (https://www.rockefeller.edu/education-and-training/graduate-program-in-bios…) which provides full funding and heavily subsided housing for all PhD students. Best regards, Jacob Jacob Zavatone-Veth Laboratory of Theoretical Neuroscience The Rockefeller University New York, New York

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2 Weeks Left – Submit to COMPLEX NETWORKS 2026 Now!
by Felipe Xavier Costa Aug. 19, 2026

Aug. 19, 2026

Dear colleagues, 🕰️ Time is running out! Submit your research to COMPLEX NETWORKS 2026 by September 2 and join an exciting interdisciplinary gathering of scientists working on complex systems, social networks, infrastructure, and more. 👉 https://complexnetworks.org/submission/ Choose between: * Full Papers (12 pages) → Springer Proceedings * Extended Abstracts (4 pages) → Book of Abstracts (with ISBN) 💡 Selected contributions may be invited for journal publication in: * PLOS Complex Systems * Applied Network Science * Entropy, and more 🎤 Keynote Speakers: Alexandra Brintrup, Nitesh Chawla, Kimmo Kaski, Bruno Lepri, Eckehard Scholl 🎓 Tutorials: December 1 | 📅 Conference: December 2–4 in Granada, Spain See you in Granada 🙂 On behalf of COMPLEX NETWORKS 2026 Organizing Committee, Felipe Xavier Costa, PhD Postdoctoral Researcher https://fxcosta-phd.github.io/ Universidade Católica Portuguesa www.cbr.fm.ucp.pt

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Postdoctoral Position in Computational Neuroscience for a Female Researcher
by Fernanda Selingardi Matias Aug. 19, 2026

Aug. 19, 2026

Dear colleagues, A *12-month postdoctoral position, with the possibility of extension*, is available at the *Institute of Physics, Federal University of Alagoas (UFAL), <https://if.ufal.br/en/graduacao/master-phd-in-physics> Brazil*, under the supervision of *Prof. Fernanda Selingardi Matias <https://cienciapioneira.org/en/pesquisador/fernanda-matias-2/>*. The position is funded by the *Brilhante Mente project* (CNPq/MCTI/MMulheres Call No. 31/2023 – *Girls in Exact Sciences, Engineering, and Computing*) and is *open to female researchers holding a PhD*. *The position focuses on the development and application of methods from Statistical Physics, Information Theory, and Complex Systems to neuroscience data*. The researcher will have the opportunity to work at the interface between *statistical physics, complex systems, computational neuroscience, and data analysis*, contributing to the development of quantitative approaches for characterizing brain dynamics. The position also offers opportunities for interaction and collaboration with researchers working in *neuroscience and computational neuroscience within UFAL and the broader Brazilian research community*. *Qualifications: A female researcher holding a PhD in physics, neuroscience, computational neuroscience, applied mathematics, computer science, or a related quantitative field*. Experience with data analysis, computational methods, statistical physics, information theory, neuroscience, or related areas is highly desirable. Candidates with experience in *MEG/EEG analysis or electrophysiological data* are particularly encouraged to apply. *What We Offer* - An *interdisciplinary, collaborative, and diverse research **group: * neurolab.if.ufal <https://www.instagram.com/neurolab.if.ufal/>, bringing together physics, neuroscience, complex systems, and computational methods. - Opportunities to interact with researchers working in *neuroscience and computational neuroscience at UFAL and across Brazil*, as well as to develop interdisciplinary collaborations. - A *monthly stipend of R$ 5,200*. - A *12-month appointment with the possibility of extension*, subject to funding and project progress. - The opportunity to live and work in *Maceió*, a beautiful coastal city in northeastern Brazil, known for its beaches, warm climate, and relatively affordable cost of living. *How to Apply.* Please send an email to *fernanda(a)fis.ufal.br* <fernanda(a)fis.ufal.br>, preferably by *August 31, 2026*, including: - Curriculum vitae; - A brief description of your academic and research background; - A short statement describing your research interests and how they relate to the position. Please feel free to circulate this announcement among researchers who may be interested. We would be very happy to welcome a new researcher to our group and to Maceió! Best regards, *Fernanda Selingardi Matias* Institute of Physics Federal University of Alagoas (UFAL) Brazil

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Several fully funded PhD and postdoc positions in Göttingen, Germany
by Alireza Modirshanechi Aug. 17, 2026

Aug. 17, 2026

Dear all, I am happy to announce that I will start as a junior professor and Emmy Noether awardee at the University of Göttingen (Germany) this October. I am recruiting several fully funded PhD students and postdocs to work at the intersection of cognitive science, computational neuroscience, and machine learning. For this hiring round, I am particularly interested in candidates who want to help us build a unified science of control in humans and machines. Projects may involve behavioral experiments, computational modeling, machine learning theory, or algorithm design. The positions are: * Fully funded at 100% TV-L E13 * Flexible in their start date, preferably before February 2027 * Open for applications on a rolling basis, with the first review round on September 15, 2026 We welcome candidates from cognitive science, psychology, neuroscience, computer science, mathematics, physics, electrical or computer engineering, and related fields. More information about the positions and how to apply: https://modirlab.github.io/open-positions.html More information about our research: https://modirlab.github.io/research.html Please feel free to share this announcement with anyone who may be interested. Best wishes, Alireza --- Dr. Alireza Modirshanechi Incoming Professor at the University of Göttingen https://modirlab.github.io/ Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH) Ingolstädter Landstraße 1, D-85764 Neuherberg, https://www.helmholtz-munich.de Geschäftsführung: Prof. Dr. Dr. h.c. mult. Martin Hrabe de Angelis (komm.), Dr. Michael Frieser | Aufsichtsratsvorsitzender: MinDir Thomas Romes Registergericht: Amtsgericht München HRB 6466 | USt-IdNr. DE 129521671

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Tenured Professor/Associate Professor position @ Calgary/Tier I Canada Research Chair
by Wilten Nicola Aug. 14, 2026

Aug. 14, 2026

The Department of Cell Biology and Anatomy and the Hotchkiss Brain Institute, in the Cumming School of Medicine, University of Calgary, invite applications for a Canada Research Chair Tier 1 in Neuromorphic Systems, at the Associate Professor with Tenure, or Professor with Tenure level. This position guarantees 75% protected time for research. The selected candidate will be nominated for a Tier I Canada Research Chair (CRC) (website <http://www.chairs-chaires.gc.ca/program-programme/index-eng.aspx>). The CRC is tenable for seven years and renewable once. *Link to Position * https://careers.ucalgary.ca/jobs/17995605-canada-research-chair-tier-1-in-n… The human brain is a hyper-efficient computer, capable of rapidly performing the operations necessary for movement, interaction and memory by using biological networks of neurons and other neural cells. Human performance requires that complex computations are done nearly instantaneously using relatively little power. Inspired by biological systems, neuromorphic computational solutions are poised to dramatically increase the types of computational problems we can answer using energy-efficient approaches. Neuromorphic systems consist of a range of new technologies that mimic brain cells and brain function in their design and implementation of computing hardware, software and algorithms. Distinct from current computing approaches, which are powered by discretized mathematical operations running on digital transistor-based solutions, neuromorphic computing promises leaps forward in both computing power and energy efficiency. The Canada Research Chair (CRC) in Neuromorphic Computing Systems will develop and refine biologically inspired hardware, software, and algorithmic solutions that harness the efficiencies of brain-inspired computing to solve complex problems that would otherwise require prohibitive amounts of classical computing power. Qualifications required include a PhD or equivalent, and post-PhD research experience. The selected applicant will be a recognized leader with an established research program in neuromorphic systems, which can include chip and/or device design, algorithms and sensors. The program will be complementary and collaborative with current strengths in computational neuroscience and neuromorphic computing. This position offers excellent opportunities for collaboration with experimental neuroscience, experimental and theoretical physics and biomedical and electrical engineering. The applicant will have evidence of effectiveness in teaching and trainee mentorship at the University level or equivalent. The applicant must also meet the criteria for a Canada Research Chair at the Tier I level. Further information about the Canada Research Chairs Program, including eligibility criteria, can be found on the Government of Canada's CRC website <http://www.chairs-chaires.gc.ca/program-programme/index-eng.aspx>. Applicants at the level of Associate Professor will have evidence of leading a research program as demonstrated by external peer-reviewed national/international grant funding, national/international presentations, and peer-reviewed research publications that have influenced an area of research in their field. Applicants at the level of Professor will have evidence of leading a well-established research program as demonstrated by sustained external peer-reviewed national/international grant funding with evidence of collaboration, national/international presentations, and peer-reviewed research publications that have established and influenced an area of research in their field. The selected applicant will join the Department of Cell Biology and Anatomy and become an active member of the Hotchkiss Brain Institute. The Department and Institute have a well-recognized multi-disciplinary research environment that will support the chosen applicant's ability to direct a collaborative research program. The Department and Institute prioritize trans-disciplinary research initiatives, and the selected applicant's ability to build connections with investigators across the University of Calgary in such initiatives will position them to be successful. The University of Calgary adheres to the principles of the San Francisco Declaration on Research Assessment (DORA) and strives to evaluate research impact responsibly and inclusively by explicitly considering discipline-appropriate methods for demonstrating the quality, significance, and societal impact of a broad range of research contributions. The University of Calgary recognizes that candidates have varying career paths and that career interruptions can be part of an excellent academic record. Candidates are encouraged but not required to provide any relevant information about their experience and/or career interruptions to allow for a fair assessment of their application. Selection committees have been instructed to give careful consideration to, and be sensitive to the impact of career interruptions, when assessing the candidate's research productivity. Interested individuals are encouraged to submit an application online via University of Calgary Careers webpage using the 'Apply Now' link. Please be aware that the application process allows for a maximum of four attachments. Your four application attachments should be organized to contain the following (you are encouraged to merge documents to reduce the number of attachments): - Cover letter - Curriculum vitae - Research interest statement (not to exceed 2 pages) - Leadership statement including equity, diversity and inclusion considerations (not to exceed 2 pages) - The names and contact information for three (3) referees. Reference letters will not be required unless the applicant is short-listed for a visit/interview. Questions about this position may be directed to: Dr. Alex Lohman at alex.lohman(a)ucalgary.ca Posting Date: July 14, 2026 Closing Date: September 25, 2026 The University of Calgary has launched an institution-wide Indigenous Strategy <https://www.ucalgary.ca/indigenous-strategy/> *ii' taa'poh'to'p* committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, is inclusive of Indigenous perspectives in all that we do. *As an equitable and inclusive employer, the University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and professional success while they are here. In particular, we encourage members of the designated groups (women, Indigenous peoples, persons with disabilities, members of visible/racialized minorities, and diverse sexual orientation and gender identities) to apply. To ensure a fair and equitable assessment, we offer accommodation at any stage during the recruitment process to applicants with disabilities. Questions regarding [diversity] EDI at UCalgary can be sent to the **Office of Institutional Commitments* <https://www.ucalgary.ca/provost/strategic-initiatives/office-institutional-…> <https://www.ucalgary.ca/equity-diversity-inclusion>*(**oicteam(a)ucalgary.ca* <oicteam(a)ucalgary.ca>*) and requests for accommodations can be sent to People & Culture (**hrhire(a)ucalgary.ca* <hrhire(a)ucalgary.ca>*).* *All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority. In this connection, at the time of your application, please answer the following question: Are you a Canadian citizen or a permanent resident of Canada? (Yes/No)* The terms and conditions of this appointment, including salary, are governed by the collective agreement between the Faculty Association of the University of Calgary and the Governors of the University of Calgary. Detailed information is available here <https://www.ucalgary.ca/hr/work-compensation/collective-agreements-and-hand…> . For a listing of all academic opportunities at the University of Calgary, view our *Academic Careers website* <http://careers.ucalgary.ca/pages/academic-careers>. For more information about the *Cumming School of Medicine*, click *here* <https://cumming.ucalgary.ca/>. *About the University of Calgary* UCalgary is Canada's entrepreneurial university, located in Canada's most enterprising city. It is a top research university and one of the highest-ranked universities of its age. Founded in 1966, its 36,000 students experience an innovative learning environment, made rich by research, hands-on experiences and entrepreneurial thinking. It is Canada's leader in the creation of start-ups <https://ucalgary.ca/news/ucalgary-top-startup-creator-amongst-research-inst…>. Start something <https://www.ucalgary.ca/startsomething> today at the University of Calgary. For more information, visit ucalgary.ca <https://www.ucalgary.ca/>. The university's commitment to the Indigenous Strategy is evident through the oversight of 18 Elders serving on the Circle of Advisors and the many unit-based circles working towards implementation of the strategy including the Faculty Advisory Circle and teams such as the Office of Indigenous Engagement, the Writing Symbols Lodge, and the Indigenous Research Support Team. Many Indigenous-based events and processes are impacting curriculum, programming and polices at the University of Calgary. *About Calgary, Alberta* Calgary is one of the world's cleanest cities and has been named one of the world's most livable cities for years. Calgary is a city of leaders - in business, community, philanthropy and volunteerism. Calgarians benefit from a growing number of world-class dining and cultural events and enjoy more days of sunshine per year than any other major Canadian city. Calgary is less than an hour's drive from the majestic Rocky Mountains and boasts the most extensive urban pathway and bikeway network in North America. With a growing urban Indigenous population of approximately 50,000 people, there are several Indigenous organizations and many events and ceremonies taking place in the city throughout the year.

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Applications Open for the Patagonian School of Sciences: Dynamics of Large-Scale Neural Systems
by Ines Samengo Aug. 14, 2026

Aug. 14, 2026

Applications are now open for the Patagonian School of Science 2026: Dynamics of Large-Scale Neural Systems, which will take place from December 8–19, 2026, at Brazo Huemul, on the northern shore of Lake Nahuel Huapi in Patagonia, Argentina. The school will bring together 20–25 PhD students and postdocs with international researchers to explore how large populations of neurons give rise to behavior. The faculty includes Edvard Moser (2014 Nobel Laureate), Rafael Yuste, Susanne Schreiber, Carina Curto, Nachum Ulanovsky, Soledad Gonzalo Cogno, Christian Machens, Iván Davidovich, Valeria Della Maggiore, Emilio Kropff, and Inés Samengo. The school will combine lectures, student presentations, workshops, discussions, and one-to-one interactions with faculty. It will take place in a remote setting with limited connectivity, creating an environment where participants can focus on scientific discussion and face-to-face interaction. Applications are open until September 15, 2026. The registration fee is USD 1,200 and includes accommodation and meals for the duration of the school. Financial support may be available for students who do not have sufficient institutional funding. Full information about the program, faculty, and application process is available here: https://ib.edu.ar/patagonian_school_sciences2026/ Enquiries: psos(a)ib.edu.ar

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PhD opportunity "Multi-Scale Comparisons of Patterns of Concerted Activity and Causality in Cortical Neural Activity"
by Michael Denker Aug. 13, 2026

Aug. 13, 2026

Dear all, I am pleased to announce a PhD opportunity in Computational Neuroscience at the Jülich Research Center, Germany titled "Multi-Scale Comparisons of Patterns of Concerted Activity and Causality in Cortical Neural Activity." The project combines methods from computational neuroscience and electrophysiological data analysis. The position is embedded in the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE), which offers a structured PhD program with additional training in data science methods. For the full project description and application procedure, please see the job advertisement: https://recruiting.fz-juelich.de/jobposting/a4f654429eb21bf57d00cb15af3381b… Best regards, Michael Denker -- Dr. Michael Denker Team Leader Data Science in Electro- and Optophysiology Behavioral Neuroscience Institute for Advanced Simulation (IAS-6) Tel: +49 2461 61-9471 Computational and Systems Neuroscience Fax: +49 2461 61-9460 Jülich Research Centrewww.csn.fz-juelich.de 52425 Jülich, Germany --------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------- Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Dr. Stephanie Bauer (stellvertretende Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers --------------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------------

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Faculty Positions in Applied Mathematics
by William L. Kath Aug. 13, 2026

Aug. 13, 2026

Northwestern University invites applications for two full-time faculty positions in Applied Mathematics to begin in September 2027 in the Department of Engineering Sciences and Applied Mathematics (http://www.mccormick.northwestern.edu/applied-math/_)_. One position will be at the assistant or associate level, and the other will be open rank. Candidates in all fields of applied mathematics, science, and engineering with a demonstrated ability to conduct high-impact interdisciplinary research in applied mathematics are encouraged to apply. Northwestern University offers a stimulating environment, encouraging collaborations across departments and schools. The research of our current faculty spans multiple departments in the McCormick School of Engineering, the Weinberg College of Arts and Sciences, and the Feinberg School of Medicine in areas including scientific computing, biological systems, fluid dynamics, complex systems, materials science, energy systems, ML/AI for science, and social systems. Many of the department’s faculty are members of the NSF-Simons National Institute for Theory and Mathematics in Biology. In addition, our faculty actively participate in interdisciplinary centers such as the Northwestern Institute on Complex Systems, the Center for Synthetic Biology, the Northwestern University Interdepartmental Neuroscience Program, the Paula M Trienens Institute for Sustainability and Energy, the Northwestern–Argonne Institute for Scientific and Engineering Excellence, and the Center for Computation and Theory of Soft Materials. We seek candidates whose research has strong connections to applications and who will either substantially strengthen the department's current research activities or significantly broaden their scope, drawing on Northwestern's extensive opportunities for interdisciplinary collaboration. A PhD is required; duties include research and teaching. Submit applications electronically at https://facultyrecruiting.northwestern.edu/apply/MjU2OA==. The application package should include a curriculum vita, a statement of research accomplishments and interests, a statement of teaching experience and philosophy, and 3-4 selected publications. In addition, the applicant should arrange for at least three, but no more than four letters of recommendation. Recommendation letters will be automatically solicited from the letter writers by email after their names are entered in the online application. Questions may be sent to esam-facultysearch(a)northwestern.edu (Subject line: 2027 Faculty Search). Review of applications will begin December 1, 2026 and will continue until the position is filled. Compensation The expected base pay range at the Assistant Professor level is $132,000-$140,000, $145,000-$155,000 for Associate Professor and $160,000-$190,000 for Full Professor. This base pay range is for a nine-month academic appointment, does not include summer salary, and is subject to negotiation. Sponsorship for an H-1B visa may be available for qualified candidates, subject to institutional policies and applicable immigration regulations. Northwestern University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate, including years since terminal degree, training, and field or discipline; departmental budget availability; internal competitors; and external market pay for comparable jobs. At Northwestern, we are proud to provide meaningful and competitive beneﬁts. The available beneﬁts package for this position will include health, dental, vision, disability, and life insurance; paid medical/sick and parental leave; tuition beneﬁts for the employee and dependents; pre-tax and ﬂex spending accounts for commuting and dependent care; generous retirement savings options; and wellness programs. For a comprehensive overview of available beneﬁts, including eligibility details, visit us at Northwestern Benefits <https://www.northwestern.edu/hr/bene%EF%AC%81ts/index.html> to learn more. /Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. View Northwestern’s //non-discrimination statement/ <https://www.northwestern.edu/civil-rights-office/about/statements/non-discr…>/. Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. View //additional information on the accommodations process/ <https://www.northwestern.edu/equal-opportunity-access/accommodation/disabil…>/./

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Applications Open – Workshop on Whole-Brain Models and High-Order Interactions for Brain Health (Mallorca, Spain, 17–20 Nov 2026)
by Rubén Herzog Amunátegui Aug. 13, 2026

Aug. 13, 2026

Dear colleagues, We are pleased to announce the Workshop on Whole-Brain Models and High-Order Interactions for Brain Health, which will take place at the University of the Balearic Islands (UIB), Palma de Mallorca, Spain, from 17 to 20 November 2026. The workshop will bring together PhD students, postdoctoral researchers and early-career scientists interested in understanding how cognition, ageing and disease emerge from large-scale brain dynamics. Participants will be introduced to a range of theoretical and computational frameworks currently shaping systems neuroscience, including whole-brain modelling, machine learning, complex systems approaches and high-order information-theoretic methods. Through lectures, tutorials and interactive discussions, participants will learn how these tools can be used to bridge neural activity, cognition and brain health. Scientific topics include: • Whole-brain computational modelling • High-order interactions and multivariate information theory • Complex systems and network neuroscience • Machine learning in brain ageing and brain health • Neuroimaging and electrophysiology • Mechanistic approaches to cognition and disease A distinctive feature of the workshop is the close interaction between participants and faculty. Throughout the programme, attendees will work in interdisciplinary teams to develop original research proposals and receive direct feedback from internationally recognized researchers. The workshop is designed not only as a training opportunity but also as a platform for building future collaborations across disciplines and institutions. Further information, programme details and application instructions can be found at: https://rubenherzog.github.io/workshop-wbm-hoi-2026/ We would greatly appreciate your help in circulating this announcement among interested students, postdoctoral researchers and colleagues. Kind regards, Workshop Organizing Committee Workshop on Whole-Brain Models and High-Order Interactions for Brain Health University of the Balearic Islands (UIB)

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Postdoc Position in Computational Neuroscience / NeuroAI – University of Bern, Switzerland
by walter.senn＠unibe.ch Aug. 12, 2026

Aug. 12, 2026

Dear Computational Neuroscience colleagues, A postdoctoral position in Computational Neuroscience is available at the University of Bern, Switzerland, at the Department of Physiology,<https://physiologie.unibe.ch/research/research_groups/computational_neurosc…> under the supervision of Walter Senn. The Project. At the intersection of neuroscience and artificial intelligence, this position offers the opportunity to generalize our recent cortical model of multi-head self-attention<https://www.biorxiv.org/content/10.64898/2026.08.06.743205v1> toward in-context learning driven by biologically plausible neuronal error-circuits. Our model provides a mechanistic framework that unifies attention-based learning with gradient-based synaptic plasticity. You will collaborate directly with the team behind The Virtual Brain<https://ebrains.eu/data-tools-services/modelling-simulation/whole-brain-sim…>, applying these network models to study neurological and psychiatric disorders through the lens of disrupted sensory, motor, and cognitive self-attention. Furthermore, your work will integrate with our ongoing research to extend the Neuronal Least-Action Principle<https://elifesciences.org/reviewed-preprints/89674> into long-term temporal processing and spike-based learning paradigms. Ultimately, you will be tackling a core challenge in the field: harnessing online learning in neuronal circuits to both decode human brain function and architect novel AI algorithms. Qualifications. A PhD in computational neuroscience, machine learning, physics, applied mathematics, or a related quantitative field. Strong publication track record and excellent mathematical skills. What We Offer - An interdisciplinary and international research environment at the frontier of neuroscience and AI, featuring next-door interactions with the Mihai Petrovici<https://physiologie.unibe.ch/e1723626/e1723688/e1724187/index_eng.html> and Jean-Pascal Pfister<https://physiologie.unibe.ch/research/research_groups/theoretical_neuroscie…> labs, and genuine project ownership. - Active collaborations across artificial intelligence, experimental neuroscience, and neuromorphic engineering beyond University of Bern. - An internationally competitive Swiss salary, and a beautiful workplace in the UNESCO-listed capital of Switzerland, with nature and mountains within walking distance. - The position starts with a 1-year contract (flexible starting date, ideally around October 1), with the possibility of extensions. How to Apply. Please send a single PDF document containing your CV, a statement of research interests, a publication list, and the contact details of two referees to walter.senn(a)unibe.ch<mailto:walter.senn@unibe.ch> and federico.benitez(a)unibe.ch<mailto:federico.benitez@unibe.ch>. Informal inquiries are welcome. Applications will be reviewed upon arrival, latest by September 6, 2026; early applications are highly encouraged. Best regards, Walter Department of Physiology, University of Bern

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Start date extended! Joint junior faculty position in Computational Neuroscience
by Allison Ong Aug. 11, 2026

Aug. 11, 2026

The Graduate Center of the City University of New York (CUNY), and the Center for Computational Neuroscience at the Flatiron Institute, invite applications for a joint position, with start date of August 2026. We seek an innovative scholar whose research integrates computational approaches with empirical neuroscience to investigate the mechanisms underlying cognition. The ideal candidate will have a strong record of research in perception, planning, decision-making, memory, or animal communication and/or human language, and a doctoral degree in Physics, Math, Engineering, Neuroscience, Cognitive Science, Psychology, or Computer Science. The CUNY appointment will be in the M.S. Program in Cognitive Neuroscience. Responsibilities include research, teaching, mentoring, and service. The candidate is expected to generate an active, externally funded research program, and to participate in graduate teaching and research training. Teaching duties may include courses in computational methods and advanced courses in neuroscience. Candidates should demonstrate a commitment to interdisciplinary collaboration and to mentoring graduate students in a diverse and inclusive academic environment. The Flatiron appointment will be a Visiting Scholar position in the Center for Computational Neuroscience (CCN). **The start date has been extended to Jan 2027.** Applications must be submitted to both positions - these can be identical, although applicants may wish to highlight specific aspects of their experience or interests in the cover later for each submission. https://cuny .jobs/new-york-ny/assistant-professor-ms-in-cognitive-neuroscience/51674D0A749E42818AB89D06270999B5/job/ <https://urldefense.com/v3/__https://cuny.jobs/new-york-ny/assistant-profess…> https://www.simonsfoundation.org/flatiron/careers/?tab=job-openings&center=… <https://urldefense.com/v3/__https://www.simonsfoundation.org/flatiron/caree…> -- *Eero Simoncelli* Scientific Director, Center for Computational Neuroscience Flatiron Institute, Simons Foundation

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Postdoctoral Opportunity Zukunftskolleg
by Ahmed El Hady Aug. 10, 2026

Aug. 10, 2026

*_Four 2-year Postdoctoral Fellowships at the Zukunftskolleg_* (Full-time, E 13 TV-L) *Reference No: 2026/138 The preferred start date is April 1st, 2027. Conditionally on the submission of an external grant proposal, the position may be extended for an additional year. * The University of Konstanz is a dynamic and internationally successful research university with approximately 10,000 students. The campus university’s architecture promotes interdisciplinary cooperation and a sense of community among researchers, lecturers and students. The University has been continuously funded by the German Excellence Strategy since 2006. The /Zukunftskolleg/ is an Institute for Advanced Study for early career postdoctoral researchers in the natural sciences, humanities and social sciences. The /Zukunftskolleg offers postdoctoral researchers/ Independence for their research, interdisciplinary and intergenerational exchange as well as intra-university integration and international contacts. The working language is English. Each fellow is a member of both a university department and the Zukunftskolleg. Additionally, fellows of the Zukunftskolleg can be affiliated to the Cluster of Excellence at the University of Konstanz: *"Politics of Inequality <https://www.exc.uni-konstanz.de/en/inequality/>"* or "*Centre for the Advanced Study of Collective Behaviour*" <https://www.exc.uni-konstanz.de/collective-behaviour/about-us/open-position…>. The target group consists of excellent early career postdoctoral researchers who demonstrate scientific excellence, research independence, and a strong capacity for teamwork, indicating high potential for a successful academic career The applications are evaluated in a two-stage process by international reviewers. The candidates will be informed about the decision around mid-February 2027. /I am happy to discuss potential projects, for those interested to apply, on the interface of computational sciences, theoretical physics and collective behavior and application of these approaches to the myriad of collective behavior data available in Konstanz. /Please drop an email to ahmed.el-hady(a)uni-konstanz.de All details can be found here: link: https://stellen.uni-konstanz.de/jobposting/47ea117d40ac0aa2409ab5ecf4ed18ee… All the best regards, Ahmed Dr. Ahmed El Hady Research Group leader Centre for Advanced Study of Collective Behavior University of Konstanz Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 ,Postbox 687  

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PostDoc - development of visual object representations, EEG/fMRI, University of Regensburg, Germany
by Moritz Köster Aug. 8, 2026

Aug. 8, 2026

POSTDOC (3 years, full time, no teaching) Institute of Psychology, University of Regensburg, Germany The group of Moritz Köster at the Institute of Psychology studies the neurocognitive foundations of early brain development. Within a project funded by the German Research Foundation (DFG), we are looking for a postdoctoral researcher to join our group. The project investigates the functional role of rhythmic brain activity in early development, following the trajectory from integrating novel information and building visual object representations in infancy towards efficient processing in mature cortical networks. We address this across age groups, using newly developed learning paradigms and by relating EEG to fMRI data through representational similarity analyses. Within the project we collaborate with Rhodri Cusack (Trinity College Dublin, infant awake fMRI) and Radoslaw M. Cichy (Freie Universitaet Berlin, EEG/fMRI fusion). Work on the analyses can start immediately on the basis of first datasets, and there is ample room to bring in your own ideas and research questions. Your role: - Analysis of EEG and fMRI datasets on the development of visual representations computational neuroscience, in infants, children and adults - Supervision of data assessments - Publishing in international peer-reviewed journals and presenting at conferences - Opportunity to co-supervise PhD students and to contribute to grant proposals Requirements: - Excellent PhD in psychology, cognitive science, neuroscience, computational neuroscience, biology or a related discipline (completed or submitted) - Very good analytic and programming skills (MATLAB, Python) - Experience with M/EEG and/or fMRI analysis, ideally including time-frequency analyses, multivariate methods and computational modelling - Publications in (developmental) cognitive neuroscience - Excellent command of written and spoken English; German is welcome but not required We offer a three-year full-time position with no teaching load, paid according to the German public sector scale TV-L E 13, considerable freedom to pursue your own questions, an international and collaborative environment, and collaborations on state-of-the-art assessment methods in infancy research - high-density EEG, fMRI, OPM-MEG and VR. Regensburg is a UNESCO World Heritage city in Bavaria with a compact campus university and a high quality of living. For further information and informal inquiries, please contact moritz.koester(a)ur.de. To apply, please send a single PDF (CV including publication list, a brief motivation letter, certificates, and the names and contact details of three academic referees) to sekretariat.koester(a)ur.de by September 15, 2026. The University of Regensburg explicitly encourages applications from qualified women. In case of essentially similar suitability, applicants with severe disabilities will be preferentially selected. Here <https://karriere.uni-regensburg.de/jobposting/7e9b5fc8c44d1827c69d372ba8fb3…> is a link to the original job advert --- Prof. Dr. Dr. Moritz Koester Institute of Psychology, University of Regensburg moritz.koester(a)ur.de

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Open Research Positions at NeuroAI start-up Natural Intelligence
by Natural Intelligence Aug. 6, 2026

Aug. 6, 2026

Dear all, *Natural Intelligence (NISYS GmbH)* is a deep-tech startup at the intersection of neuroscience and machine learning, founded by *Prof. Wolf Singer* and *Dr. Felix Effenberger*. We translate cutting-edge neuroscientific insight into robust, efficient next-gen AI: oscillatory recurrent architectures, self-organization, and learning rules that go beyond backpropagation, implemented in novel analog hardware platforms. We've closed a multi-million euro seed round, securing our funding for the coming years, and are currently building out our core R&D team. *Open roles:* full-time, on-site (Frankfurt), initially 3 years, several openings each: • *Research Lead* - own a research direction and lead a group of scientists. • *Senior Research Scientist* - design and test novel recurrent architectures from biological principles. The call for applications will remain open until early September 2026. We expect to review applications after the call closes and aim to get back to candidates in mid to late September. Full job descriptions at: www.nisys.ai Send applications and questions to hello(a)nisys.ai. Please pass this on to anyone who you think could be a good fit. -- Dr. André Ferreira Castro Head of Research Operations Natural Intelligence (NISYS GmbH)

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Deadline Extended to August 12 – Call for Extended Abstracts – WWIN 2026 Workshop @ SAB 2026
by Mehdi Khamassi Aug. 6, 2026

Aug. 6, 2026

(Apologies for cross-posting) Dear colleagues, We are pleased to announce that the submission deadline for the first international workshop *“Wanting What is Needed: From Homeostatic Control to Adaptive Behavior”*has been extended to *August 12, 2026*. The workshop will be held on October 19 in Berlin, Germany, as part of The 18th International Conference on the Simulation of Adaptive Behavior (SAB 2026). Workshop website:https://wwin-workshop.github.io/sab2026 <https://wwin-workshop.github.io/sab2026>Keywords (including but not limited to): internal states, homeostasis, allostasis, reinforcement learning, decision making, robotics, adaptive behavior ====================================== Aims of the workshop ====================================== Classical reinforcement learning and cognitive models often begin with externally specified rewards. Biological organisms, by contrast, are autonomous learning agents whose behavior is constrained by the need to sustain their own viability. This workshop asks how internal physiological regulation can ground decision-making, value formation, and motivated behavior. We aim to foster a shared interdisciplinary conversation across machine learning, artificial intelligence, robotics, neuroscience, biology, physiology, ethology, and control theory. The goal is to clarify how homeostatic and allostatic regulation can contribute to adaptive behavior in both biological organisms and artificial agents. ====================================== Invited speakers ====================================== * Lilian A. Weber (Osnabrück University) * Lola Cañamero (CY Cergy Paris University) * Antonio Damasio (University of Southern California, online) ====================================== Extended abstracts for lightning talks and posters ====================================== * Extended abstracts of up to 3 pages (main text) * References, appendices, and acknowledgements are not included in this limit * Springer LNCS style (template available on the workshop website) ====================================== Important dates ====================================== * Extended Abstract Submission Deadline: August 12, 2026 * Notification of Acceptance: August 19, 2026 * Workshop Date: October 19, 2026 (afternoon) We welcome contributions from researchers working across the biological and artificial sciences and look forward to receiving your submissions. Best regards, Mehdi Khamassi CNRS / Sorbonne Université On behalf of the organizing committee: Naoto Yoshida — Kyoto University Ismael Freire — Sorbonne Université Boris Gutkin — École Normale Supérieure Henning Sprekeler — Technical University of Berlin Louis L’Haridon — ENSEA / CNRS Lola Cañamero — CY Cergy Paris University Mehdi Khamassi — CNRS / Sorbonne Université -- Mehdi Khamassi, PhD, HDR Research director (DR2), Centre National de la Recherche Scientifique Institute of Intelligent Systems and Robotics, Sorbonne Université ISIR - BC 173, 4 place Jussieu, 75005 Paris, France phone: +33 6 50 76 44 92 email:mehdi.khamassi@sorbonne-universite.fr https://pages2.isir.upmc.fr/mkhamassi/ Co-director of the master's program in cognitive science (https://cog-sup.fr) Sorbonne Université / Université Paris Cité Visiting Researcher at the Institute of Communication and Computer Systems National Technical University of Athens, Greece https://robotics.ntua.gr/people/

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Call for Papers and Demos: NeurIPS 2026 Workshop on Foundation Models for the Brain and Body
by Nanda Harishankar Krishna Aug. 5, 2026

Aug. 5, 2026

We are pleased to announce the second edition of the “Foundation Models for the Brain and Body <https://brainbodyfm-workshop.github.io/>” workshop at NeurIPS 2026 in Sydney, Australia. The workshop brings together researchers at the intersection of biosignals, neuroscience, machine learning, and embodied intelligence. We invite submissions of short papers on novel research in neuroscience, biosignal analysis, machine learning, and embodied AI, with a focus on foundation models and representation learning for neural, physiological, and behavioral data. We also invite interactive demo proposals showcasing novel methods, devices, systems, or applications. We broadly define biosignals as any temporal signal directly or indirectly generated by the brain or body. This includes neural recordings such as EEG, MEG, and multi-electrode arrays; physiological signals such as heart rate, respiration, and EMG; and behavioral signals such as pose, gaze, and movement. Submissions may focus on methods, applications, or theoretical insights that advance our understanding and modeling of neural, physiological, and behavioral signals in humans and animals. We particularly encourage work on scalable foundation models that generalize across tasks, subjects, modalities, or domains. Relevant topics include, but are not limited to: • Large-scale pretraining on neural or physiological signals • Scaling laws for biosignal foundation models • Brain-computer interfaces and neural decoding • Transfer learning across recording modalities • Cross-subject and cross-task generalization • Few-shot, zero-shot, and continual learning • Multimodal integration of biosignals • Wearable technology and real-world deployment • Modeling behavioral signals such as pose, gaze, and movement • Foundation models for movement, motor control, and EMG • Embodied intelligence and sensorimotor representation learning • Closed-loop and interactive systems, including BCI control and assistive robotics • Scaling techniques from robotics and control applied to biosignal modeling • Applications to health and clinical diagnosis • Interpretability of biosignal representations • Synthetic data generation and augmentation • Human-AI collaboration for signal interpretation and labeling • Open datasets, benchmarks, and model evaluation • Evaluation protocols and standardized benchmarks across modalities • Reproducibility and standardized reporting *Important Dates (AoE)* • Paper Submission Deadline: *September 4, 2026* • Demo Submission Deadline: *September 19, 2026* • Paper Author Notification: September 29, 2026 • Workshop Date: December 11 or 12, 2026, in Sydney, Australia Stay tuned for announcements about our invited speakers, panelists, and workshop schedule. For submission details and more information, please visit: https://brainbodyfm-workshop.github.io/

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Wu Tsai Institute Postdoctoral Fellowships for interdisciplinary and computational neuroscience and cognitive science
by Guerrero-Medina, Giovanna Aug. 4, 2026

Aug. 4, 2026

The Wu Tsai Institute Postdoctoral Fellowships<https://wti.yale.edu/initiatives/postdoctoral> are open to applications! We welcome early-career scientists interested in interdisciplinary research to advance fundamental understanding of cognition. The program offers a generous salary ($80,000) for up to 3 years, discretionary funds and funding opportunities, access to cutting-edge facilities, protected time for professional development, structured mentoring, and a welcoming and inclusive community of trainees. International applicants are welcome. Applicants may propose to be co-mentored by Wu Tsai Faculty Members from different disciplines; work with a single mentor while transitioning to a new field; or propose self-directed computational or theoretical projects with flexible mentoring arrangements. The deadline for applications is October 1st. Candidates can find more information and application instructions here: https://wti.yale.edu/initiatives/postdoctoral Giovanna Guerrero-Medina, PhD [A button for name playback in email signature] <https://www.name-coach.com/giovanna-guerrero-medina> She/Her/Ella Asst. Director for Professional Development & Community Wu Tsai Institute<http://wti.yale.edu/> Yale University

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Posdoctoral Position on Neuro-AI, Computational Neuroscience (CN) at the Marie Curie Chair in CN
by Carmen Paz Suárez Araujo Aug. 2, 2026

Aug. 2, 2026

Dear Colleagues, I’m writing you to share an opportunity of a postdoctoral position. The Marie Curie Chair in Computational Neuroscience at the Institute of Cybernetics, Enterprise and Society (Universidad de Las Palmas de Gran Canaria) is inviting applications for a postdoctoral position. This is a 14 month non-tenure-track position. Duties will involve research and supervision activities in the following areas: 1) neuro-AI; 2) determination of new functional biomarkers for Alzheimer's disease (AD) and other cortical dementias; and 3) intelligent decision systems for the diagnosis and prognosis of AD. The Marie Curie Chair is seeking outstanding candidates who have received a PhD in Computer Engineering, Electronic and Telecommunications Engineering, Biomedical Engineering, Bioengineering, Physics, or a related discipline. The probable start date will be September 2026 Candidates will be graded on their merits up to a maximum of 10 points (professional experience, very good scientific merits, good knowledge on the position topics and language proficiency, essentially English). Certificates to justify these merits are mandatory. A job interview will be held with the three candidates who are ranked highest. To apply, please visit https://fpctserver.upe.ulpgc.es/convocatorias/inscripcion.php?idrec=606 Best Regards Prof. Dr. Carmen Paz Suárez-Araujo Head of the Marie Curie Chair in Computational Neuroscience Universidad de Las Palmas de Gran Canaria, Spain CARMEN PAZ SUAREZ ARAUJO Catedrática de Universidad (Full Professor) Departamento de Informática y Sistemas, IUCES Universidad de Las Palmas de Gran Canaria tel. +34629822298 carmenpaz.suarez(a)ulpgc.es www.ulpgc.es ORCID 0000-0002-8826-0899 EDIFICIO DE INFORMÁTICA, OFFICE 2-5 CAMPUS UNIVERSITARIO DE TAFIRA S/N 35017, LAS PALMAS DE GC [Universidad de Las Palmas de Gran Canaria]

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PhD opportunity in Computational Neuroscience at Jülich Research Center for US candidates
by Sacha van Albada July 30, 2026

July 30, 2026

Dear all, We have a available a PhD opportunity in Computational Neuroscience at the Jülich Research Center, Germany, for candidates from the USA contingent on a successful grant application. In the context of an existing CRCNS (Collaborative Research in Computational Neuroscience) project between the Allen Institute (PI: Stefan Mihalas) and the Jülich Research Center (PIs: Markus Diesmann and Sacha van Albada), the German ministry BMFTR offers candidates from the USA an opportunity for a ‘Hop-On Fellowship’ to do a PhD at the Jülich Research Center. This entails a grant proposal written by the German partner along with resumes and letters of intent from candidates who have studied or done research in the USA at least for the past three years. The CRCNS project concerns the development of multi-area models of the mouse thalamocortical visual system, bringing together biological fidelity and visual function. To this end, the rich anatomical and physiological datasets from the Allen Institute are combined with expertise on modeling large-scale spiking neural network models from the Jülich partner, and functional properties are incorporated using advanced methods for training neural networks. The closely related PhD project (contingent upon the awarding of the Hop-On Fellowship) will take a top-down approach to enhance the biological realism of a functional model of the mouse visual cortex and gain insight into relationships between cortical structure, dynamics, and function. The candidate would be embedded in the Institute for Advanced Simulation (IAS-6, Computational and Systems Neuroscience, https://www.fz-juelich.de/en/ias/ias-6) at the Jülich Research Center and would have the opportunity to work together with the PIs and postdocs in the USA and Germany. The fellowship covers not only the salary of the PhD candidate but also travel costs to and from Germany. During the PhD, it is possible to work from the USA for up to five months in total (max. two months a year). A contribution to childcare costs in Germany of up to 150 euro a month is also available. To apply, please send your CV, copies of your Bachelor’s and Master’s transcripts, and a short motivation letter to Prof. Sacha van Albada, s.van.albada(a)fz-juelich.de<mailto:s.van.albada@fz-juelich.de> by August 10th, 2026. -- Prof. Sacha Jennifer van Albada Institute for Advanced Simulation (IAS-6) Computational and Systems Neuroscience Jülich Research Centre Jülich, Germany Computational Neuroanatomy Institute of Zoology University of Cologne Cologne, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Dr. Stephanie Bauer (stellv. Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Call for Papers: Dendritic Influence on Neuronal Input-Output Transformation Dynamics
by Craig Kelley July 27, 2026

July 27, 2026

We are currently seeking submissions for a *Frontiers in Cellular Neuroscience Research Topic *titled *Dendritic Influence on Neuronal Input-Output Transformation Dynamics*. 1. Manuscript submission deadline is *30 December 2026*. 2. The goal of this Research Topic is to delve deeper into the complex dynamics of neurons, specifically focusing on the properties and functions of dendrites. The aim is to understand how the morphology and biophysical properties of dendrites influence the transformation of synaptic input into action potential output. This includes investigating the impact of dendritic location, timing, strength, and presynaptic origin on this transformation, as well as the role of different input populations in driving observed action potentials. The research also aims to explore how variability in synaptic input and biophysical and morphological properties affects neuronal responses, and how these factors contribute to the overall function and performance of the neural network. To gather further insights into the complex dynamics of neurons and the role of dendrites, we welcome articles addressing, but not limited to, the following themes: • The impact of dendritic location, timing, strength, and presynaptic origin on the transformation of synaptic input into action potential output. • The role of different input populations in driving observed action potentials. • The influence of synaptic input from various sources on neuronal responses. • The effect of variability in synaptic input and biophysical and morphological properties on neuronal responses. • The contribution of these factors to the overall function and performance of the neural network. • The development and application of computational models to study these dynamics and properties. • Linking dendritic dynamics to behavior. • The role of energetics/metabolism in regulating/constraining dendritic function. For more information, please visit https://www.frontiersin.org/research-topics/80722/dendritic-influence-on-ne… .

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Postdoc opportunity at Northwestern University Medical School campus in Chicago USA
by Christina Zelano July 26, 2026

July 26, 2026

Northwestern University’s Human Olfaction Lab is seeking a postdoctoral scholar to join their research team. The lab studies systems neuroscience, including the human olfactory system, cognition and respiration. The lab uses a wide range of human neuroscience methods, including functional neuroimaging, diffusion tensor imaging, intracranial EEG, electrical stimulation, and a new intranasal recording method that we recently developed that allows for high-precision electrophysiological recordings from the human olfactory bulb in healthy volunteers, and fast-scan-cyclic voltammetry based electrochemistry recordings from the olfactory epithelium. The lab is conducting experiments in healthy normosmic individuals, and also in disease populations including Anosmia, Alzheimer's, Parkinson’s and epilepsy. We are seeking an outstanding and highly motivated postdoc for this position. Principal Accountabilities 1. To conduct and analyze data from experiments on olfaction, respiration, cognition and or disease. 2. To develop new ideas, research methodologies, and analytic approaches to our lab’s research programs. 3. To help write grants and compete for funding. 4. To help write and contribute to publications resulting from research in the lab. Minimum Qualifications/Competencies: * Interest in research on olfaction and/or respiration and/or how these systems are affected in disease. * Computational skills (machine learning, RSA, pattern analysis, k-means clustering, modeling, etc) in analyzing neural data, preferably across a range of techniques including electrophysiology and neuroimaging. * Evidence of first-author peer-reviewed publications. * Excellent communication and writing skills Preferred Qualifications/Competencies: * Experience in human neuroscience research. * Experience in research and clinical training related to neurological conditions are preferred, but not a necessity. * Skillsets on computational, AI (broadly defined), and data science analytic approaches are an advantage. To Apply: Email a cover letter, cv, and 2 references contact info to c-zelano(a)northwestern.edu

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Data Aide for NIH Funded Neuroimaging & AI Research at Stanford University
by daelsaid＠stanford.edu July 23, 2026

July 23, 2026

Description of position: We are seeking a Data Aide 2 to join the laboratory of Dr. Supekar and support data organization, database management, and neuroimaging data preparation across multiple NIH-funded projects at the intersection of neuroscience, artificial intelligence, and precision psychiatry. The Supekar lab integrates neuroscience and artificial intelligence (AI) to advance understanding of brain function and the mechanisms underlying neuropsychiatric disorders. Through rigorous research and clinically oriented translation, we develop evidence-based innovations to improve diagnosis, prognosis, and treatment, with the ultimate goal of improving outcomes for individuals affected by mental illness. The Data Aide will work closely with and under the direct oversight of Dr. Supekar on supporting the organization, management, and preparation of large-scale neuroimaging, clinical, cognitive, and molecular datasets focused on autism and schizophrenia-spectrum disorders. This is a full-time, in-person, computationally oriented role centered on data organization, database management, and neuroimaging data preparation. Core responsibilities include maintaining and managing REDCap databases, organizing and structuring neuroimaging data files for use in analysis, and ensuring data accuracy, completeness, and consistency across studies. The position offers hands-on experience supporting research at the intersection of neuroimaging, data science, and precision psychiatry, with close mentorship from the PI. Required Qualifications: • High school diploma, G.E.D., or equivalent and two years of relevant experience, or a combination of education and relevant experience. • Strong clerical, interpersonal, and basic organizational skills. • Good computer skills. • Ability to exercise judgment and employ basic reasoning skills. • Strong attention to detail. • Experience with REDCap or similar data management/database systems is desirable but not required. • Familiarity with programming languages such as Python, R, or MATLAB for data organization and preparation tasks is desirable but not required. • Interest in or familiarity with neuroimaging data and file structures is desirable but not required. Minimum Education and Experience Required: High school diploma, G.E.D., or equivalent and two years of relevant experience, or a combination of education and relevant experience. Required Application Materials: • Brief cover letter describing relevant experience, interest in the position, and fit with the lab • Current resume or CV • Contact information for two or three references Please email application materials as a single PDF to supekarlab(a)stanford.edu with the subject line: Data Aide. For additional information about the position, please contact Dr. Supekar at the same email address. Applications will be reviewed on a rolling basis until the position is filled. The anticipated start date is flexible. Lab website: https://med.stanford.edu/supekar-lab.html

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Postdoc position in computational modeling and neuro-prosthetics in Prague
by Jan Antolik July 21, 2026

July 21, 2026

Dear Colleagues, We're pleased to announce a postdoctoral position within the Computational Systems Neuroscience Group (CSNG) at Charles University, Prague, focusing on computational neuroscience and neuro-prosthetic system design. CSNG is an international, interdisciplinary research group that explores the intricacies of the visual system, sensory coding, and neuro-prosthetic solutions. To do this, we use a range of computational approaches spanning large-scale biologically detailed spiking network models, firing-rate models of development, and modern machine learning techniques. We are a diverse team of computer scientists, physicists, mathematicians, and engineers dedicated to understanding visual perception and its restoration via neuro-prosthetic devices. Multiple project topics are available (the exact topic can be adjusted to the interest and background of the applicant): - Modeling electrical stimulation in a spiking model of the primary visual cortex. The goal of this project is to understand how intra-cortical stimulation engages the neural code of the visual cortex. - Deep-neural networks in visual neuroscience and possibly its applications for understanding of visual perception under artificial cortical stimulation. - Study of cortical dynamics of spontaneous or artificially evoked activity in the visual cortex. - Biologically detailed spiking large-scale models of early visual cortical pathway - from Retina to V4. Requirements: Strong computational and analytical skills. Experience in computational modeling, spiking neural networks, machine learning or understanding of electric field propagation in biological mediums are of great advantage but not all strictly required. Duration: 1 year contract with possibility of extension. The position is fully funded at least until the end of 2028. Funding: Fully funded Starting date: now Teaching duties: None Monthly salary (gross): ~2900€ To apply, send CV and cover letter explaining your interest and how your skills align with our project to: antolik(a)ksvi.mff.cuni.cz

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Postdoc/PhD positions in computational and theoretical neuroscience || University of Texas at Dallas
by Lyle Muller July 21, 2026

July 21, 2026

Postdoctoral and graduate research positions are available in the Muller Lab (http://mullerlab.io<http://mullerlab.io/>), starting August 2026 at the University of Texas at Dallas. Research will span computational analyses of neural data and applied mathematics to understand computation in neural networks. Researchers will collaborate with multi-disciplinary teams on traveling waves in neural systems (link<https://www.nature.com/articles/s41467-023-39076-2>), analyses of spikes in large neural populations (link<https://arxiv.org/abs/2412.03804>), and spatiotemporal computation in recurrent neural networks (link<https://www.nature.com/articles/s42005-024-01728-0>). The lab also has an ongoing presence at the Fields Institute through the Lab for Network Computation<http://www.fields.utoronto.ca/activities/fields-lab-network-computation>. Recent publications from the lab include a review on traveling waves in neural systems<https://authors.elsevier.com/c/1nTl93BtfHGow9>, focusing on circuit mechanisms for spatiotemporal organization of spiking and synaptic activity in single regions of cortex, and how traveling waves can generate computations in artificial neural networks modeling these systems. Prior experience with scientific computing, signal analysis, and applied mathematics is preferred. UT Dallas offers an outstanding research environment, with strong programs in systems and computational neuroscience. Candidates can write to lyle.muller(a)utdallas.edu<mailto:lyle.muller@utdallas.edu> with a CV and short statement of interest. -- Lyle Muller http://mullerlab.ca

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Systems Vision Science (SVS) Virtual Symposium July 31 – Program available, register (free) to obtain zoom link
by Pavlovic, Maria July 21, 2026

July 21, 2026

Systems Vision Science <https://www.lizhaoping.org/Systems-Vision-Science.html> Virtual Symposium: July 31st, 2026, 02.00 – 06.00 pm (german time) The program is now available here: https://summerschool.lizhaoping.org/symposium-2026/ To participate via zoom, please register <https://docs.google.com/forms/d/e/1FAIpQLSfCIzbDUeswiWyB39JE9VX7Jj-DYJ5ajh8…> FOR FREE. Registration is accepted until space is filled! -------------------------------- Keynote, invited, and contributed speakers of the Systems Vision Science Symposium include: 14:00-14:30 Wu Li: „Corticocortical Feedback as a Unifying Mechanism for Visual Perception and Learning” 14:30-14:45 Daniel Anthes: „The illusory simplicity of the feedforward sweep” 14:45-15:00 Tatia Buidze: „Outcome history shapes implicit perceptual learning without awareness of the eye of origin“ 15:00-15:15 Pinglei Bao: „Triple-N Dataset: Linking Single Neurons, Deep Neural Networks, and Natural Vision” 15:15-15:30 Lisa Kroell: „Predictive foveal processing in active vision“ 15:30-15:45 Winrich Freiwald: „From objects to action symbols“ 15:45-16:00 Virtual Coffee Break 16:00-16:15 Marlene Behrmann: „Understanding human vision through studying its breakdown“ 16:15-16:30 Li Zhaoping: „Ventral stream feedback to V1 is focused on the central visual field: Anatomical evidence for the looking-and-seeing framework of vision“ 16:30-16:45 Marisa Carrasco: „Dissecting Covert Attention: A Cortical Double Dissociation“ 16:45-17:00 Bruno Rossion: „The cellular basis of the human face inversion effect“ 17:00-17:15 Zygmunt Pizlo: „Mathematical foundations of Gestalt psychophysics.“ 17:15-17:30 Shahin Nasr: „Mesoscale developmental rivalry in human extrastriate visual cortex“ 17:30-18:00 Patrick Cavanagh: „Using Illusions and Art to Understand the Visual Brain“ -------------------------------- The zoom link for joining the symposium will be sent to the registrants. Please direct inquiries to <mailto:svs.summerschool@tue.mpg.de> svs.summerschool(a)tue.mpg.de. -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Vladislav Aksiotis Kai Rothe Max-Planck-Institute for Biological Cybernetics University of Tübingen

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3 Fully Funded PhD Positions in AI/ML & Computational Brain Health @ Interdisciplinary Transformation University (IT:U) Austria
by Jie Mei July 20, 2026

July 20, 2026

The newly established Interdisciplinary Transformation University (IT:U) in Linz, Austria, invites applications for 3 fully funded PhD positions within our PhD Program in Interdisciplinary Computing. The contract can be extended to 4 years to support full project completion. We are seeking highly motivated researchers with strong mathematical and technical backgrounds to develop cutting-edge AI/ML models specifically targeted at computational brain health, neurodegenerative diseases, and disorders of consciousness. The Positions & Projects 1 Position – PROCEED: Predicting Recovery Of Consciousness via Evidence-based Evaluation and Diagnosis. PIs: Dr. Jie Mei (IT:U) & Dr. Spiros Denaxas (IT:U / UCL). 2 Positions – INDEED-PD: Integration of Novel Biomarkers for Detection, Evaluation of Early Signatures, and Developmental Insights of Parkinson’s Disease. PIs: Dr. Jie Mei (IT:U), Dr. Daniel Klotz (IT:U), and Dr. Erich Kobler (Institute for Machine Learning, JKU). Key Responsibilities * Design and implement AI/ML architectures optimized for computer vision, neural signal processing, and time-series data. * Create experimental setups to evaluate computational methods against strong baselines. * Work closely across a network of computer scientists and clinicians (IT:U, JKU, and Kepler University Hospital). * Publish and present findings at top-tier international scientific AI/ML and neuroscience venues. What We Are Looking For * A master's degree in a highly quantitative discipline: Computer Science, Mathematics, Physics, Electrical Engineering, Statistics, or related fields. * Solid grounding in the theory and practice of Deep Learning. * Hands-on experience in AI/ML applications. * An interest in the computational modeling of brain circuitry in health and disease is a plus. View job postings here: https://it-u.at/en/study-program/doctoral-school/phd-interdisciplinary-comp… Best regards Jie Mei Assistant Professor of Computational Neuroscience [Ein Bild, das Schwarz, Dunkelheit enthält. Automatisch generierte Beschreibung] Altenberger Straße 66c Science Park 4 | OG 2 4040 Linz | Austria ATU79114879 www.it-u.at<https://www.it-u.at/> +43 676 / 851307 254 jie.<mailto:vorname.nachname@it-u.at>mei(a)it-u.at<mailto:vorname.nachname@it-u.at> Unsere Datenschutzerklärung finden Sie unter https://it-u.at/en/privacy/. Der Inhalt dieser E-Mail ist vertraulich und kann rechtlich besonders geschützte Informationen beinhalten. Wenn Sie nicht der beabsichtigte Empfänger sind, dürfen Sie diese E-Mail oder die angeschlossenen Dateien weder bearbeiten, verwenden, weitergeben noch reproduzieren. Sollten Sie nicht der vorgesehene Empfänger sein, ersuchen wir Sie höflich, sich sofort mit uns ins Einvernehmen zu setzen und die E-Mail und sämtliche angeschlossene Dateien zu löschen. You can find our Privacy Policy here https://it-u.at/en/privacy/. The content of this email is confidential and may also contain legally privileged information. If you are not the intended recipient you may not process, use, transmit or reproduce this email or any enclosed attachments. If you have received this email by mistake, please notify the sender immediately and delete this email and any enclosed attachments from your system.

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2-year postdoc at Neurospin/INM, Paris: Computational and high field MRI characterization of learning and decision-making - Supervisor: Dr Florent Meyniel
by Zeineb Amor July 16, 2026

July 16, 2026

Dear all, A two-year postdoctoral position is available at NeuroSpin/INM (Paris, France) under the supervision of Dr. Florent Meyniel. https://computationalbrainteam.com/en/recruitment/2-year-postdoctoral-posti… *Project* Computational and high field MRI characterization of learning and decision-making *Supervisor and contact* Dr Florent MEYNIEL https://www.unicog.org/lab/the-computational-brain/ *Duration and Dates* * Initial duration: two years * Extension possible * Full-time post * Preferred starting date: October 2026 to January 2027 *Project description* Learning and decision making are intertwined processes in many everyday situations. One example is when you decide where to have lunch: should you go to the nearby coffee shop or to the university cafeteria? Learning depends on choice, because you can learn which option you prefer by trying each option repeatedly, and decision making depends on learning, because you eventually want to select the option you have learned you like best. Uncertainty plays a key role in both learning1–4 and decision making5, especially when the environment is not stationary (e.g., a new brand now runs the nearby coffee shop and you like it less). In the ANR/CEA-funded BrainSync collaborative project, we are interested in characterizing the neural representations of uncertainty6–8 and value that emerge from learning and guide decisions. Our approach combines deep phenotyping approach and multimodal imaging in the EXPLORE task5. We collected data from 16 participants who participated in one behavioral session, two 7T fMRI sessions, and two MEG sessions. 56 other participants participated in one pupillometry session and one 3T fMRI session. We also plan to record a dataset on our 11.7T MRI, and we have started to collect intracranial EEG data. This large multimodal dataset allows us to estimate and test different computational models of the decision and learning processes. One postdoc is currently working on the MEG and iEEG data, and one PhD student is working on the behavioral and 11.7T data (to be collected). We are looking for another postdoc for the already collected fMRI datasets. The postdocs and PhD student will work together to perform analyses informed by all datasets. *Profile* Ph.D. in neuroscience, machine learning or psychology, with strong programming skills, ideally in Python. Previous experience with ideally fMRI, computational modeling. You will be responsible for analyzing fMRI data and disseminating results in internal seminars, international conferences and journal articles. The working language of the lab is English. French is not required. *Workplace and environment* Dr Florent MEYNIEL leads the Computational Brain team (more info here), which is located in two places. * Institute of NeuroModulation (INM), Sainte Anne Hospital, Paris, France. The INM is part of the GHU Paris, Psychiatry & Neurosciences. The INM combines clinical activities and innovative clinical research in psychiatry with basic research in computational neuroscience. Team members spend most of their days here. * NeuroSpin, Paris-Saclay Campus, France. NeuroSpin is part of the CEA (Commissariat à l'Energie Atomique). Directed by Prof. Stanislas DEHAENE, NeuroSpin is a world-class brain imaging center equipped with a MEG system (Elekta, Neuromag) and several human MRI scanners (3T Prisma, 7T and 11.7T), all for research purposes only. The community at NeuroSpin is very scientifically stimulating, combining MRI physicists, machine learning experts, and cognitive neuroscientists. Team members go there to collect data and collaborate with their colleagues in the Cognitive NeuroImaging Unit. *Application procedure* Please send an email to Florent Meyniel (florent.meyniel(a)cea.fr) * Your CV * a research statement describing your research interests and proposed directions * the contact details of two referees Applications will be considered on a rolling basis (positions will remain open until filled). *Salary * Will follow INM standards and depend on experience. *References* 1. Meyniel, F., Schlunegger, D. & Dehaene, S. The Sense of Confidence during Probabilistic Learning: A Normative Account. PLoS Comput Biol 11, e1004305 (2015). 2. Meyniel, F., Sigman, M. & Mainen, Z. F. Confidence as Bayesian Probability: From Neural Origins to Behavior. Neuron 88, 78–92 (2015). 3. Foucault, C. & Meyniel, F. Two Determinants of Dynamic Adaptive Learning for Magnitudes and Probabilities. Open Mind 8, 615–638 (2024). 4. Meyniel, F. Brain dynamics for confidence-weighted learning. PLOS Comput. Biol. 16, e1007935 (2020). 5. Paunov, A. et al. Multiple and subject-specific roles of uncertainty in reward-guided decision-making. 2024.03.27.587016 Preprint at https://doi.org/10.1101/2024.03.27.587016 (2024). 6. Walker, E. Y. et al. Studying the neural representations of uncertainty. Nat. Neurosci. 1–11 (2023) doi:10.1038/s41593-023-01444-y. 7. Bounmy, T., Eger, E. & Meyniel, F. A characterization of the neural representation of confidence during probabilistic learning. NeuroImage 268, 119849 (2023). 8. Meyniel, F. & Dehaene, S. Brain networks for confidence weighting and hierarchical inference during probabilistic learning. Proc. Natl. Acad. Sci. 201615773 (2017) doi:10.1073/pnas.1615773114. Best regards, Zaineb Amor, PhD Research Engineer GHU Paris, Psychiatrie et Neurosciences Institut de Neuromodulation Paris, France

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Call for Extended Abstracts – WWIN 2026 Workshop @ SAB 2026
by Yoshida Naoto July 16, 2026

July 16, 2026

(Apologies for cross-posting.) Dear colleagues, We are pleased to announce that the first international workshop “Wanting What is Needed: From Homeostatic Control to Adaptive Behavior” will be held on October 19th in Berlin, Germany, as part of SAB 2026. Workshop website: https://wwin-workshop.github.io/sab2026 ====================================== Aims of the workshop ====================================== Classical reinforcement learning and cognitive models often begin with externally specified rewards. Biological organisms, by contrast, are autonomous learning agents whose behavior is constrained by the need to sustain their own viability. This workshop asks how internal physiological regulation can ground decision-making, value formation and motivated behavior. We aim to foster a shared interdisciplinary conversation across machine learning, artificial intelligence, robotics, neuroscience, biology, physiology, ethology and control theory. The goal is to clarify how homeostatic and allostatic regulation can contribute to adaptive behavior in both biological organisms and artificial agents. ====================================== Invited speakers ====================================== * Lilian A. Weber (Osnabrück University) * Lola Cañamero (CY Cergy Paris University) * Antonio Damasio (University of Southern California, online) ====================================== Extended abstracts for lightning talks and posters ====================================== * Extended abstracts of up to 3 pages (main text) * References, appendices, and acknowledgements are not included in this limit * Springer LNCS style (template available on the workshop website) Keywords: Homeostasis, Allostasis, Intrinsic needs, Value formation, Motivated behavior, Embodied robotics, Adaptive agents, Control theory, Interoception, Internal states ====================================== Important dates ====================================== * Extended Abstract Submission Deadline: August 5, 2026 * Notification of Acceptance: August 19, 2026 * Workshop Date: October 19, 2026 (afternoon) Best regards, Naoto Yoshida (Kyoto University) On behalf of the organizing committee: Boris Gutkin (École Normale Supérieure) Henning Sprekeler (Technical University of Berlin) Louis L’Haridon (ENSEA / CNRS) Lola Cañamero (CY Cergy Paris University) Ismael T. Freire (Sorbonne University) Mehdi Khamassi (Sorbonne University) --- Naoto Yoshida, PhD Program-Specific Researcher (Symbol Emergence Systems for Qualia Structures) Symbol Emergence Systems Lab. Graduate School of Informatics Research Bldg. 7 Kyoto University Yoshida-Honmachi, Sakyou-Ku, Kyoto, Japan. yoshida.naoto.8x(a)kyoto-u.ac.jp <mailto:yoshida.naoto.8x@kyoto-u.ac.jp> X: @movingsloth webpage: https://sites.google.com/view/movingsloth

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Multiple PhD positions in Cognitive Neuroscience at SISSA - application deadline 20 August 2026
by Eugenio Piasini July 15, 2026

July 15, 2026

Up to 3 PhD positions in Cognitive Neuroscience are available at SISSA, Trieste, starting October 2026. SISSA is an elite postgraduate research institution for Maths, Physics and Neuroscience, located in Trieste, Italy. SISSA operates in English, and its faculty and student community is diverse and strongly international. The Cognitive Neuroscience group (https://phdcns.sissa.it/) hosts 7 research labs that study the neuronal bases of time and magnitude processing, neuronal foundations of perceptual experience and learning in various sensory modalities, motivation and intelligence, language, and neural computation. Our research is highly interdisciplinary; our approaches include behavioral, psychophysics, and neurophysiological experiments with humans and animals, as well as computational, statistical and mathematical models. Students from a broad range of backgrounds (physics, maths, medicine, psychology, biology) are encouraged to apply. The selection procedure is now open; please apply here<https://pica.cineca.it/sissa/phd-cns-02-2026/>. The application deadline for the spring admission round is 20 August 2026 at 1pm CET. For more information on the procedure, see our admissions page<https://phdcns.sissa.it/admission-procedure>. Please contact the PhD Coordinator Mathew Diamond (diamond(a)sissa.it) and/or your prospective supervisor for more information and informal inquiries.

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Faculty positions in computational/theoretical neuroscience and NeuroAI at OIST, Japan
by Erik De Schutter July 15, 2026

July 15, 2026

The Okinawa Institute of Science and Technology (https://www.oist.jp/) is an international, interdisciplinary graduate university in Japan, operating entirely in English and committed to empowering world-class researchers with the freedom, resources, and support they need to drive transformational discoveries. We are seeking outstanding scientists to join our community as tenure-track faculty members, as part of an expansion in two broad areas. We aim to appoint two tenure-track assistant professors in: * Life Sciences & Neuroscience: including theoretical and AI approaches We provide: * Core research funding for your scientific vision * Fully funded PhD students, postdoctoral researchers, lab technicians, and staff scientists * World-class core facilities and support staff * Opportunities for amplifying your scientific impact (e.g., technology transfer, outreach, collaborations, etc.) * Full administrative support and assistance with living and working in Okinawa * Competitive compensation package, including housing and commuting allowances, relocation support, family benefits, and dual-career opportunities Our culture and environment: * No faculty hierarchies or departments * A thriving international research community representing 73 countries and territories * A vibrant, safe, multicultural setting on the beautiful island of Okinawa OUR SCIENTIFIC VISION OIST empowers faculty to pursue fundamental, curiosity-driven research while encouraging connections across disciplines. Our faculty publish in top-tier journals, lead international collaborations, and attract prestigious fellowships. We support researchers not only as scientists but also as mentors, leaders, and innovators. To promote scientific excellence through a diverse and inclusive community, OIST actively encourages applications from women and other underrepresented groups. We provide a family-friendly working environment, including a bilingual child development center on campus. APPLY * Life Sciences & Neuroscience https://apply.interfolio.com/188856

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Graduate student / Postdoc position
by Goodhill, Geoffrey July 13, 2026

July 13, 2026

The emergence of spontaneous activity during cortical development Labs of Geoff Goodhill and Linda Richards Washington University School of Medicine, St Louis We are looking for a Postdoc or Graduate student to analyze and model the emergence of early patterns of spontaneous neural activity in developing cortex. We are interested in questions such as whether functionally distinct areas show common or distinct initial activity patterns, and how these patterns relate to subsequent function. This project is based on data from the dunnart (an Australian marsupial), an animal model which offers unique advantages over rodents for studying early activity since dunnarts are born at a much earlier stage of brain development. Our initial work on this project is described in https://www.pnas.org/doi/10.1073/pnas.2208654120. We are now using 2-photon imaging of soma-targeted GCaMP8m which offers data with much higher resolution and detail. The postdoc/student will work between the Goodhill and Richards labs, which are both located in a new 60,000 m^2 building dedicated entirely to neuroscience research which opened in 2023. USNews currently ranks Washington University =6th in the world for Neuroscience and Behavior. Applicants should have a strong math/engineering background and an interest in neuroscience, particularly spontaneous activity and the developing brain. To apply send a detailed CV including names of at least 3 referees and a cover letter explaining your interest in the position to g.goodhill(a)wustl.edu. Review of applications will begin immediately. Potential graduate students please note that there is an upcoming deadline of Aug 1st for applications to relevant Engineering graduate programs at WashU. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 4370 Duncan Ave. St Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd Linda J. Richards Edison Professor and Chair, Department of Neuroscience Director, McDonnell Center for Cellular & Molecular Neurobiology Washington University School of Medicine

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From Binghamton to Granada: COMPLEX NETWORKS 2026 is open for submissions
by Hocine Cherifi July 13, 2026

July 13, 2026

Dear colleagues, We would like to remind you that the 15th International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS 2026) will take place in Granada, Spain, from December 2–4, 2026, with tutorials on December 1. This anniversary edition will continue the tradition of bringing together researchers from network science, complex systems, graph learning, computational social science, physics, computer science, mathematics, biology, economics, and many other fields. The program will feature keynote lectures by Alexandra Brintrup, Nitesh Chawla, Kimmo Kaski, Bruno Lepri, and Eckehard Schöll, as well as tutorials by Fariba Karimi and Huijuan Wang. Submissions are invited in two formats: · Full papers, up to 12 pages, for publication in the Springer proceedings; · Extended abstracts, up to 4 pages, for presentation at the conference and publication in the Book of Abstracts with ISBN. Selected contributions will also be considered for journal special issues. Submission deadline: September 2, 2026 Submission: https://cmt3.research.microsoft.com/COMPLEXNETWORKS2026/ Website: https://complexnetworks.org/ As a reminder, the Springer proceedings of COMPLEX NETWORKS 2025, held last December in Binghamton, are currently freely available. They provide a good overview of the diversity of contributions presented at the conference, across theory, methods, and applications of complex networks. Free access to the 2025 proceedings, Volumes 1–4, is available until July 30, 2026: https://drive.google.com/drive/folders/11_Xzh--IUPNwj6HE-Hzj8cIhXL-LLbMZ?us… We warmly invite you to submit your work and to share this call with colleagues, students, postdocs, and young researchers who may be interested. Best regards, Hocine Cherifi General Co-Chair, COMPLEX NETWORKS 2026 Join us at COMPLEX NETWORKS 2026 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Université Bourgogne Europe Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/> Evolutionary Intelligence <https://link.springer.com/journal/12065>

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search for Assistant Professor in NeuroAI
by xaq＠cmu.edu July 13, 2026

July 13, 2026

Carnegie Mellon University (CMU) invites applications for a tenure-track Assistant Professor in the Neuroscience Institute from scholars working broadly at the intersection of Neuroscience and Artificial Intelligence. We welcome a wide range of research programs, provided they maintain a substantive connection to neuroscience through data, theory, or modeling. Examples of relevant research topics include but are not restricted to: generative models of brain data, AI-based analysis tools for neural activity or connectivity, explainable AI grounded in cognitive/neuroscience principles, human-AI alignment, normative agentic models of animal behavior, mechanistic models of memory or learning in neural networks, descriptive models of invariant representations and dynamics, and embodiment in both natural and artificial systems. The successful candidate will join a vibrant, collaborative environment spanning multiple departments at CMU. Our NeuroAI group leverages CMU’s world-class research in machine learning and AI, robotics, cognitive and systems neuroscience, neurotechnology, data science, engineering, and biological sciences. Joint appointments and courtesy appointments across departments are common in the Neuroscience Institute, and may be an opportunity for some candidates. CMU has a well-established structure for interdisciplinary collaboration in this domain, including specialized programs in neural computation and machine learning, and neurorobotics. The NI also encourages collaboration with industry and commercialization of new ideas. Aspiring entrepreneurs can be supported by a variety of business resources at CMU such as the Swartz Center and new entrepreneurship initiatives. Candidate responsibilities include establishing a visible, externally funded research program; teaching and mentoring in NI; recruiting and supervising both masters and Ph.D. students; and contributing to curricular innovation, including emerging initiatives, such as a new masters program in neural technologies. Information about the Neuroscience Institute can be found at https://www.cmu.edu/ni/.

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2-year Post-doc position on Autonomous Machine Learning / Computational Modeling of Cognitive Development
by Jochen Triesch July 10, 2026

July 10, 2026

The Frankfurt Institute for Advanced Studies (FIAS) is looking for a Postdoctoral Researcher (f/m/d) in the area of: Autonomous Machine Learning / Computational Modeling of Cognitive Development. The primary goal is to develop computational models that autonomously learn abstract representations and models of the world and ways to interact with it in and open-ended fashion from self-motivated physical interactions. Relevant keywords include: autotelic learning, open-ended learning, continual learning, intrinsic motivation, causality, compositionally, hierarchy, modularity. Please find links to some of our recent publications at the bottom. Your profile We are seeking an outstanding and highly motivated postdoc for this position. Applicants should have obtained a PhD in Machine Learning, Cognitive Science, Robotics, or related field. The ideal candidate will have excellent programming and analytic skills and a broad knowledge of machine learning and/or cognitive science. A strong interest in open-ended learning systems and human cognitive development is important. About FIAS The Frankfurt Institute for Advanced Studies (FIAS) is a hub for theoretical and computational research dedicated to solving complex scientific challenges. Our institute is located on the science campus of Goethe University Frankfurt (Campus Riedberg). Our fellows pursue interdisciplinary approaches to address fundamental questions in the various areas of natural sciences with an emphasis on biologically inspired computing. The working language of the institute is English. The position We offer a 2-year fulltime position in the lab of Prof. Dr. Jochen Triesch at the Frankfurt Institute for Advanced Studies (FIAS). Salary is based on TV-H E/13. FIAS is committed to fostering a workplace culture that promotes equality, diversity, and inclusion. We strongly encourage applications from qualified individuals regardless of gender, nationality, ethnic or social origin, religion, disability, age, or sexual orientation. Severely disabled persons with equal qualifications will be given priority. Your application Please submit your application in a single pdf file including: • a cover letter including the (expected) date of your PhD and your desired starting date, • a statement of research interests, • your CV with publication list, • contact information for at least two references. by 8 August, 2026 via our online portal: https://jobapplication.hrworks.de/de?companyId=amb4af72&id=efcd33 For further questions, please contact: Scientific issues: Prof. Dr. Jochen Triesch (triesch(a)fias.uni-frankfurt.de) Administrative issues: Meike Taplik (hr(a)fias.uni-frankfurt.de) -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt Some relevant recent papers: https://ieeexplore.ieee.org/abstract/document/11204381 https://onlinelibrary.wiley.com/doi/full/10.1111/desc.70211 https://link.springer.com/chapter/10.1007/978-3-031-73226-3_4 https://onlinelibrary.wiley.com/doi/full/10.1111/desc.70231 https://www.nature.com/articles/s41467-025-64234-z

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Workshop at CNS2026: applications of detailed microcircuit models
by Etay Hay July 9, 2026

July 9, 2026

Workshop: Detailed models of brain microcircuit activity and signals in clinical applications July 15, 2026, 9:00am-12:30pm ADT At CNS 2026 conference, Halifax, Canada Speakers: Etay Hay Assistant Professor, Centre for Addiction and Mental Health, University of Toronto Heng Kan Yao Postdoc, Centre for Addiction and Mental Health, University of Toronto Salvador Dura-Bernal Associate Professor, State University of New York (SUNY) Downstate Katharina Duecker Postdoc, Brown University Alexandre Guet-McCreight Postdoc, Centre for Addiction and Mental Health, University of Toronto Brain function is mediated by neuronal microcircuits with specific connectivity between neuron types, and it is increasingly evident that altered microcircuitry underlies deficits in brain disorders such as depression and schizophrenia, and in aging and Alzheimer’s. However, our ability to monitor the microcircuitry in living humans is limited, meriting the use of detailed computational simulations to overcome experimental limitations in linking the microcircuit mechanisms with altered cortical activity, functional deficits and biomarkers in clinically-relevant brain signals. This workshop will showcase the latest efforts from leading groups in large-scale neuronal microcircuit modeling of spiking activity and signals such as EEG and MEG. The workshop will present diverse data-driven microcircuit modeling approaches that integrate neuronal, synaptic and functional data, and the different simulation tools used to generate activity and brain signals from the models. The workshop will highlight clinical applications of the models in establishing target mechanisms for treatment, and estimating microcircuit mechanisms from clinical signals in patient data with machine learning to improve diagnosis. This workshop aims to foster the exchange of methods and ideas, and offer new insights on clinical applications of simulated large-scale cortical microcircuits. CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

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[jobs] Computational Neuroscientist / Electrophysiology Data Analysis Engineer at MaxWell Biosystems (Zurich, Switzerland)
by Jan Müller July 8, 2026

July 8, 2026

Dear all, We are looking for a Computational Neuroscientist / Electrophysiology Data Analysis Engineer to join MaxWell Biosystems in Zurich, Switzerland. If you enjoy neural data analysis, statistical modeling, MEA-based extracellular electrophysiology, spike sorting, and developing software tools used by neuroscientists around the world, we would love to hear from you. MaxWell Biosystems develops high-density microelectrode array (HD-MEA) platforms for neuroscience research and drug discovery. Our technology combines custom CMOS sensors, FPGA-based acquisition hardware, and the MaxLab Live software platform to record, analyze, and visualize large-scale neural activity at high spatial resolution. As part of our interdisciplinary team, you will help develop the next generation of neural data analysis tools for our platform. Your Mission: - Develop and enhance robust pipelines for neural data analysis, including statistical analysis, spike sorting, and feature extraction - Evaluate and integrate state-of-the-art methods from computational neuroscience, machine learning, and statistics - Collaborate with neuroscientists and electrophysiologists to translate scientific challenges into practical software solutions - Develop APIs and software tools that simplify large-scale electrophysiology data analysis - Help shape the future of our analysis software by contributing your own ideas and technical expertise Your Profile: - Background in computational neuroscience, neuroengineering, or a related field - Hands-on experience analyzing extracellular MEA recordings is required - Experience with statistical analysis and modeling - Strong understanding of neural spike data, extracellular electrophysiology, and neural signal processing - Experience with spike sorting and neural data analysis tools (e.g. SpikeInterface, Kilosort, SpyKING CIRCUS, Phy) is a strong plus - Strong programming skills in Python; experience with C++ is a plus - Familiarity with Linux and scientific software development - Enjoy writing clean, maintainable code - Experience with AI-assisted coding tools (e.g. Claude) is a plus - Excellent communication skills and enthusiasm for working in an interdisciplinary team Why Join MaxWell Biosystems? Join a multidisciplinary team of neuroscientists, software engineers, and hardware developers working on cutting-edge HD-MEA technology for neuroscience research and drug discovery. Your work will directly contribute to software tools used by researchers around the world to analyze large-scale neural recordings. Apply: If this sounds like a role you would enjoy, we would love to hear from you. Please send your CV, a brief cover letter, and relevant transcripts to hr(a)mxwbio.com More details: https://www.mxwbio.com/open-position/computational-neuroscientist-electroph… Best regards, Jan -- Jan Müller, Ph.D. | CTO MaxWell Biosystems AG | Albisriederstrasse 253 | CH-8047 Zurich | Switzerland email: jan.mueller(a)mxwbio.com | web: www.mxwbio.com

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Multiscale Modeling with MOOSE and Jardesigner at CNS*2026
by MOOSE Neuro July 8, 2026

July 8, 2026

Dear all, We are pleased to announce a hands-on tutorial on *Multiscale Modeling with MOOSE *at CNS*2025! *Saturday, July 11, 2026, 09:00 AM - 12:00 ADT PM, Room : 505* The objective of this tutorial is to familiarize participants with MOOSE, the Multiscale Object-Oriented Simulation Environment (https://mooseneuro.org) a comprehensive simulation platform designed for computational modeling in neuroscience and systems biology. In addition to tutorials on biophysical and biochemical models, we shall showcase new features of MOOSE, including *JARDESIGNER, *a web-based frontend for multiscale modeling. We will illustrate the use of *JARDESIGNER* and MOOSE to build and run spiking neuron models incorporating chemical signaling for neuromodulation and synaptic plasticity on spines. *Speakers:* Dr. Subhasis Ray, Prof. Upinder S. Bhalla, Dr. Bhanu Priya S *Schedule :* *9:00 am - 10:10 am *Hands-on sessions with modelling and simulation in Jardesigner. *10:40 am - 12:00 pm* Building single-neuron models to multiscale neuronal models using Python Scripting in MOOSE. We will also present a poster titled *"JARDESIGNER : Installation-free-in-browser **modeling with signaling and conductances in multicompartment neurons" *on *July 14th, 2026 in Ballroom B2 from 5:00 - 7:00 PM, ADT. * Find the abstract here https://cns2026.sched.com/event/2PxP1/p100-jardesigner-installation-free-in… More details can be found here: https://cns2026.sched.com/ <https://cns2025florence.sched.com/event/24uTo/p252-developments-around-moos…> Please feel free to share this announcement with anyone who might be interested. -- Cheers! Parita Mehta Community Manager for MOOSE *On behalf of the MOOSE team* GitHub <https://github.com/mooseneuro/> | Official website <https://www.mooseneuro.org/> | LinkedIn <https://www.linkedin.com/in/moose-neuro-simulator-064088315/> | X <https://x.com/mooseneurosim> | Bluesky <https://bsky.app/profile/moosesim.bsky.social>

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Teaching Assistant (TA) applications now open for Simons Computational Neuroscience Imbizo 2027
by Spiros Chavlis July 7, 2026

July 7, 2026

Dear friends and colleagues, We are seeking passionate post-doctoral or senior PhD researchers to join our team as Teaching Assistants (TAs) for the upcoming Simons Computational Neuroscience Imbizo, a deeply immersive summer school held in Noordhoek, Cape Town, South Africa. Apply here: https://imbizo.africa/ta-application/ Application Requirements Before you begin your application, please ensure you have the following ready: A brief CV: 2-4 pages maximum, uploaded as a PDF. A motivational statement: A short text (max 600 words) outlining your scientific interests and background, why you would be a good fit, and your preferred topics for teaching tutorials and supervising student projects. Reference details: The name and contact information of one referee. (Note: Your referee will automatically receive an email prompt once you submit. Please inform them to check also their spam emails). Important Dates: Applications Close: 1st September 2026 at 20:00 UTC Imbizo Dates: 27th August - 16th September 2027 About the Imbizo: The school hosts 27-28 students for approximately three weeks of intensive lectures, tutorials, projects, and forging new friendships. All this takes place on Noordhoek beach, nestled between the mountain and the ocean, a truly spectacular location. The Imbizo is a special experience. Students are totally immersed in academic, social, touristic, and cultural activities, which has historically resulted in previous cohorts of students and TAs becoming very close, both personally and scientifically. This is fantastic, as a major goal of the Imbizo project is to help young African researchers grow their academic peer and friend groups. The Role of a TA Academic Responsibilities: (a) Design and run one afternoon tutorial during the first week of the school. Each TA will teach a different topic, chosen collaboratively among the TA team and the Academic Directors, to provide students with broad exposure to methods in computational neuroscience, (b) Supervise a group of approximately 5 students for their project work during the last two weeks of the school, and (c) Assist the organizing committee in processing student applications in early 2027. Social Responsibilities: TAs are integral to the daily life of the school. In addition to academic support, you will be expected to foster good social interactions, spark academic discussions, and help ‘shy’ students meet faculty. TAs act as the ‘social glue’ of the Imbizo, helping to notice and support students who may be feeling ill, having difficulties fitting in, or struggling with the workload. To fulfill these roles, TAs are required to attend all school meals and activities. What We Provide We cover direct, economy-class flights to Cape Town, as well as all board and lodging for the duration of the school. A separate call for student applications will follow in January 2027. Please reach out if you have any questions! Please spread the word. Thank you in advance. On behalf of the #Imbizo2027 Organizing committee Spiros Chavlis Twitter: @CompNeuroImbizo Bluesky: imbizo.bsky.social email: info [AT] imbizo [DOT] africa

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Postdoctoral Positions in Computational Neuroscience & AI @ EPFL, CH
by Alexander Mathis July 7, 2026

July 7, 2026

The A. Mathis Group for Computational Neuroscience and AI (CNAI) is seeking two postdoctoral fellows to join our team working at the intersection of artificial intelligence and neuroscience. Our research is built around three intertwined questions: how to measure and understand behavior with AI, how brains and embodied agents learn to control the body, and how the brain builds a sense of its body through proprioception. We develop widely-used open-source tools (e.g., DeepLabCut), train biomechanically realistic embodied agents (e.g., MuscleMimic, Kinesis, Arnold), and build AI-based models of sensorimotor processing. We are recruiting two postdocs: 1) Postdoc in Computer Vision & AI for Behavior Analysis 2) Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities For both positions: * Conduct innovative, independent research aligned with the lab's mission and the candidate's interests * Contribute to the lab's open-source software, datasets, and benchmarks * Mentor PhD and Master's students and contribute to the lab's collaborative culture * Engage with collaborators across EPFL and beyond (neuroscience labs, ecology partners, clinical collaborators) * Present research at international conferences and workshops Position 1: Computer Vision & AI for Behavior Analysis * Contribute to the creation of behavioral datasets for groups of animals * Develop methods for animal and environment reconstruction * Develop methods for behavior understanding from multi-view video and audio recordings * Advance multimodal large language models for fine-grained action understanding and reasoning * Help shape the next generation of DeepLabCut and related open-source tools used by labs worldwide. Position 2: Embodied AI * Train muscle-actuated, biomechanically realistic agents to perform skilled motor tasks using reinforcement learning, imitation learning, and curriculum methods; * Develop new methods for full-body musculoskeletal control * Probe links between learned control policies and neural representations of movement in collaboration with experimental labs Common requirements: * PhD (completed or close to completion) in computer science, applied mathematics, computational neuroscience, robotics, physics or a closely related field; * Strong publication record in relevant venues; * Solid programming skills in Python and a modern deep-learning framework * Excellent communication skills in spoken and written English; * Self-motivated, collaborative, and committed to open science and reproducible research; * Demonstrated ability to work both independently and as part of a team. More details and ways to apply: https://careers.epfl.ch/job/Gen%C3%A8ve-Postdoctoral-Positions-in-Computati… Lab website: https://cnai.epfl.ch/

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Postdoc position in the Unit on the Neural Computations in Learning, NIMH
by Langdon, Angela (NIH/NIMH) [E] July 6, 2026

July 6, 2026

We have an opening for a postdoctoral fellow to join my lab in the Intramural Research Program of the National Institute of Mental Health at the NIH campus in Bethesda, MD. Research in the lab is focused on the computational neuroscience of reward prediction and learning. Broadly, we study how timing, inference processes and goal selection modulate learning in reward-guided tasks in animals and humans, and how these processes are supported by neural activity in the reward learning circuits of the brain. Our goal is to understand how reward learning is altered in compulsive behaviors, addiction, and motivational deficits in disorders of mental health. We are looking for a postdoc who will use approaches from dynamical systems theory, reinforcement learning and Bayesian inference to understand how goal-directed behaviors and learning are regulated in neural circuits. The ideal candidate thinks about reward prediction and learning as dynamic processes unfolding in time and across experience, is fluent in both the theoretical and empirical approaches used in systems, behavioral and cognitive neuroscience, and aims to link normative models of behavior to the dynamics of neural populations in the reward learning circuits of the brain. We are a computational group that works with a broad network of collaborating labs spanning rodent, NHP and human studies, and would suit a computational neuroscientist excited to work at the intersection of theory and experiment in an interdisciplinary research environment. An overview of research training at NIH can be found here: https://www.training.nih.gov/research-training/ Interested candidates should have strong quantitative and programming skills, fluency with dynamical systems theory (and ideally reinforcement learning and/or Bayesian inference), demonstrated familiarity with neuroscience and behavioral research, and a record of scientific contributions in an area relevant to research in the lab. Interested candidates should send a brief research statement (1-2 paragraphs) and a cv to Dr Angela Langdon (angela dot langdon at nih dot gov). Informal enquiries are welcome!

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Re: vision: a community-driven replication initiative for image-related neuroscience
by Alessandro Gifford July 3, 2026

July 3, 2026

Dear colleagues, We are excited to announce re:vision, a community-driven initiative for replicating and generalizing findings in image-related neuroscience and we'd love for you to take part. Condition-rich fMRI datasets have transformed how we study visual representations, but they rest on two assumptions: that their stimuli sample natural images broadly, and that findings generalize across that distribution. These assumptions are rarely tested directly. re:vision sets out to change that. The initiative is built on the new LAION-fMRI dataset: densely-sampled 7T fMRI responses to 25,000+ natural images, designed to cover the space of natural images at exceptional scale and diversity. Participants pick a published finding, replicate it using LAION-fMRI, and test whether it holds and generalizes. No new data collection is required, all data, preprocessed betas, and annotations are provided through our Python package. Anyone with an interest in neuroscience can participate in teams of 1 - 3 researchers. From the PI that wants to get their hands dirty again to the master's student looking for a thesis project. We advise that at least one member of your replication team has experience with fMRI analysis. Why participate? - Be part of the consortium paper — every team that submits a valid report is given the chance to co-author the final publication. - Compete for cash prizes: a $2,500 Replication Award, a $2,500 Generalization Award, and a $1,000 Facilitator Award. Key dates: - Sign-up & proposal: by September 15th 2026 - Report submission: by February 15th 2027 You can learn more, browse suggested studies, and sign up at re-vision-initiative.org. Please feel free to forward this to colleagues or students who might be interested. Kind regards the re:vision team re:vision team: Luca Kämmer, Justus-Liebig-University Gießen & Max Planck Institute CBS Josefine Zerbe, Justus-Liebig-University Gießen & Max Planck Institute CBS Johannes Roth, Justus-Liebig-University Gießen & Max Planck Institute CBS Alessandro Gifford, Freie Universität Berlin Apurva Ratan Murty, Georgia Institute of Technology Iris Groen, Amsterdam University Michael Bonner, Johns Hopkins University Margaret Henderson, Carnegie Mellon University Radoslaw Cichy, Freie Universität Berlin Martin Hebart, Justus-Liebig-University Gießen & Max Planck Institute CBS

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[REMINDER] Fourth edition of the Seeing and Acting Workshop (SAW). University of Coimbra, Portugal, 24-26 September 2026
by Jorge Almeida July 1, 2026

July 1, 2026

Dear colleague, (Sorry for the cross posting and mass email) *Registration* and *abstract submission* are now *open* for the fourth edition of the *Seeing and Acting Workshop (SAW <https://www.uc.pt/cogbooster/saw/2026/>)* that will take place at the Faculty of Psychology and Educational Sciences of the University of Coimbra, *September 24-26, 2026 in Coimbra, Portugal*. Please register here: SAW 2026 - Seeing and Acting Workshop | Eventos | Universidade de Coimbra <https://ucstore.uc.pt/event/saw-2026-seeing-and-acting-workshop-14/register> For the fourth edition of SAW, we have, once again, an exciting and stimulating group of Invited Speakers: · *Marina Bedny*, Johns Hopkins University, USA · *Jeffrey Bowers*, University of Bristol, , UK · *Tim Kietzmann*, University of Osnabrück, Germany · *Robeta Klatzky*, Carnegie Mellon University, USA · *Kami Koldewyn*, Bangor University, UK · *Marius Peelen*, Radboud University, Netherlands · *Elizabeth Tibbetts*, University of Michigan, USA The goal of SAW is to provide a forum for cognitive science/neuroscience researchers from a range of perspectives who are interested in Perception and Action, broadly construed, to come together to discuss their research and develop new directions and collaborations. The format of the workshop is intended to encourage extensive discussion among participants. To this end, we have scheduled only a small number of invited speakers, and there are no concurrent talks. In addition to the individual seminars, there will be a poster session for students, postdocs and other researchers to present their work. *Abstract submission for posters closes on July 30, 2026*. The five best abstracts whose first author is a student or postdoc will receive a 200 euro award sponsored by NeuroVerse. Registration for the workshop will be open in a couple of weeks. To register, submit a poster abstract, or for more information, please visit: https://www.uc.pt/cogbooster/saw/2026/ and SAW 2026 - Seeing and Acting Workshop | Eventos | Universidade de Coimbra <https://ucstore.uc.pt/event/saw-2026-seeing-and-acting-workshop-14/register> Please note that there are a limited number of places (~120), which will be assigned on a first come, first served basis. To secure your place, please register as soon as possible. Note that you can register now and submit an abstract later (but before the July 30, 2026 deadline). SAW is powered by the ERA Chair CogBooster, and by the Faculty of Psychology and Educational Sciences of the University of Coimbra, Portugal. Workshop Organizers: Jorge Almeida, Alfonso Caramazza, Paul Downing, Mel Goodale, Zoe Kourtzi, Angelika Lingnau, and Isabel Pavão Martins

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[jobs] Postdoc position in Surrey (UK): Research Fellow in Clinical Neuroscience, Sleep and Dementia
by Haar, Shlomi June 30, 2026

June 30, 2026

The postholder will contribute to an exciting international, multi‑centre research programme<https://www.asapcrn.org/research-community/teams/sharott> investigating the neural mechanisms underlying sleep and circadian rhythm disturbances in Parkinson’s disease. You will work closely with a multidisciplinary team in Surrey and Oxford, and with collaborators across the ASAP Collaborative Research Network (CRN), an international, multidisciplinary, multi-institutional network working to address high-priority research questions about Parkinson's disease, supported by ASAP, in partnership with The Michael J. Fox Foundation for Parkinson’s Research (MJFF). The role We are seeking an outstanding Research Fellow to help spearhead research to understand the relationship between EEG-defined oscillations during sleep and excessive sleepiness during the daytime in people living with Parkinson's and to develop and implement neuromodulation approaches to alleviate daytime sleepiness. The project is funded by Aligning Science Across Parkinson's and the William J. Fox Foundation, and will be conducted at the Surrey Sleep Research Centre at the University of Surrey. The research is part of a collaborative effort between researchers at the Universities of Surrey, Oxford, Harvard and Zurich. The successful applicant will, together with other researchers and clinical staff members, be responsible for conducting the clinical research protocol, analyses of EEG and behavioural data, delivering neuromodulation interventions, and preparing publications. Candidates are expected to hold a PhD in Neuroscience or related subject area, have experience in clinical neuroscience research and have excellent data analysis and programming skills. The successful applicant will be an active member of the Surrey Sleep Research Centre, and is expected to collaborate closely with researchers at Oxford, Harvard and Zurich. About you Crucial skills include EEG analysis and programming. Desirable skills are prior experience of working with human participants patients, particularly those with Parkinson's, dementia, or other cognitive disorders, experience in assessing cognitive function using standardised and experimental tasks, conducting non-invasive brain stimulation and/or EEG recording procedures. However, the role involves substantial training to bring the research fellow to the highest level of competence in those research approaches. How to apply Please apply on the University of Surrey website: https://jobs.surrey.ac.uk/Vacancy.aspx?id=15619 For more information and informal discussions, please contact Prof Dijk (d.j.dijk(a)surrey.ac.uk; 01483 689341)

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[jobs] Postdoc position in Toulouse (France): Deep learning models of the Global Workspace
by Rufin VanRullen June 29, 2026

June 29, 2026

Postdoctoral position available in an ERC-funded project exploring deep-learning implementations of the Global Workspace theory. We are seeking a highly motivated and dedicated post-doc to join our group in Toulouse, France in the Fall/Winter of 2026. The successful candidate will have a PhD and formal training in AI, Computer Science or related fields (e.g. computational neuroscience), and a keen interest in cognitive neuroscience. Our ERC Advanced Grant "GLoW" (2023-2028) aims to take inspiration from neuroscience and cognitive theories to build deep neural network models of cognition, capable of integrating or "grounding" information across sensory and linguistic modalities, and of displaying flexible cognitive behavior. Details on the ideas developed in the project can be found in this Opinion paper <https://www.cell.com/trends/neurosciences/fulltext/S0166-2236(21)00077-1>. The project is headed by Rufin VanRullen (CNRS, Toulouse, France), with external advisors Ryota Kanai (Araya, Tokyo, Japan) and Murray Shanahan (ICL/Deepmind, London, UK). Our lab <https://rufinv.github.io/> is part of the CerCo Institute <https://cerco.cnrs.fr/en> as well as the Artificial and Natural Intelligence Toulouse Institute (ANITI) <https://aniti.univ-toulouse.fr/en/>. Our team has many opportunities to collaborate with neuroscientists, computer scientists, linguists, roboticists etc. We have access to in-house (GPU) computing clusters as well as research-dedicated supercomputers. Typical appointments for post-docs are for 1 year, renewable for a 2nd year and beyond. The beginning post-doc salary is about 2,500 Euros/month (net), and can reach 3,500 Euros/month (net) for more experienced post-docs. The application procedure and additional information can be found on the CNRS portal <https://emploi.cnrs.fr/Offres/CDD/UMR5549-LESMAR-017/Default.aspx?lang=EN>. Please direct any query to: rufin.vanrullen [at] cnrs.fr --

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Postdoctoral Fellow – Generative AI for Mental Health at the Global Center for AI in Mental Health (GCAIMH) in New York
by Salvador Dura-Bernal June 29, 2026

June 29, 2026

Postdoctoral Fellow – Generative AI for Mental Health Global Center for AI in Mental Health (GCAIMH) University at Albany (SUNY) and SUNY Downstate Health Sciences University Albany, NY / Brooklyn, NY (Hybrid) Two-Year Fellowship Position Summary The Global Center for AI in Mental Health (GCAIMH),<https://gcaimh.org/> a collaboration between the University at Albany and SUNY Downstate Health Sciences University, seeks an outstanding Postdoctoral Fellow in Generative Artificial Intelligence to advance innovative AI solutions that improve mental health access, quality, and outcomes at scale. This position is funded through the Empire AI Postdoctoral Fellows Program and offers a unique opportunity to work at the intersection of artificial intelligence, mental health, global health, and public-good technology. Working closely with an interdisciplinary team of researchers, clinicians, computer scientists, and global health partners across SUNY institutions and international collaborators, the Fellow will contribute to the research, design, development, deployment, and evaluation of cutting-edge generative AI tools that support both frontline mental health interventions and evidence-based psychotherapy. Research Focus The Fellow will play a leading role in the development and evaluation of AI-powered initiatives for expanding access and equity in mental health, including but not limited to: JulienPFA: An AI-supported implementation tool designed to strengthen Psychological First Aid (PFA) delivery during humanitarian crises, disasters, terrorism, and mass violence events. The system offers just-in-time guidance to non-specialist providers while supporting implementation fidelity, workforce development, and ethical learning systems. TherAssist: A clinician-facing generative AI platform that supports psychotherapists delivering evidence-based treatments for anxiety and depression through real-time analysis, personalized treatment recommendations, and fidelity monitoring. Responsibilities The successful candidate will: * Research, design, develop, and evaluate generative AI models for mental health applications. * Deploy and use retrieval-augmented generation (RAG) to constrain large language models (LLMs) and multimodal AI systems. * Conduct research using large-scale clinical, behavioral, and linguistic datasets. * Utilize Empire AI computing resources for model training, evaluation, and deployment. * Develop methods for responsible, ethical, and explainable AI in healthcare settings. * Collaborate with clinicians, mental health researchers, software engineers, and data scientists. * Publish findings in peer-reviewed journals and present at national and international conferences. * Contribute to grant proposals and research dissemination activities. * Mentor graduate and undergraduate students involved in AI and mental health research. * Support partnerships with international collaborators focused on global mental health innovation. Required Qualifications * Ph.D. completed by start date, and not more than 5 years ago, in Computer Science, Artificial Intelligence, Machine Learning, Information Science, Data Science, Computational Neuroscience, Biomedical Informatics, or a closely related social science field with demonstrated skills and experience in computer science/artificial intelligence/machine learning. * Demonstrated expertise with large language models, retrieval-augmented generation (RAG), agentic AI systems, and/or multimodal AI. * Strong programming skills in Python and experience developing web-based AI applications with modern frameworks (e.g., Google Cloud Vertex, Gemini, CloudRun, Kubernetes, Firebase). * Experience working with large datasets and high-performance computing environments. * Strong publication record or evidence of research productivity. * Excellent written and verbal communication skills, including the ability to communicate clearly and effectively about complicated scientific topics with a range of audiences. * Ability to work effectively in interdisciplinary and collaborative research environments. Preferred Qualifications * Experience applying AI to healthcare, mental health, psychology, or social science domains. * Familiarity with responsible AI, AI ethics, fairness, privacy, and safety considerations. * Knowledge of natural language processing, speech analysis, or conversational AI systems. * Experience working with clinical or healthcare data. Research Environment The mission of GCAIMH is to leverage artificial intelligence to improve mental health as a public good through innovative research, workforce development, and scalable solutions with local and global impact. See website: https://gcaimh.org<https://gcaimh.org/>. To support this mission, the Fellow will have access to Empire AI's state-of-the-art high-performance computing infrastructure, enabling research that requires large-scale AI model training and evaluation. Appointment Details * Position Title: Postdoctoral Fellow, Generative AI for Mental Health * Appointment Length: Two years * Salary Range: $85,000 annually, plus benefits. * Location: The position will be physically located at the University at Albany with occasional site visits to SUNY Downstate in Brooklyn. Hybrid arrangements will be considered. * Start Date: Fall 2026 (anticipated) Application Instructions Applicants should submit: 1. Cover letter describing research interests and fit for the position 2. Curriculum vitae 3. Representative publications or writing samples 4. Contact information for three professional references Submit application materials to: Amy Nitza, Ph.D. Director, Global Center for AI in Mental Health University at Albany anitza(a)albany.edu<mailto:anitza@albany.edu> Review of applications will begin immediately. The position will remain open till filled. Commitment to Public Impact This position offers a rare opportunity to develop AI technologies that address critical challenges in mental health care, including workforce shortages, treatment quality, implementation fidelity, and equitable access to services worldwide. The successful candidate will contribute to innovations designed to improve mental health outcomes for diverse populations while advancing responsible and ethical AI development. ________________________________ The contents of this email message and any attachments are confidential and are intended solely for the addressee. The information may also be legally privileged. This transmission is sent in trust, for the sole purpose of delivery to the intended recipient. If you have received this transmission in error, any use, reproduction or dissemination of this transmission is strictly prohibited. If you are not the intended recipient, please immediately notify sender by reply email or by (718) 270-HELP.

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[CFP Deadline Extension] BEACON 2026 Workshop @ ICMI – Grounding Abstract Concepts in Multimodal Interaction (Deadline: July 17, 2026)
by rahul.simha.is＠gmail.com June 29, 2026

June 29, 2026

[Apologies for multiple posts; please distribute to interested colleagues and relevant mailing lists.] Dear all, We are pleased to announce that the submission deadline for the BEACON 2026 Workshop — Beyond the Concrete: Grounding Abstract Concepts in Multimodal Interaction, co-located with ACM ICMI 2026, has been extended to July 17, 2026. BEACON 2026 brings together researchers working on multimodal representation learning, embodied and developmental models, robotics, cognitive science, and hybrid cognitive architectures. The workshop aims to consolidate computational approaches, datasets, and evaluation methodologies for abstract concept grounding while identifying shared assumptions and open research challenges. A keynote talk will be given by Professor Gabriella Vigliocco, Professor of the Psychology of Language at University College London. Topics of interest include, but are not limited to: Grounding abstract concepts in multimodal interaction Hierarchical and developmental models of abstraction Cross-modal abstraction and alignment Embodied and interactive concept learning Multimodal action and goal representations Affective and contextual abstraction Embodied and interactive learning of abstract language Hybrid cognitive architectures for abstract grounding Evaluation methodologies for abstract concept grounding Multimodal datasets and benchmarks for abstract concepts Applications of abstract grounding in HCI and HRI Submission Formats Short papers: 4 pages Full papers: 8 pages All accepted and presented papers will be included in the proceedings of the ACM ICMI 2026 workshops. Submission Instructions Submit through the ICMI 2026 PCS portal: https://new.precisionconference.com/icmi26/ After signing in, select: SIGCHI → ICMI 2026 → ICMI 2026 Workshop: Beyond a Concrete: Grounding Abstract Concepts in Multimodal Interaction Then click Go. Updated Important Dates Submission deadline: July 17, 2026 Notification of acceptance: July 31, 2026 Camera-ready submission: August 7, 2026 Workshop: October 9, 2026 Workshop website: https://beacon2026.github.io/ We welcome contributions from the multimodal interaction, artificial intelligence, robotics, human–computer interaction, human–robot interaction, and cognitive science communities. For questions, please contact Rahul Singh Maharjan at rahul.simha.is(a)gmail.com Best regards, Rahul Singh Maharjan on behalf of the BEACON 2026 Organizers

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Doctoral Summer School on Robotics and Intelligent Machines
by Calogero Maria Oddo June 26, 2026

June 26, 2026

𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗿𝗲 𝗼𝗽𝗲𝗻 𝗳𝗼𝗿 𝘁𝗵𝗲 𝟰𝘁𝗵 𝗗𝗼𝗰𝘁𝗼𝗿𝗮𝗹 𝗦𝘂𝗺𝗺𝗲𝗿 𝗦𝗰𝗵𝗼𝗼𝗹 𝗼𝗻 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗠𝗮𝗰𝗵𝗶𝗻𝗲𝘀 (𝗗𝗥𝗜𝗠𝗦 𝟮𝟬𝟮𝟲) Join us in the seaside of Tuscany, Italy, for a week of training, innovation, hands-on experimentation, and international networking. From August 30 to September 6, 2026, DRIMS will bring together PhD students, researchers, and professionals from academia and industry for an immersive experience dedicated to the latest advances in robotics and intelligent machines. The programme combines lectures, hands-on activities, multidisciplinary teamwork, project-based learning, and networking opportunities with leading researchers and peers from around the world. Participants will have the opportunity to deepen their knowledge in areas including: • 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗠𝗮𝗰𝗵𝗶𝗻𝗲𝘀 • 𝗠𝗲𝗰𝗵𝗮𝗻𝗶𝗰𝗮𝗹 𝗗𝗲𝘀𝗶𝗴𝗻 • 𝗩𝗶𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗧𝗼𝘂𝗰𝗵 𝗦𝗲𝗻𝘀𝗶𝗻𝗴 • 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • 𝗛𝘂𝗺𝗮𝗻–𝗥𝗼𝗯𝗼𝘁 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 • 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗡𝗲𝘂𝗿𝗼𝗔𝗜 𝗳𝗼𝗿 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 Several full and partial registration fee waivers are available thanks to the generous support of the IEEE Robotics and Automation Society (IEEE RAS), the Italian Institute of Robotics and Intelligent Machines (I-RIM), the BRIEFS research infrastructure, and several sponsoring companies (https://www.phdrims.com/sponsors.php<https://www.phdrims.com/sponsors.php?s=7>). 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘁𝗼 𝗮𝗽𝗽𝗹𝘆: • https://www.phdrims.com/ • https://www.santannapisa.it/en/alta-formazione/4th-Doctoral-Summer-School-o… We look forward to welcoming the next generation of researchers and innovators in robotics and intelligent machines, The DRIMS Steering and Scientific Committee https://www.phdrims.com/comitato_organizzatore.php<https://www.phdrims.com/comitato_organizzatore.php?s=3> -- Calogero M. Oddo, PhD (‪Scholar‬<https://scholar.google.com/citations?hl=it&user=y1rffgkAAAAJ&view_op=list_w…>, Scopus<https://www.scopus.com/authid/detail.uri?authorId=16176089500>) Associate Professor of Bioengineering, Sant'Anna School of Advanced Studies, Pisa, Italy https://www.santannapisa.it/en/calogero-maria-oddo http://www.santannapisa.it/en/neuro-robotic-touch-laboratory Vice-Director, Centro Interdisciplinare Linceo Giovani https://www.lincei.it/en/oddo-calogero-maria email: calogero.oddo(a)santannapisa.it<mailto:calogero.oddo@santannapisa.it> While it suits me to email now, I do not expect a reply outside of your own working hours.

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Deadline approaching: Call for Abstracts for the Bernstein Conference 2026
by Bernstein Conference June 24, 2026

June 24, 2026

+++ The Bernstein Network Computational Neuroscience invites proposals for Poster Sessions at the Bernstein Conference 2026 in Frankfurt am Main. +++ ____ *Bernstein Conference * Each year, the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries.** https://www.bernstein-conference.de/ <https://www.bernstein-conference.de/> ____ *IMPORTANT DATES * Bernstein Conference: *September 28 – October 1, 2026 * Deadlines: *Poster Session* abstract submission: *July 1, 2026 at 15:00 CEST Travel Grant *application: *July 1, 2026 at 17:00 CEST * Notification of acceptance: *July 2026 **____ ABSTRACTS* We invite the computational neuroscience community to submit their abstracts for Poster Sessions. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/ <https://bernstein-network.de/bernstein-conference/abstract-submission/> ____ *TRAVEL GRANTS* To support the participation of young researchers at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 €. Further information can be found here: https://bernstein-network.de/bernstein-conference/early-career-scientists/t… <https://bernstein-network.de/bernstein-conference/early-career-scientists/t…> ____ *INVITED SPEAKERS* Roshan Cools (Donders Institute for Brain, Cognition and Behaviour, The Netherlands) Benjamin Grewe (Institute of Neuroinformatics of the ETH and UZH, Switzerland) Andreas Herz (LMU Munich, Germany) Ewelina Knapska (Nencki Institute of Experimental Biology, Poland) John Krakauer (Champalimaud Foundation, Portugal) Jeehyun Kwag (Seoul National University, Korea) Anna Levina (University of Tübingen, Germany) Richard Naud (University of Ottawa, Canada) Bence Ölveczky (Harvard University, USA) Sandro Romani (Janelia Research Campus, USA) ____ *CONFERENCE COMMITTEE* Stefan Rotter (Conference Chair) Matthias Kaschube (Conference Host) Tim Vogels (Program Chair) Panayiota Poirazi (Program Vice Chair) Katharina Wilmes (Workshop Chair) Juan Álvaro Gallego(Workshop Vice Chair) & Nicolas Brunel, Alex Cayco-Gajic, Monika Jadi, Jennifer Li, Wiktor Młynarski, Richard Naud, Joseph Raimondo, Tatyana Sharpee, Taro Toyoizumi, Eleni Vassilaki ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de <mailto:bernstein.conference@fz-juelich.de>

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Call for participation - Summer School on Computational Decision Sciences, London, Sept 7-11
by Subramoney, Anand June 23, 2026

June 23, 2026

Dear all, It’s our pleasure to announce the Graduate Summer School on Computational Decision Sciences (GSS-CDS<https://center-decision-sciences.com/cds-graduate-school-2026/>)––the second edition of the summer school at the Centre for Decision Sciences, Royal Holloway, University of London. What GSS-CDS will bring together an interdisciplinary audience tackling decision making in different scientific fields (see Program<https://center-decision-sciences.com/program-2026/>). The focus is on mathematical and computational modelling, integrating concepts and methods from mathematical psychology, computational psychiatry, computational neuroscience, computational social sciences, machine learning, and cultural evolution. Attendees will benefit from talks from leading researchers and practical hands-on sessions. Attendees will also have the opportunity to receive career advice during social networking events and reflect critically about research practices in EDI sessions. Where and When GSS-CDS will take place at Stewart House, within Senate House<https://center-decision-sciences.com/directions/>, in Central London, on September 7th-11th (see Schedule<https://center-decision-sciences.com/schedule-2026/>). Target audience GSS-CDS is targeted towards attendees from diverse fields (e.g., psychology, neuroscience, social sciences, computer science, etc.) and career stages (masters, PhD, postdoc, and junior PI). Prerequisite A basic background knowledge in elementary statistics (e.g., probability theory) and programming in Python/R is highly recommended to master the technical skills, but no prior experience with computational modeling is required. Registration Course fee is £480 (includes the registration fee, lunch, tea/coffee breaks, reception events and VAT). To register, please visit this page<https://center-decision-sciences.com/registration-2/>. Places are limited and registrations will close on Monday, June 15th, at 10am UK time. Please feel free to share this information with anyone you think might be interested in participating. Looking forward to seeing you all in September. Best wishes, Gabriele, Nura, Anand This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

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Last Call: Apply to the Master in Data Management and Curation in Trieste, Italy (Deadline: 30 June 2026)
by Eugenio Piasini June 22, 2026

June 22, 2026

Dear all, We would like to remind you that applications for the 2026–2027 edition of the Master in Data Management and Curation (MDMC), jointly organized by AREA Science Park<https://www.areasciencepark.it/en/> and SISSA<https://www.sissa.it/> in Trieste, Italy, are open until 30 June 2026, 1PM CEST. MDMC is an advanced postgraduate program designed to train the next generation of professionals in Research Data Management, FAIR data, Open Science, data stewardship, semantic technologies, and AI-enabled data infrastructures. The program combines lectures from international experts with a six-month internship carried out within leading research institutions and organizations like OGS<https://www.ogs.it/en>, FBK<https://energy.fbk.eu/>, FIF<https://www.fegato.it/eng/>, CNR-IOM<https://www.iom.cnr.it/> and several companies. Multiple forms of financial support are available for outstanding candidates: • 5 institutional fellowships offered by OGS<https://www.ogs.it/en>, SISSA<https://www.sissa.it/>, and AREA Science Park,<https://www.areasciencepark.it/en/> covering the participation fee and, in some cases, including an additional financial grant. • 8 additional tuition fee waivers for the highest-ranked candidates admitted to the program. • 6 excellence grants of €3,000. • Additional financial support opportunities for non-resident students. The total amount of available support makes MDMC accessible to a large number of talented candidates interested in pursuing a career in data management, data stewardship, Open Science, and research infrastructures. Further details on the program, admission requirements, and available fellowships can be found at: https://www.areasciencepark.it/call/mdmc/

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Doctoral and postdoctoral studies in the neuroscience of dynamic action planning and motor control, University of Montreal
by Paul Cisek June 22, 2026

June 22, 2026

Doctoral and postdoctoral studies in the neuroscience of dynamic action planning and motor control Department of Neuroscience, University of Montreal Applications are invited for doctoral and postdoctoral studies in systems neuroscience in the laboratories of Andrea Green and Paul Cisek. Successful applicants will join a multidisciplinary research group studying how the primate brain controls real-time, natural behavior in dynamic environments. Different projects address how we specify and plan potential actions such as reaching under changing conditions as we move through our environment, decide between actions even during ongoing behavior, control and learn to execute movements in different behavioral contexts (e.g., body stationary vs. in motion) and integrate multisensory cues to estimate and keep track of our motion through space. Research in our group involves single- and multi-electrode neural recording experiments in non-human primates, human behavioral studies using techniques such as transcranial magnetic stimulation and galvanic vestibular stimulation, and computational modeling of the nervous system. New collaborative projects will combine use of sophisticated spatial motion systems and virtual reality environments to study naturalistic behavior in both humans and non-human primates and develop computational models of real-time action selection, planning and control. For more information, see: https://neurosciences.umontreal.ca/recherche/les-chercheurs/andrea-green/ and https://cisek.org/pavel/ Multiple positions are available. All students with a strong background in biological sciences, engineering, mathematics, computer science, physics or psychology and an interest in system-level study of the brain are encouraged to apply. Prior experience in neurophysiology, behavioral neuroscience and/or computational modeling of neural systems is highly desirable. Depending on the applicant's qualifications and interests, they will help to design and conduct behavioral and neurophysiological experiments, analyze data, develop theoretical models of neural systems, prepare manuscripts for publication, and participate in international conferences. Interested candidates are asked to send a curriculum vita, copies of academic transcripts, a statement of research interests and the names and contact information for two references, to Andrea Green (andrea.green(a)umontreal.ca<mailto:andrea.green@umontreal.ca>) and Paul Cisek (paul.cisek(a)umontreal.ca<mailto:paul.cisek@umontreal.ca>). Applications will be accepted until the positions are filled, but preference will be given to applications received before July 31st, 2026. Paul Cisek, PhD Département de neurosciences Université de Montréal Physical: 2960 chemin de la tour, local 4117 Montréal, QC H3T 1J4 CANADA Mailing: CP 6128 Succursale centre-ville, Montréal, QC H3C 3J7 CANADA e-mail: paul.cisek(a)umontreal.ca<mailto:paul.cisek@umontreal.ca> Web: www.cisek.org/pavel<http://www.cisek.org/pavel>

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Andrew Barto speaking in Developing Minds Lecture Series on June 25
by Jochen Triesch June 22, 2026

June 22, 2026

Dear colleagues, On June 25, the Developing Minds global online lecture series is proud to host Andrew Barto, Prof. Emeritus of Univ. of Massachusetts Amherst, USA, speaking on „Rediscovering Reinforcement Learning“. His talk will take place at: 10:00 am EDT (Eastern Daylight Time, USA) 14:00 UTC (Universal Coordinated Time) 16:00 CEST (Central European Summer Time) 23:00 JST (Japan Standard Time). The talk will be hosted via zoom: https://uni-frankfurt.zoom-x.de/j/62410045708?pwd=EmEDiJtB0NZ0XPbSBngt6sbx2… Meeting-ID: 624 1004 5708 Kenncode: 883974 Abstract: The idea of reinforcement learning (RL) as a key principle of animal learning has been around at least since Edward Thorndike proposed the “Law of Effect” in 1898. Machine implementation of this principle began with electro-mechanical machines in the 1930s, and the earliest idea for computer implementation was probably Turing’s 1948 proposal of a computer implementation of a “pleasure-pain system”. In this talk I review what has followed Turing’s unimplemented proposal, starting with the first computer experiments in 1954, up to what we now know as modern computational RL. Short Bio: Andrew Barto is Professor Emeritus of Computer Science, University of Massachusetts Amherst, having retired in 2012. He served as Chair of the UMass Department of Computer Science from 2007 to 2011. He received a B.S. with distinction in mathematics from the University of Michigan in 1970, and a Ph.D. in Computer Science in 1975, also from the University of Michigan. He joined the Computer Science Department of the University of Massachusetts Amherst in 1977. Before retiring he co-directed the Autonomous Learning Laboratory at UMass Amherst, which produced many notable machine learning researchers. Professor Barto is a Fellow of the American Association for the Advancement of Science (AAAS) and a Fellow and Life Member of the IEEE. He received the 2004 IEEE Neural Network Society Pioneer Award for contributions to the field of reinforcement learning, the IJCAI-17 Award for Research Excellence for groundbreaking and impactful research in both the theory and application of reinforcement learning, and a University of Massachusetts Neurosciences Lifetime Achievement Award in 2019. Most recently, he and his former doctoral student, Richard Sutton, were co-recipients of the 2024 Association for Computing Machinery’s A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning, and he and Sutton received the 2026 IEEE Frank Rosenblatt Award for contributions to reinforcement learning and artificial intelligence. He has published over one hundred papers or chapters in journals, books, and conference and workshop proceedings. He is co-author with Sutton of "Reinforcement Learning: An Introduction," MIT Press, 1998. A much expanded second edition was published in 2018. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt Recent publications: https://www.nature.com/articles/s41467-025-64234-z https://ieeexplore.ieee.org/abstract/document/11204381?casa_token=RBlsm2RTa…

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Funded postdoctoral position in non-human primate electrophysiology in the Michaels Lab
by Jonathan Michaels June 21, 2026

June 21, 2026

Hi all, The Neural Control & Computation Lab at York University in Toronto, Canada, is recruiting a Postdoctoral Fellow. Under the direction of Jonathan Michaels, Ph.D., the fellow will investigate the neural basis of learning, flexible neural computation, and skilled movement control using large-scale electrophysiology from single-neuron populations in non-human primates, including high-density Neuropixels recordings and our recently developed capability for wireless, chronic Neuropixels recordings during naturalistic behavior. The fellow will be encouraged to develop an independent line of research within these themes. The fellow will join an exceptional and fast-growing neuroscience community. The lab is housed in York’s brand new, state-of-the-art Neuroscience Facility, which includes lab and office space for multiple neuroscience research labs and access to shared infrastructure such as MRI and CT. York is home to a collaborative community spanning the Centre for Integrative and Applied Neuroscience (CIAN), the Centre for Vision Research (CVR), and the Connected Minds (Neural and Machine Systems for a Healthy, Just Society) initiative. Toronto – Canada’s largest and most diverse city – offers a dense concentration of neuroscience research and an incredible culture and environment. This is a two-year funded position, with the potential for extension, offering a competitive salary (starting at $65k/year), benefits, and a negotiable start date (earliest September 2026). Visa and moving support are provided for international applicants. Applicants should hold a Ph.D. in Neuroscience or a closely related discipline. Favorable consideration will be given to candidates with expertise or substantial interest in one or more of the following: non-human primate electrophysiology, large-scale neural data analysis, computational modeling of neural circuits or motor control, and a strong record of research productivity. To apply, please email the following to Dr. Michaels: a cover letter describing your research experience and interests and how they align with the lab, a CV, one to two representative publications or preprints, and the names and contact information of two references. Review of applications will begin immediately and continue until the position is filled. https://www.ncclab.ca/join-the-lab (link to job ad and more info) Best, Jonathan __________________________________ Jonathan A. Michaels, Ph.D. Assistant Professor Neural Control & Computation Lab School of Kinesiology & Health Science York University

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World wide VVTNS series (6th season): June 24 2026 | From Cajal’s Spines to Digital Neurons: Connectomics View on Dendritic Computations | Idan Segev, The Hebrew University of Jerusalem
by David Hansel June 21, 2026

June 21, 2026

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the VVTNS Sixth Season Closing Lecture Idan Segev The Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem on the topic of From Cajal’s Spines to Digital Neurons: Connectomics View on Dendritic Computations The lecture will be held on Zoom on June 24, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Dendritic spines are among the smallest structures in the brain, yet they hold some of the deepest clues to how neurons compute and store memories. In this lecture, I will revisit the classical question of spine biophysics in the new age of connectomics, where nanometer-resolution electron microscopy allows us to reconstruct whole neurons with thousands of synapses and spines. I will show how spine density, spine-neck resistance, and the irregular geometry of individual spines can shape local synaptic signals, generate fast voltage dynamics, influence excitatory/inhibitory gating, and affect communication between neighboring spines. I will then discuss how automated reconstruction pipelines and biophysical modeling now make it possible to build digital neurons at spine and synapse resolution, and how AI-based approaches, such as our new AI-based TwinProp algorithm, allow us to ask - and get answer - to a fundamental question: what can a neuron compute? I will end by claiming that we now enter a new age of connectomics that provides an essential constraint on understanding how synapses, neurons, and circuits perform their computational functions. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ

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Fully funded openings for international postdocs at the Tchumatchenko lab
by Tatjana Tchumatchenko June 20, 2026

June 20, 2026

Dear friends and colleagues, I am looking to recruit international postdoctoral fellows to my lab. It would be great to attract scientists who didn't have yet exposure to the German neuroscience community and who would bring complementary expertise and perspectives. *Two postdoc positions (m/f/d) are available in the Tchumatchenko group.* The Tchumatchenko Group is seeking to attract two highly motivated postdoc candidates (0-5 years post PhD) to conduct research in the field of computational neuroscience. Prof. Tatjana Tchumatchenko was recently appointed a Henriette Herz scout at the Alexander von Humboldt foundation and is looking to attract two international postdocs though this funding scheme [1]. The ideal candidate will be an international, highly motivated, scientifically curious postdoctoral fellow with a strong work ethic and a PhD degree in life sciences, Neuroscience, Physics, Mathematics, Engineering or similar disciplines who looking to answer open question in computational neuroscience. Great social skills, excellent command of the English language and enthusiasm for working in a competitive interdisciplinary research team are essential. Potential scientific projects should lie either at the boundary between behavioral analysis and circuit neuroscience or at the boundary between molecular dynamics and circuit neuroscience: how is the molecular dynamics organized across the brain and what are statistical differences across cell types? How can we design computational models and conduct data analysis at the level transcriptomes and proteomes to understand the implementation of physiological and behavioral conditions across the brain? How can we relate learning at the level of synapses and circuits to behavioral changes observed in animals? Can we identify behavioral states and link them to particular circuit activity states? Please send your application together with a cover letter, a CV with contact details from one academic reference and copies of all relevant degree certificates to tatjana.tchumatchenko(a)uni-bonn.de. Please include in your subject line “AvH Application your name”. We are looking forward to your application! Duration and salary will be according to the fellowship scale of the Alexander von Humboldt foundation. Start date negotiable. [1] https://www.humboldt-foundation.de/bewerben/foerderprogramme/henriette-herz… Best wishes, Tatjana Tchumatchenko -- Tatjana Tchumatchenko Professor (W3) for Computational Neuroscience of Behavior Chair Bonn Center for Neuroscience co-Speaker TRA Life and Health __________________________________________________ Institute for Experimental Epileptology and Cognition Research Medical Faculty, University of Bonn Am Propsthof 49 53121 Bonn www.tchumatchenko.de

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Call for Abstracts – 2 July 2026, Uni. Porto, Workshop "Ethics and Politics of AI" [deadline: 20 June 2026]
by steven gouveia June 18, 2026

June 18, 2026

[Call for Abstracts] Workshop Ethics and Politics of Artificial Intelligence 2 July 2026 | 10h00-17h00 | Casa dos Livros (Palacete Burmester - Rua do Campo Alegre, 1055, 4150-181 Porto - Portugal) The Workshop: Ethics and Politics of AI brings together researchers, academics, and graduate students to examine central ethical and political questions raised by contemporary artificial intelligence. The workshop welcomes contributions from moral and political philosophy, philosophy of technology, applied ethics, law, social theory, and related interdisciplinary fields. Its aim is to promote focused discussion on the institutional, normative, and democratic challenges created by AI systems in contemporary societies. The final deadline to submit proposals is June 20, 2026. KEYNOTE SPEAKERS: * Chiara Cordelli is Professor of Political Science at the University of Chicago. * Radu Uszkai is a Lecturer and Researcher at the Bucharest University of Economic Studies and the Research Centre in Applied Ethics. Topics might include (but are not limited to): 1. AI, democracy, and political authority 2. Responsibility, accountability, and institutional design 3. Fairness, bias, and structural injustice 4. Transparency, explainability, and public justification 5. AI governance, regulation, and human rights 6. Privacy, surveillance, and data politics 7. AI, labour, education, and inequality 8. Misinformation, manipulation, and epistemic harms 9. Healthcare, Law and Educational Impact of AI 10. Environmental and infrastructural ethics of AI Language of the workshop: English. Attendance: Free. In-person only. Note: There will be no fee to participate as a speaker in this workshop. Please note that we are unable to provide financial support for travel, accommodation, or meals for accepted speakers. SUBMISSIONS: * Proposals should include two files in Word format (PDF formats will not be accepted): * (1) a cover page with identification and clear academic affiliation * (2) an anonymized title and abstract (maximum 250 words, up to 5 references) * sent to stevensequeira92(a)hotmail.com<mailto:stevensequeira92@hotmail.com> * Paper duration: 30 minutes (20 minutes presentation + 10 minutes for discussion); * Notification Info: notification of acceptance or rejection will be given after review of the submitted proposal; * Publications: selected papers may be considered for future publication projects; the publication process will be independent and optional; * Any doubts or concerns can be addressed to: stevensequeira92(a)hotmail.com<mailto:stevensequeira92@hotmail.com> Info: https://ifilosofia.up.pt/activities/workshop-ethics-politics-ai Venue: Casa dos Livros, Palacete Burmester - Rua do Campo Alegre, 1055, 4150-181 Porto - Portugal Organization: Steven S. Gouveia (IF/UP) CEEC Project by FCT 2022.02527.CEECIND Mind, Language and Action Group (MLAG) Instituto de Filosofia da Universidade do Porto – UID/00502/2025 Fundação para a Ciência e a Tecnologia (FCT)

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Two NeuroAI / Comp Neuro faculty positions at UCL
by Daniel Bush June 16, 2026

June 16, 2026

Hello all We are currently recruiting two computational neuroscientists to join the UCL Division of Biosciences (at Lecturer / Assistant Professor or Associate Professor level) One candidate will be based in the department of Neuroscience, Physiology & Pharmacology (NPP<https://www.ucl.ac.uk/life-sciences/npp>) and the other in Cell and Developmental Biology (CDB<https://www.ucl.ac.uk/life-sciences/cdb>) Please see further details here<https://tinyurl.com/4wnzvjc2>. The application deadline is 10th July 2026 Many thanks Dan ---------------------------------------------------- Dr. Daniel Bush GM01, Medical Sciences Building, Gower Street, London, WC1E 6BT Principal Investigator, UCL Human Electrophysiology Lab<https://bushlab-ucl.github.io/> Associate Professor, UCL Department of Neuroscience, Physiology and Pharmacology<https://www.ucl.ac.uk/npp/> Section Editor, PLoS Computational Biology<https://journals.plos.org/ploscompbiol/>

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Graduate student and postdoctoral positions available in the Active Perception Laboratory at UR
by Poletti, Martina June 15, 2026

June 15, 2026

Graduate student and postdoctoral positions are available in the Active Perception Laboratory (http://aplab.bcs.rochester.edu) at the University of Rochester to study the perceptual consequences of eye movements under the supervision of Dr. Martina Poletti and/or Dr. Michele Rucci. We are particularly interested in recruiting candidates interested in investigating the roles of eye movements in establishing spatial representations, the spatiotemporal dynamics of foveal and extrafoveal processing, the interplay between eye movements, retinal anatomy, and attention, and the possible roles of eye movements in emmetropization and myopia. Research in the laboratory focuses on the interaction between vision and behavior. Our work relies on the integration of theoretical and experimental approaches to investigate how visual functions unfold in the presence of normal and abnormal motor activity, how vision guides behavior, and how changes in visual input signals and modulations associated with behavior contribute to perception. The laboratory is equipped with a unique array of tools, many developed in-house, to investigate the synergy between visual, motor, and cognitive processes (https://aplab.bcs.rochester.edu/facilities.html#<https://aplab.bcs.rochester.edu/facilities.html>). Approaches include human psychophysics with precisely controlled retinal stimulation, computational modeling, precise measurements of head and eye movements, high-resolution retinal imaging, and electroencephalography (EEG) during active vision. A full list of our publications can be found at https://aplab.bcs.rochester.edu/publications.html. The ideal candidate would have a strong interest in vision science, a background in related areas, and experience with data analysis and computer programming. Prior experience in eye-tracking, psychophysics, computational modeling, signal processing, and/or electroencephalography is a plus. Motivation and independence are important, as well as the ability to work well in a team. The University of Rochester offers a highly collaborative and stimulating research environment with excellent opportunities for interactions and training in vision science and neuroscience. The laboratory is located within the Center for Visual Science (http://www.cvs.rochester.edu/) and the department of Brain & Cognitive Sciences (http://www.sas.rochester.edu/bcs/) Ongoing collaborations at the University of Rochester include the Flaum Eye Institute (https://www.urmc.rochester.edu/eye-institute.aspx) the Institute of Optics (http://www.hajim.rochester.edu/optics/) and the department of Neuroscience (https://www.urmc.rochester.edu/neuroscience.aspx) To apply, please send curriculum vitae, a statement of research interests and accomplishments, and the names of two references to Martina Poletti (martina_poletti(a)urmc.rochester.edu<mailto:martina_poletti@urmc.rochester.edu>) and Michele Rucci (mrucci(a)ur.rochester.edu<mailto:mrucci@ur.rochester.edu>). ------ Martina Poletti, PhD Associate Professor Department of Brain and Cognitive Sciences Department of Neuroscience Center for Visual Science University of Rochester Active Perception Laboratory web: https://www.sas.rochester.edu/bcs/people/faculty/poletti_martina/index.html aplab.bcs.rochester.edu<http://aplab.bcs.rochester.edu/>

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New Fellowship Sponsorship Scheme at SWC/Gatsby Unit, UCL
by Alison Cranage June 15, 2026

June 15, 2026

Dear all, The Sainsbury Wellcome Centre (SWC) and the Gatsby Computational Neuroscience Unit, based at UCL in London, have launched a Fellowship Sponsorship scheme. We are inviting expressions of interest from outstanding postdoctoral researchers seeking sponsorship to apply for external career fellowships, with the aim of establishing an independent research programme in the mechanistic theories of neural computation or learning. The successful candidate would be hosted at SWC and the Gatsby Unit, working at the interface of computational theory and experimental neuroscience, with access to mentorship and fellowship application support. Full details, including eligibility criteria and how to apply, are available on our website: https://www.sainsburywellcome.org/content/fellowship-sponsorship The closing date for expressions of interest is 16 July 2026. I would be very grateful if you could share this message with anyone who might be interested. Best wishes, Ali ALISON CRANAGE Research Communications and Engagement Manager Sainsbury Wellcome Centre 25 Howland Street  London  W1T 4JG   Email     a.cranage(a)ucl.ac.uk<mailto:a.cashin-garbutt@ucl.ac.uk>  Phone   +44 (0) 7917 922 068   Bluesky<https://bsky.app/profile/sainsburywellcome.bsky.social> | LinkedIn<https://www.linkedin.com/company/sainsbury-wellcome-centre> | Facebook<https://www.facebook.com/SainsburyWellcomeCentre/> | Instagram<https://www.instagram.com/sainsburywellcomecentre/> | sainsburywellcome.org<https://www.sainsburywellcome.org/>   [cid:image001.png@01DCFA80.F4BC95F0]

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Fwd: [seminar.wwtns] World wide VVTNS series (6th season): June 17 2026 | From microcircuits to cortex-wide networks: connectivity and information-flow underlying goal-directed behavior| Arseny Finkelstein, Tel Aviv University
by David Hansel June 14, 2026

June 14, 2026

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Arseny Finkelstein Tel Aviv University on the topic of From microcircuits to cortex-wide networks: connectivity and information-flow underlying goal-directed behavior The lecture will be held on Zoom on June 17, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Regulation of information flow in neuronal circuits is fundamental to flexible, goal-directed behavior. In this talk, I will discuss how cortical circuits organize neural activity and connectivity across spatial scales, from local microcircuits to distributed cortex-wide networks. Using naturalistic multidirectional reaching in mice, combined with large-scale calcium imaging and causal connectivity mapping of >20,000,000 neuronal pairs, we identified connectivity motifs and population dynamics underlying goal-directed behavior. I will first describe the organizational principles of the motor cortex, where neurons are arranged into functional mini-columns with recurrent connectivity motifs linked to task-related activity, and discuss the potential computational advantages of this architecture. I will then show how these principles extend to larger spatial scales. Imaging ~1,000,000 neurons across 10 cortical regions revealed high-dimensional local population activity patterns alongside coordinated cortex-wide dynamics mediated by synchronized inter-areal communication. These distributed network dynamics supported high-dimensional representations of short-term memory for target location. Together, these findings reveal how cortical networks are organized across spatial scales to support cognition. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ

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PhD Position at the the Institute of Neurosciences, Alicante
by Maximilian Eggl June 13, 2026

June 13, 2026

Dear all, We are seeking a highly motivated PhD student to join the Translational Imaging Biomarkers Lab at the Institute of Neurosciences (CSIC–UMH, Alicante, Spain), working Dr. Maximilian Eggl and collaborating with Dr. Silvia De Santis. The position is fully funded for 3 years (with possible extension) and has an expected start date in Autumn 2026. Our research combines mathematics, machine learning, neuroimaging, and neuroscience to develop innovative computational tools for understanding brain health and disease. Current research directions include AI-inspired biomarkers of brain structure and function, simulation-based inference, quantitative MRI, computational neuroscience, and mechanistic modelling of biological systems. The successful candidate will join a highly interdisciplinary and international research environment at the interface of neuroscience, mathematics, artificial intelligence, and medical imaging. The exact project will be tailored to the interests and background of the successful candidate. Applicants should have (or be close to obtaining) a Master's degree in a quantitative discipline such as applied mathematics, physics, computer science, engineering, data science, computational neuroscience, or a related field. Strong programming skills (preferably in Python) and experience with mathematical modelling are required. Experience with machine learning, scientific computing, Bayesian inference, neuroimaging, or computational neuroscience is advantageous but not required. The Institute of Neurosciences (CSIC–UMH) is one of Europe's leading neuroscience research centres, bringing together researchers across molecular, cellular, systems, and computational neuroscience. Located in Alicante on Spain's Mediterranean coast, the institute offers an outstanding research environment together with an excellent quality of life, including year-round sunshine, beaches, and easy access to outdoor activities. Interested candidates are encouraged to contact meggl(a)umh.es with a CV and a 300 word description of interest. Further information can be found in the following flyer <https://in.umh-csic.es/wp-content/uploads/2026/06/Advertisement.pdf>. Please feel free to distribute this announcement to interested students and colleagues. Best regards, Max ******************************************** Maximilian Eggl, PhD La Caixa Junior Leader Fellow | CSIC - Spanish National Research Council Instituto de Neurociencias, CSIC/Universidad Miguel Hernandez, Alicante, Spain Web: mfeggl.github.io ********************************************

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Computational Consciousness Science - 1 August 2026, New York
by Paul Linton June 13, 2026

June 13, 2026

We are pleased to announce a one-day meeting (a CCN 2026 <https://2026.ccneuro.org/> satellite event) on 1st August 2026 in New York: COMPUTATIONAL CONSCIOUSNESS SCIENCE A recent explosion of interest in computational models of consciousness comes both from our attempts to extend computational models of perception and cognition to their subjective aspects and from the importance of consciousness to the ethical implications of AI models. This satellite meeting examines computational approaches from the points of view of philosophy, psychology, and neuroscience, with keynotes from David Chalmers (philosophy), Marisa Carrasco (psychology), and Biyu He (neuroscience). There will also be research talks from faculty, postdocs, and PhDs highlighting the contribution of computational models to our understanding of change-blindness, iconic memory, spatial perception, and visual illusions, as well as helping us to develop new measures of conscious awareness. A closing panel discussion will explore new and future directions for the emerging discipline of computational consciousness science. Date: Saturday, August 1, 2026 Location: NYU Department of Philosophy, 5 Washington Place, New York, NY 10003 Registration: Free but please register because we have to give a list of attendees to security. Link for details and registration: https://computationalconsciousness.github.io/

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Call for registration and contribution to Systems Vision Science (SVS) Virtual Symposium: July 31, 2026
by Pavlovic, Maria June 12, 2026

June 12, 2026

<https://summerschool.lizhaoping.org/symposium-2026/> Systems Vision Science (SVS) Virtual Symposium: July 31, 2026, 14:00-18:00 German Time as the end of the <https://summerschool.lizhaoping.org/application-virtual-svs/> Systems Vision Science Virtual Summer School, which is a virtual edition of the onsite <https://summerschool.lizhaoping.org/editions-in-previous-years/> summer schools and symposiums of SVS. We invite <https://docs.google.com/forms/d/e/1FAIpQLSfCIzbDUeswiWyB39JE9VX7Jj-DYJ5ajh8…> free registration and contribution for symposium participation and/or contribution. -------------------------------- The symposium will include two keynote speeches (30 min each): “Corticocortical Feedback as a Unifying Mechanism for Visual Perception and Learning” by <https://brain.bnu.edu.cn/English/Faculty/CurrentFaculty/Lzz/3531a3bc3145494…> Wu Li, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University "Using illusions and art to understand the visual brain" by <https://cavlab.net/page/> Patrick Cavanagh, Center for Vision Research, York University and invited and contributed speeches (15 minutes each). Invited speakers include Daniel Anthes, Marlene Behrmann, Marisa Carrasco, Winrich Freiwald, Richard Krauzlis, Lisa Kroell, and Zygmund Pizlo. The presentation topics will be any of <https://www.lizhaoping.org/Systems-Vision-Science.html> Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover and investigate functions and algorithms for vision in various brain regions and their implementations in neural circuits. -------------------------------- To contribute or register, please fill out our registration form <https://docs.google.com/forms/d/e/1FAIpQLSfCIzbDUeswiWyB39JE9VX7Jj-DYJ5ajh8…> ( which has an option to submit an abstract for contribution). Deadline for submitting contribution is July 12, 2026, and registration without contribution is open until capacity is reached. The zoom link for joining the symposium will be sent to the registrants. Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> . -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Vladislav Aksiotis Kai Rothe Max-Planck-Institute for Biological Cybernetics University of Tübingen

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AISB26 @Sussex - final chance for early bird registration
by Simon Bowes June 11, 2026

June 11, 2026

AISB Convention 2026<https://aisb.org.uk/aisb-convention-2026/> Final extension to the early bird rate till 12th June! 1-2 July 2026 University of Sussex, Brighton, UK The 2026 convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) will be held as an in-person only event on 1st and 2nd July 2026, at the beautiful Sussex campus, surrounded by the South Down’s National Park, minutes by train from the vibrant beachside town of Brighton. The day before, on 30 June, we are holding a Day of celebration for the life and work of Prof Margaret Boden. This will include talks on themes related to her work, personal reflections by those who worked with her, and a panel discussion on her legacy. See: https://www.sussex.ac.uk/cogs/seminars/celebrating-margaret-boden Programme & Tracks – see links for detailed schedule of talks in each symposium 1st July Keynote: Anil Seth (Professor of Cognitive and Computational Neuroscience<https://profiles.sussex.ac.uk/p22981-anil-seth>, University of Sussex): The case against conscious AI * Explainability and Transparency in AI (XTAI-2026) (https://xtai-symposium.github.io/<https://xtai-symposium.github.io/>) * AI, Consciousness and Ethics (https://aice-symposium.github.io/ ) * Hype, Promise, and Speculation: AI Bubbles and the Replication Crisis in Computer Science (https://aisb.org.uk/aisb-2026-symposium-hype-promise-and-speculation/<https://aisb.org.uk/aisb-2026-symposium-hype-promise-and-speculation/>) * Ethics of Generative-AI Assisted Authoring (https://sussexhumanitieslab.wordpress.com/2026/01/16/aisb-2026-symposium-1-…) * Varieties of free will and agency (https://freewillandagency.wordpress.com/<https://freewillandagency.wordpress.com/>) * Symposium on AI and Cognitive Sciences in Education (AICSED2026) (https://aicsed.github.io/2026/) 2nd July Keynote: Philip Ball: Science Writer<https://en.wikipedia.org/wiki/Philip_Ball> The Space of Possible Minds * AI, Consciousness and Ethics 2 (https://aice-symposium.github.io/) * Foundations of computation (https://sites.google.com/view/foundations-of-computation) * Is consciousness a story we tell ourselves? Internal language and consciousness after chain of thought reasoning (https://astorywetell.github.io/) * Is there still life in the Turing test? (https://turingtestlives.wordpress.com/<https://turingtestlives.wordpress.com/>) * Values and Preferences in Reasoning (https://www.vprsymposium.com/<https://www.vprsymposium.com/>) There will also be a general track for individuals who would like to present their standalone research. Conference Dinner: The Seahorse (https://seahorsebrighton.co.uk/) * Three course set menu, with 3 drinks included (£56.75), on the beach. Conference registration includes: * Breakfast (coffee & pastries) * Buffet lunch * Afternoon coffee General Information The University of Sussex campus is a modernist masterpiece surrounded by the South Downs National Park, just a few minutes by train from the vibrant and open-minded city of Brighton, with its historical beach, famous club/pub scene, and many quirky shops. Easily reachable from Gatwick (30 mins) and London (1 hour). Founded in the ‘60s with a charter emphasising interdisciplinarity, in the 80’s Professor Margaret Boden established the School of Cognitive and Computing Sciences (COGS), a groundbreaking centre for research and teaching in AI. COGS continues to deliver interdisciplinary education and host cutting-edge research. Registration Registration is available on the convention webpage: https://aisb.org.uk/aisb-convention-2026/. Registration fees Full One day Earlybird Regular Earlybird Regular Attendees – members £250 £280 £190 £220 Attendees – non-members £310 £340 £250 £280 Student members £150 £170 £110 £130 Student non-members £180 £200 £140 £160 Corporate rate £600 £660 £450 £510 (Early bird rate until 12th June) Program Committee General Chair: Bertie Müller (Swansea University) Convention Organiser: Simon Bowes (University of Sussex) Venue University of Sussex Falmer Brighton, BN1 9RH United Kingdom Travel Local Bus Services Brighton & Hove Buses (https://www.buses.co.uk/) has an extensive network of buses around town, to the campus, and onwards to Lewes and other nearby towns. Arriving By Train The Gatwick Express (https://www.gatwickexpress.com/) runs from Brighton to London. Arriving By Car Details of getting to Sussex campus by car, parking, and other transport information can be found here: https://www.sussex.ac.uk/about/directions Accommodation VisitBrighton is the official accommodation booking provider for AISB26. They are delighted to offer specially negotiated accommodation rates for attendees at local hotel accommodation. This website<https://book.passkey.com/go/aisb2026> will be open for bookings until 24 June 2026 but we advise early booking in order to guarantee your preferred hotel. Through this website you can book, modify or cancel your hotel reservations at any time. On the website you can also find links to information on travel, food and entertainment in the city. We look forward to seeing you. Delegates can also benefit from discounts to attractions, restaurants and shops: https://www.visitbrighton.com/special-offers/delegate-deals-o2311<https://www.visitbrighton.com/special-offers/delegate-deals-o2311>

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PhD position in brain-like machine intelligence and artificial cognition at KTH Royal Institute of Technology, Stockholm
by Pawel Andrzej Herman June 10, 2026

June 10, 2026

Dear Colleagues I am writing to draw your attention to a PhD position in brain-like machine intelligence and artificial cognition (https://www.kth.se/lediga-jobb/938381?l=en) in Computational Cognitive Brain Science lab in the Department of Computational Science and Technology at KTH Royal Institute of Technology, Stockholm. The goal of the project is to develop and simulate large-scale neural network models of the brain’s cognitive function with focus on cortical memory system, and use them to make advances towards brain-like intelligent systems. Special focus is on coupling multiple neural networks to study neural interactions between different cortical regions supporting cognitive function. You are expected to build such large-scale brain plausible network-of-networks models in the continuum between spiking and non-spiking computations, and hence propose novel architectural blueprint for AI agents. Please find more details in the ad: https://www.kth.se/lediga-jobb/938381?l=en. Application deadline: July 10, 2026. Please contact me if you have any questions! Best Pawel Herman ------------------------------------ [cid:image001.jpg@01DCF901.8C47C6F0] Paweł Herman Associate Professor, PhD, Docent KTH Royal Institute of Technology School of Electrical Engineering and Computer Science (EECS) Division of Computational Science and Technology (CST) Lindstedtsvägen 5 114 28 Stockholm, Sweden room 4442 (4th floor, D-building)

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