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Jenny Saffran speaking on Thursday, December 4 in Developing Minds global online lecture series
by Jochen Triesch Nov. 21, 2025

Nov. 21, 2025

Dear colleagues, On December 4, the Developing Minds global online lecture series is proud to host Jenny Saffran from Univ. of Wisconsin-Madison, speaking on: "Learning to understand: Statistical learning and language development“. Thursday, December 4, 2025 8:00 am CT (Central Time, USA) 2:00 pm UTC (Universal Coordinated Time) 15:00 CET (Central European Time) 23:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/65360492761?pwd=E7EbBT8uMVWgyhBAYAJgLz33R… Meeting-ID: 653 6049 2761 Kenncode: 352501 Abstract: Infants rapidly develop from being naïve listeners, who experience language as a sea of sounds, to understanding their native language(s). How does this remarkable learning process unfold? One potentially useful source of information lies in the statistical patterns that characterize natural languages, which signal structures ranging from phonemes to words to grammatical structures. Beyond merely tracking these patterns, how might infants use statistical regularities to support language development? In my presentation, I will explore the hypothesis that infants exploit statistical regularities in the service of efficiently processing information in their linguistic environments. Short Bio: Dr. Jenny Saffran has been on the faculty of the University of Wisconsin-Madison since she received her Ph.D. in 1997. Her research program focuses on how infants learn, particularly in the domain of language. She is a highly engaged teacher and mentor to students at all levels. Dr. Saffran is the recipient of numerous awards for her scholarship and teaching, including as the inaugural recipient of the Jeffrey Elman Prize for Scientific Achievement and Community Building from the Cognitive Science Society. She was elected to the American Academy of Arts and Sciences in 2015. 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 http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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Computational Neuroscience graduate training at Penn
by Maria Geffen Nov. 20, 2025

Nov. 20, 2025

The Computational Neuroscience Initiative<https://www.cni.upenn.edu/> at the University of Pennsylvania offers a new program for Interdisciplinary Training in Computational Neuroscience (ITCN) at the doctoral level. The goal of the ITCN is to train a new generation of scientists who will make quantitative links between properties of the brain and properties of the mind. ITCN trainees will learn to use computational methodology to interpret experimental results, build predictive models of brain function that inform the design of the experiments, and support an ever-growing list of applications from brain-machine interfaces in the clinic to cutting-edge forms of artificial intelligence. The ITCN brings together students and faculty<https://www.cni.upenn.edu/people> from Penn’s PhD programs in Neuroscience<https://www.med.upenn.edu/ngg/> (Biomedical Graduate Studies, Perelman School of Medicine), Bioengineering<https://be.seas.upenn.edu/doctoral/> (School of Engineering and Applied Science), Physics<https://www.physics.upenn.edu/graduate/> (School of Arts and Sciences), and Psychology<https://psychology.sas.upenn.edu/graduate> (School of Arts and Sciences). To join the ITCN, students first apply to one of those "home" PhD programs. Once admitted, students then typically apply to the ITCN before starting classes in their first year. Those selected meet with the ITCN Advisory Committee, both individually and as a group, to develop individualized training plans that meet the goals and requirements of the ITCN and each student’s home program. These plans include coursework, research, and other activities that aim to build both expertise in computational neuroscience and a sense of community in the ITCN. Details are provided below. The ITCN embraces diversity and inclusion in their many forms, including welcoming students with a broad range of personal, professional, and academic backgrounds into both our training program and the field of computational neuroscience as a whole. Application. The application deadline is Dec. 1 for the Neuroscience<https://apply.med.upenn.edu/apply/>, Psychology<https://apply.graduateadmissions.upenn.edu/apply/> and Physics<https://apply.graduateadmissions.upenn.edu/apply/>, and Dec. 15 for Bioengineering<https://gradadm.seas.upenn.edu/how-to-apply/> PhD programs! Prospective PhD students must first apply and be accepted into one of our participating graduate programs: Neuroscience<https://www.med.upenn.edu/ngg/>, Bioengineering<https://be.seas.upenn.edu/doctoral/>, Physics<https://www.physics.upenn.edu/graduate/>, or Psychology<https://psychology.sas.upenn.edu/graduate> (PhD students admitted to other PhD programs at Penn may also be considered; see below for additional requirements). Students typically apply to the ITCN before starting classes in their first PhD year, although we will also consider applications from students in more advanced years who believe they will be able to meet our academic requirements. Selection into the ITCN does not require a background in computational neuroscience. Instead, we require: 1) a brief (~½ page) essay describing why you want to join the ITCN and how it would fit into your training and career plans; 2) written permission from your Graduate Chair (and, for MD-PhD or VMD-PhD students, the Director of your Combined Degree Program); and 3) if you are not in one of our four participating programs, descriptions of the funding source(s) and course and research requirements for your home PhD program. Please send your application materials, and/or any questions, to Vijay Balasubramanian<mailto:vijay@physics.upenn.edu>, Maria Geffen<mailto:mgeffen@pennmedicine.upenn.edu>, and/or Joshua Gold<mailto:jigold@pennmedicine.upenn.edu>. ________________________________ Maria Neimark Geffen, Ph.D. (she/her) Professor Co-director, Penn Computational Neuroscience Initiative Department of Otorhinolaryngology: HNS (primary) Department of Neuroscience Department of Neurology Perelman School of Medicine University of Pennsylvania 5 Ravdin 3400 Spruce St. Philadelphia PA 19104 Tel.: 215.898.0782 My zoom<https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> mgeffen(a)pennmedicine.upenn.edu<mailto:mgeffen@pennmedicine.upenn.edu> http://hosting.med.upenn.edu/hearing https://bsky.app/profile/geffenlab.bsky.social

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Call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026.
by Auke Ijspeert Nov. 20, 2025

Nov. 20, 2025

Call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026. Dear computational neuroscientists, We are happy to announce the *Gordon Research Conference (GRC) in Robotics *that will take place in Ventura (USA), January 11-16 2026. We have a great list of speakers and discussion leaders (see below and the website). The schedule has been published, and a call for participation and for posters in now open, see https://www.grc.org/robotics-conference/2026/ *Please apply soon, as the total number of participants is limited*.*December 14 is the final deadline, but the remaining seats will likely be assigned by then.* Note also the Robotics Gordon Research Seminar (GRS) that takes place just before (Jan 10-11) and that provides a unique forum for young doctoral and post-doctoral researchers to present their work, https://www.grc.org/robotics-grs-conference/2026/. This year’s conference will focus on *adaptive behavior and learning in animals and robots*. We will explore how biological inspiration drives advancements in robotics, from simple reactive behaviors to complex planning and learning systems. Insights from biomechanics, neuroscience, and animal studies are increasingly shaping the design and control of robots, making them more robust and adaptable. A key focus will be on *embodied intelligence, enabling robots to excel in locomotion, manipulation, and interactions with other agents*. Conversely, robotics research is also contributing to biology. Studies of perception and action in robotic systems are leading to new mathematical models that help integrative biologists understand locomotion, manipulation, and collective behavior in animals. By *bringing together experts from robotics, biomechanics, and neuroscience*, this conference aims to foster cross-disciplinary insights that will push the boundaries of both fields. Join us for a dynamic exchange of ideas at the intersection of robotics and biology, where engineering meets evolution. /The Robotics GRC is a premier, international scientific conference focused on advancing the frontiers of science through the presentation of cutting-edge and unpublished research, prioritizing time for discussion after each talk and fostering informal interactions among scientists of all career stages. The conference program includes an array of speakers and discussion leaders from institutions and organizations worldwide, concentrating on the latest developments in the field. The conference is five days long and held in a remote location to increase the sense of camaraderie and create scientific communities, with lasting collaborations and friendships. In addition to premier talks, the conference has designated time for poster sessions from individuals of all career stages, and afternoon free time and communal meals allow for informal networking opportunities with leaders in the field./ Best regards, Auke Ijspeert and Vijay Kumar, organizers./ / *Confirmed speakers:* Alin Albu-Schaeffer Nora Ayanian Spring Berman Oliver Brock Rod Brooks Bingni Brunton Henrik Christensen Kenji Doya Nadia Figeroa Josie Hughes Marco Hutter Monroe Kennedy Dan Koditschek Cecilia Laschi Yasemin Ozkan-Aydin Tony Prescott Amanda Prorok Daniela Rus Giulio Sandini Stefan Schaal Claire Tomlin Kotaro Yasui *Confirmed discussion leaders:* Josie Hughes Dan Koditschek Cecila Laschi Chen Li Barbara Mazzolai Yasemin Ozkan-Aydin Stefan Schaal Giulio Sandini Barry Trimmer -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert (he/him) Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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Postdoc position in computational NS - Ruhr University Bochum, Germany
by Vinita Samarasinghe Nov. 20, 2025

Nov. 20, 2025

*Position as Postdoctoral Scholar in Computational Neuroscience* Are you curious about how the human brain stores memories? Have you wondered how we manage to navigate through space? Our dynamic research group uses diverse computational modeling approaches, including biological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. Currently, we are actively seeking a talented *Postdoc* to join our team, someone whose primary task will be developing advanced algorithms to analyze learning dynamics. You will be analyzing neural, psychophysiological, and behavioral data from other projects within the SFB 1280 (https://sfb1280.ruhr-uni-bochum.de/en/home/ project F01) to compare learning dynamics across individuals, species, and paradigms. You will provide theoretical support to collaborating projects and coordinate the analysis of the data collected from experimental groups. This position is 100% at TV-L E13, starting on 01.03.2026, and is funded until 30.06.2029. *Your Profile:* Candidates must have: * an excellent doctoral degree in neuroscience, physics, mathematics, engineering, or a related field (mandatory) * competence in mathematical modeling (mandatory) * excellent programming skills, e.g., Python (mandatory) * relevant research experience in neuroscience or a related field is required * experience in the study of learning dynamics * experience working within a collaborative research group * excellent communication skills in English, and * team spirit. We are committed to providing a supportive work environment for female researchers and those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare can be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. We strongly encourage applications from qualified women and persons with disabilities. The official posting for this position can be found at https://jobs.ruhr-uni-bochum.de/jobposting/ca74ad0f5c0f99ec276b0d6ca56195d5… To apply please submit an application via our online portal https://jobs.ruhr-uni-bochum.de/en/jobposting/ca74ad0f5c0f99ec276b0d6ca5619… Upload your letter of motivation, CV, transcripts and research statement. *Application deadline:* 01.01.2026 Please feel free to get in touch with me if you have any questions. Vinita Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0)234 32 27996 Mobile: +49 (0)1512 7278698 Email: samarasinghe(a)ini.rub.de

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[Meetings] Deadline reminder: 2026 Nengo Summer School Call For Applications
by Madeleine Bartlett Nov. 20, 2025

Nov. 20, 2025

Dear colleagues, Please note that the deadline for application submission to the Nengo Summer School, December 22nd, 2026, is approaching. All details about this school can be found online at https://www.nengo.ai/summer-school The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 11th 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 in-person 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 22nd, 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 31st to June 12th, 2026 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! Maddy she/her Postdoctoral Fellow University of Waterloo email: m2bartle(a)uwaterloo.ca

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Postdoc and Senior Researcher Positions in Computational Neuroscience at IBS, South Korea
by Sungho Hong Nov. 20, 2025

Nov. 20, 2025

The computational neuroscience research group at the Center for Memory and Glioscience, Institute for Basic Science (IBS), Daejeon, South Korea is seeking highly motivated researchers for two open positions, a postdoctoral researcher and senior researcher. Our group studies the biophysical basis of neural information processing through computational modeling, with particular emphasis on developing neuroscience-inspired machine learning/AI (neuroAI) models to analyze and model neuroscience data. We are big fans of physiological mechanisms and investigate how they collectively define the functions of neural systems underlying intelligent behavior. Currently, our research projects focus on the cerebellar neural circuit and its adaptive computation: · Computations for flexible movement control via the population activity of cerebellar neurons · Efficient construction of large-scale, physiologically realistic computational models of neural circuits · Modeling neuro-glia interactions and their impact on behavior We carry out these projects in close collaboration with experimental labs both within our Center and abroad, providing rich opportunities for integrative research. We are also next door to top-notch experimental laboratories in our Center and have various opportunities for scientific exchange also with other members of a vibrant neuroscience community in South Korea. We are stably supported internally by IBS, a South Korean government initiative for excellence in basic science research. For more information, please check out the Center (https://centers.ibs.re.kr/html/ccs/science/science_020101.html#research_05) and PI homepage (https://shhong.github.io) Successful candidates will hold a PhD in neuroscience or related quantitative fields (Physics, Mathematics, Computer Science, etc.), with strong interest in understanding neural systems through computational approaches. We are committed to welcoming applicants of all ethnicities, genders, sexual orientations, religions, etc. For more information and how to apply, please check out our official posting at https://ibs.re.kr/prog/recruit/eng/sub04_01/view.do?idx=2007. Please note that the deadline is soon — December 1, 2025. For further inquires, please send an email to sunghohong(a)ibs.re.kr. Best regards, Sungho — Sungho Hong Center for Memory and Glioscience Institute for Basic Science 55 Expo-ro, Yuseong-gu Daejeon 34126 South Korea

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Open Position - Postdoctoral Research Fellow in Brain Plasticity (Blindness/Deafness) - Washington DC
by Ella Striem-Amit Nov. 20, 2025

Nov. 20, 2025

Dear Colleagues, Could you please post the following ad for a postdoctoral research fellow position in my lab? Thanks! Ella *____* *Postdoctoral Research **Fellow in Brain Plasticity (Blindness/Deafness)* *Sensory & Motor Plasticity (SAMP) Lab — Georgetown University, Washington, DC* The SAMP Lab (PI: Ella Striem-Amit) investigates how experience shapes brain organization by studying people born with blindness, deafness, or without hands, using behavioral paradigms, computational methods, and state-of-the-art fMRI analyses. For more information, see samp-lab.facultysite.georgetown.edu <https://samp-lab.facultysite.georgetown.edu/research>. We seek a Postdoctoral Fellow to lead projects on individual differences in brain plasticity in congenital blindness or deafness. This includes testing how lived experience and compensatory strategies shape neural organization. *Required qualifications* - PhD (by start) in Neuroscience, Psychology, Cognitive Science, CS/EE/BME, or related fields. - Demonstrated fMRI expertise and solid statistics. - Strong programming skills (MATLAB, Python, or R). - *Preferred (but not required)* - Experience with brain plasticity, multisensory processing or development - Experience working with special populations and inclusive research practices. *Appointment & compensation* - Start window: Spring–Summer 2026 (flexible). - Initial term: 2 years, with the possibility of extension based on performance and funding. - Salary per NIH/Georgetown guidelines; full benefits. - The position is not limited to US citizens. *To apply* Apply - Interfolio <https://apply.interfolio.com/177838> Review begins Dec 1, 2025 and continues until the position is filled. *Diversity & inclusion* We welcome applicants from all backgrounds and are committed to an inclusive, accessible research environment. Georgetown University is an equal opportunity employer. -- *Ella Striem-Amit (she/her)* Sensory and Motor Plasticity (SAMP) Lab Edwin H. Richard and Elisabeth Richard Assistant Professor Department of Neuroscience Georgetown University Medical Center 3970 Reservoir Rd., NW Washington, DC 20007 http://samp-lab.facultysite.georgetown.edu/

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Workshop on Canonical Cortical Computations
by Allison Ong Nov. 19, 2025

Nov. 19, 2025

Simons Foundation Now Accepting Applications for Workshop on Canonical Cortical Computations The Center for Computational Neuroscience (CCN) <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> at the Flatiron Institute and the Simons Foundation Neuroscience Collaborations <https://www.simonsfoundation.org/neuroscience/> invite applications to participate in a workshop aimed at developing a potential collaborative project focused on a mechanistic understanding of canonical cortical computations at the circuit level. The workshop will be held April 27–28, 2026, at the Simons Foundation’s offices in New York City. This workshop represents a new model for fostering large-scale scientific collaborations between CCN researchers and external scientists. We particularly encourage applications from experimentalists working in rodent and/or nonhuman primate models. While the envisioned collaborative project will primarily support external experimental work, theoretical and computational neuroscientists are also welcome to apply. For decades, efforts to fully understand canonical cortical computations were slowed by limited descriptions of cell types and connections, technical barriers to measuring and perturbing circuits in vivo and the abstract nature of theoretical models. Thanks to advances in anatomy, biophysics, connectomics, developmental biology and circuit-level tools, as well as powerful new computational and theoretical approaches, researchers are now poised to build and test models that more faithfully capture the function of canonical cortical circuits. We believe this will be possible only through a highly collaborative, vertically integrated partnership between theorists and experimentalists working together to build a framework for thinking about canonical circuit computations in the cortex. Approximately 30 workshop attendees will be selected from these applications. Participation in this workshop is not a guarantee of inclusion in a potential collaborative project or future funding. To apply, please submit your biosketch and a one-page statement describing your scientific expertise, how it connects to the scientific vision outlined above and what unique perspectives or contributions you will bring to the discussions. Apply here <https://form.jotform.com/apschaffer/application-cortical-computations> by January 5, 2026, at 5 p.m. ET. https://form.jotform.com/apschaffer/application-cortical-computations You will be notified by February 27, 2026, if you are selected to attend. For questions or issues with this application, please contact corticalcomputations(a)simonsfoundation.org.

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PhD position in computational neuroscience/brain physics in Oslo
by Gaute Einevoll Nov. 19, 2025

Nov. 19, 2025

A three-year position as PhD Research Fellow in computational neuroscience/brain physics is available at the Department of Physics at the University of Oslo. Starting date as soon as possible, and preferably no later than March 1, 2026. The position is funded by EU Horizon and part of the Marie Sklodwoska-Curie Doctoral Network NeuroNanotech<https://neuronanotech.eu/the-network/>: ‘Integrating Nanotechnology and Neurocomputational Modeling for Advanced Brain Interfaces’. The NeuroNanotech project aims to develop next-generation neurotechnological tools by integrating computational and experimental approaches to understand how nanoscale materials and electromagnetic interactions affect brain function. The PhD project will focus on biophysical modeling of electrical and magnetic brain signals and the mechanisms through which externally applied fields influence neural dynamics. The deadline for application is December 9th. Further info about the position and info on how to apply, see: https://www.jobbnorge.no/en/available-jobs/job/290338/phd-research-fellow-i… For further inquiries, send an email to Gaute.Einevoll(a)nmbu.no. Best regards Gaute ******************************* Professor Gaute T. Einevoll Department of Physics, Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, 0316 Oslo, Norway theoretical neuroscience podcast: theoreticalneuroscience.no<https://theoreticalneuroscience.no> popular science podcast: vettogvitenskap.no<https://vettogvitenskap.no> popular science podcast (English only): vettogvitenskap.no/senseandscience<https://vettogvitenskap.no/senseandscience> Co-author of "Electric Brain Signals": www.cambridge.org/electricbrainsignals<http://www.cambridge.org/electricbrainsignals> Co-author of "Principles of computational modeling in neuroscience" (2nd ed): www.cambridge.org/sterratt2<http://www.cambridge.org/sterratt2/> mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no<mailto:Gaute.Einevoll@nmbu.no>, Gaute.Einevoll(a)gmail.com Twitter: @gauteeinevoll Blue Sky: @gauteeinevoll.bsky.social Zoom: https://nmbu.zoom.us/my/gauteeinevoll “If you sleep in a democracy, you may wake up with a dictator.”

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🧠 [Meetings] Call for Participation – NeuroDesign in HRI Student Design Competition (Online, Nov. 19)
by NeuroDesign in HRI Nov. 18, 2025

Nov. 18, 2025

Dear Colleagues and Friends, You are warmly invited to join us tomorrow, November 19, for the "NeuroDesign in Human-Robot Interaction (HRI) Student Design Competition" – an online event showcasing innovative, brain-centered HRI projects from talented student teams around the world. 🎓🧠🤖 * Event Time (Online via Zoom) * November 19 (Wednesday) * 9:00 AM (PST) * 12:00 PM (EST) * 6:00 PM (Central European Time) * Final Teams: https://www.neurodesign-hri.ws/2025#final_round_2025 * Zoom Link to Join: https://us06web.zoom.us/j/8288339627?pwd=fgwx5yKYj4GmaacZg610ORpXydatob.1&o… During the competition, each finalist team will give a 5-minute pitch followed by a 2-minute Q&A, highlighting how their designs integrate neuroscience, HRI, assistive/wearable robotics, and human-centered innovation. 🌟 Most Popular Project in HRI NeuroDesign Award – Open for Public Voting In addition to the jury awards, we are also hosting a "Most Popular Project in HRI NeuroDesign Award", decided by "public vote". * Voting opens at the "start of the competition" * Voting remains open for 24 hours * You can vote for your favorite project directly via our website (voting link will appear on the same finals page) Please welcome to join the live session and cast your vote to support your favorite projects! Warm regards, The NeuroDesign in HRI Team 🧠 NeuroDesign in Human-Robot Interaction EXPO & Competition

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Graduate student positions in Systems Neuroscience (Masset Lab)
by Paul Masset Nov. 16, 2025

Nov. 16, 2025

Graduate student positions in systems neuroscience at McGill University: The Masset lab, located at McGill University in Montréal, is recruiting 1-2 graduate students in experimental systems neuroscience for a start in Fall 2026. The research group integrates ideas and methods from systems neuroscience, experimental psychology and machine learning to understand how the heterogeneity of neuron types endows brain circuits with efficient distributed computations underlying behavior and cognition. We develop and experimentally validate new models of distributed computation in brain circuits including a new understanding of how dopamine-based distributed reinforcement learning could be implemented in the brain. To answer these questions, we perform large scale electrophysiological recordings in rodents performing complex behavioral tasks, build new data analysis tools and develop new classes of biologically plausible neural networks. Projects would investigate how brain circuits implement distributed computations underlying cognition and behavior within and across brain areas, including dopamine-based RL. Experimental approaches would involve refining and developing complex cognitive tasks in rats, chronic multi-site Neuropixel recordings, and advanced computational methods. The students would work on the experimental side of the lab but would closely collaborate with the computational and theoretical side of the research group to test models of distributed computation and develop and validate new data analysis methods. Students would also join a strong community at the intersection of neuroscience and AI at McGill and Mila. Coding experience (Python/Matlab) is essential and experience in animal research strongly preferred. Students are encouraged to apply via both the Psychology program: https://www.mcgill.ca/psychology/graduate and the Integrated Program in Neuroscience: https://www.mcgill.ca/ipn/prospective IPN application are reviewed on a rolling basis but applying by the Dec 1st deadline to both programs is strongly preferred. -------- Paul Masset Assistant Professor, Department of Psychology, McGill University Associate Academic Member, Mila - Quebec Artificial Intelligence Institute paul.masset(a)mcgill.ca<mailto:paul.masset@mcgill.ca> || https://massetlab.org/

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Visit Open Brain Institute at SfN 2025 for Live Virtual Lab Demos
by Darshan Mandge Nov. 15, 2025

Nov. 15, 2025

Experience our latest Virtual Labs for simulation neuroscience — live at SfN 2025! Our team will be at Booth #3631, and we’d love to meet you there. Stop by to explore our new Virtual Labs, watch live demos, and see how our open, AI-powered platform is helping researchers accelerate neuroscience discovery. ️🗓️ From Sunday 16 to Wednesday 19 Nov – 30 minute sessions 📍 Booth #3631<https://s19.a2zinc.net/clients/sfn/sfn25/Public/EventMap.aspx?EventId=4&Map…> 𝗖𝗵𝗲𝗰𝗸 𝗼𝘂𝘁 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗴𝗲𝗻𝗱𝗮 🌐 https://www.openbraininstitute.org/sfn-2025 Morning (4) & Afternoon (4) Sessions: • Explore & AI: 09:30 – 10:00 / 13:00 – 13:30 Explore Datasets Interactively and Reveal Hidden Patterns Through AI-Driven Insights • Simulate: 10:00 – 10:30 / 13:30 – 14:00 Simulate, Test and Analyze Microcircuits to Study Emergent Network-Level Behaviors • Modeling: 10:30 – 11:00 / 14:00 – 14:30 Model Single Neurons and Synaptomes to Visualize Function and Structure • EM Skeletonization: 11:00 – 11:30 / 14:30 – 15:00 Generate EM Skeletonized Morphologies & Run Notebooks Best regards, The Open Brain Institute Team https://www.openbraininstitute.org/

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Assistant Professor Position at Bocconi University
by Nicolas Brunel Nov. 15, 2025

Nov. 15, 2025

The Department of Computing Sciences at Bocconi University invites applications for a Tenure Track Assistant Professor position. The new department of Computing Sciences, created four years ago and in a phase of rapid expansion, is an interdisciplinary department with leading international researchers in various fields including Theoretical Computer Science, Machine Learning Theory, Statistical Physics Modeling, Natural Language Processing, Computational Neuroscience, Computer Vision, as well as biomedical applications. In terms of teaching, the department has recently opened a bachelor in AI, a master in AI, and is strongly involved in the PhD program in Statistics and Computer Science. It has a strong core in theory and applied CS, and aims at broadening its portfolio, in particular towards applications of machine learning not yet currently represented. We are looking for outstanding candidates, curious and open to collaborations with colleagues from other fields. In principle the position is to be filled by 1st September 2026, but if necessary, the starting date could be delayed to 1st February 2027. Bocconi University is an amazingly vibrant academic community with leading academics in various fields. It is located in central Milan, Italy, offering undergraduate, graduate, PhD, MBA and Executive programs. *Qualifications* Applicants should have a Ph.D. in Computer Science or closely related areas, and should demonstrate the capacity for exceptional research achievement and the ability to teach effectively in undergraduate, masters, MBA and PhD programs. Experienced candidates should have an established track record of successful research and teaching. * Job information* The successful candidates will be expected to develop a strong publication record, broadly contribute to the academic life of the department and be effective teachers both at the undergraduate and graduate level. Compensation and teaching load will be competitive with other top European Schools. The contract will last for 6 years, with the possibility of becoming permanent after a successful tenure process. For additional information concerning the Department of Computing Sciences visit https://cs.unibocconi.eu/. Further details on the position may be requested from faculty(a)unibocconi.it. *How to apply* Applications including a CV, Research Statement and copies of recent publications (up to 5), plus 3 references must be submitted online at https://jobmarket.unibocconi.eu/?id=870. *Closing date* Applications must be received by 16th December 2025 and candidates will be interviewed online. Bocconi University is committed to increasing the diversity of its faculty. Applications are particularly welcome from women and members of groups who are under-represented in academic posts.

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Free Python Course for Neuroscientits
by Fabrizio Damicelli Nov. 14, 2025

Nov. 14, 2025

Dear Community, I'd like to share this short, hands-on Python Course oriented to early stage PhD students in Neurosciences: ✅ Core concepts explained in simple words ✅ Software engineering best-practices (uv, error handling, testing, etc.) ✅ References to deepen your knowledge (talks, books, cheatsheets, etc.) ✅ Exercises for each chapter to ramp up your skills with deliberate practice ✅ Integrative “Labs” with real-world brain datasets (OpenNeuro) Check it out, it's free! https://fabridamicelli.com/python-course/ Best Regards, Fabrizio Damicelli

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CRCNS 2025 PI's meeting streaming
by Garrison Cottrell Nov. 13, 2025

Nov. 13, 2025

The 2025 CRCNS meeting will be streamed starting this morning at 9:00AM Pacific time.The schedule is here. <https://inc.ucsd.edu/events/crcns/2025/program.php> The zoom link is here <https://ucsd.zoom.us/j/94307323129>. Most of it will be recorded, so no FOMO. cheers, Gary Cottrell --- Gary Cottrell 858-534-6640 FAX: 858-534-7029 Computer Science and Engineering 0404 IF USING FEDEX INCLUDE THE FOLLOWING LINE: CSE Building, Room 4130 University of California San Diego - 9500 Gilman Drive # 0404 La Jolla, Ca. 92093-0404 Email: gary(a)ucsd.edu Home page: http://www-cse.ucsd.edu/~gary/ Schedule: http://tinyurl.com/b7gxpwo "It is not clear there has ever been, in the history of science, an implemented computational system that achieves such accuracy, but which is dismissed by a field which has failed to develop even remotely comparable alternatives." -Steven T. Piantadosi, on Chomsky and LLMs. Power to the people! —Patti Smith Except when they’re delusional —Gary Cottrell This song makes me nostalgic for a memory I don't have -- Tess Cottrell *All Watched Over by Machines of Loving Grace* I like to think (and the sooner the better!) of a cybernetic meadow where mammals and computers live together in mutually programming harmony like pure water touching clear sky. -Richard Brautigan

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[ICANN 2026] 1st CALL FOR PAPERS, SPECIAL SESSIONS, WORKHOPS AND TUTORIALS
by davide.rigoni.1＠unipd.it Nov. 12, 2025

Nov. 12, 2025

====================================================================== ICANN 2026 - CALL FOR PAPERS, SPECIAL SESSIONS, WORKHOPS AND TUTORIALS ====================================================================== On behalf of the ICANN 2026 Organizing Committee, it is our great pleasure to invite you to the 35th International Conference on Artificial Neural Networks ICANN 2026, one of the premier conferences in the field of artificial intelligence, neural networks, neuroscience and brain-inspired computing in Europe, organized in collaboration with the European Neural Network Society (ENNS). ICANN 2026 will be held in Padua, Italy, one of the most charming and dynamic towns in Italy. It is located in the Veneto region, in Northern Italy. The historical center boasts a wealth of medieval, renaissance and modern architecture. Here a fascinating mix of historic and new, of centuries-old traditions and metropolitan rhythms creates a unique atmosphere. The medieval palaces, churches and cobbled streets emanate a sense of history. Padua features rich historical and cultural attractions, such as “Prato della Valle”, the largest square in Europe; the famous Scrovegni Chapel painted by Giotto; the Botanical Garden that is a UNESCO World Heritage; the University of Padua, that is the second oldest university in Italy (1222) with more than 800 years of history. Conference Dates: September 14 to September 17, 2026 Conference Venue: Conference center of the School of Psychology, University of Padua, Italy Conference Webpage: https://e-nns.org/icann2026/ General Chairs: Alessio Micheli (University of Pisa, Italy) Nicolò Navarin (University of Padua, Italy) Alessandro Villa (University of Lausanne, Switzerland) ICANN 2026 aims to be a transformative event with the dual track of Artificial Intelligence & Deep Learning and Neuroscience, encouraging cross-disciplinary collaboration among researchers, practitioners, and industry experts. The event will feature cutting-edge research presentations and keynote talks by leading experts, continuing its tradition as a global dynamic and interactive forum bridging academia and industry. ====================================================================== Prospective authors are invited to submit original contributions of up to 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. The technical program, including special sessions, workshops and keynote talks covers almost all facets of Artificial Intelligence, Deep Learning and Neuroscience. Topics of interest include, but are not limited to: - AI and Machine Learning: - Theory and Foundations of Neural Networks - Novel Neural Network Architectures - Topics in Neural Networks - Large Language Models - Explainable AI - Machine Learning for Graphs - Graph Neural Networks - Clustering and Reinforcement Learning - New Topics in Artificial Intelligence and Machine Learning - Neurorobotics - Neuroscience: - Theoretical/Computational Neuroscience - Cognitive Neuroscience - Brain-Inspired Computing - Spike Trains Neural Decoding - Functional Neuroimaging - Neuromorphic Systems - Digital Twins and Virtual Brain Models - Applications - AI in Drug Discovery - Human-Computer Interaction - Biosignal Processing - Medicine and Physiology - Speech and Language Processing - Computer Vision - Robotics - Climate and Environment - General Applications of Machine Learning CONFERENCE COMMITTEE General Chairs: - Alessio Micheli (University of Pisa, Italy) - Nicolò Navarin (University of Padua, Italy) - Alessandro Villa (University of Lausanne, Switzerland) Program Chairs: - Luca Pasa (University of Padua, Italy) - Alessandra Lintas (University of Lausanne, Switzerland) - Igor Tetko (Helmholtz Munich, Germany) Submission Chair - Linas Petkevičius (Vilnius University, Lithuania) Publication Chair - Domenico Tortorella (University of Pisa, Italy) Workshop and Special Session Chairs - Luca Oneto (University of Genoa, Italy) - Valerie Vaquet (Bielefeld University, Germany) Social Media Chairs - Giovanna Maria Dimitri (University of Milan, Italy) - Alessandro Dipalma (University of Pisa, Italy) Diversity and Inclusion Chair - Roseli S. Wedemann (Universidade do Estado do Rio de Janeiro (UERJ), Brazil) Communication Chairs - Davide Rigoni (University of Padua, Italy) - Matteo Zavatteri (University of Padua, Italy) Local Arrangements Chairs - Merylin Monaro (University of Padua, Italy) - Andrea Zangrossi (University of Padua, Italy) Volunteers Coordinator - Giovanni Donghi (University of Padua, Italy) IMPORTANT DATES - Deadline for full paper and abstract submission: 16 March 2026 - Final notification of Acceptance or Rejection: 29 may, 2026 - Camera-ready paper upload and author registration: 29 June 2026 For questions, please contact: icann2026(a)e-nns.org

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Neurotech School 2026: Registrations are now open
by Blaise Yvert Nov. 12, 2025

Nov. 12, 2025

Dear Colleagues, We are pleased to announce that the third edition of the Neurotech School will take place in Aussois from March 15 to March 20, 2026. The program and registration page can be found at the following link : https://neurotech2026.sciencesconf.org/ As in previous years, the number of available seats will be limited. For any question, feel free to contact Salma Mezzi in cc of this message. We look forward to your participation and to welcoming you in Aussois. Kind regards, Blaise for the local organizing committee.

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Fully-funded PhD in computational neuroscience, Sheffield, UK
by Hazem Toutounji Nov. 12, 2025

Nov. 12, 2025

Dear all, A fully-funded PhD position in computational neuroscience is available with Dr Hazem Toutounji (University of Sheffield, UK). *Project title: *Flexible or Flawed? A Computational Neuroscience Approach to Learning Strategies and Psychiatric Traits In our complex and ever-changing world, humans are constantly faced with a flood of sensory information. To make effective and timely decisions, the brain cannot possibly process every single detail. Instead, it is thought to rely on intelligent "cognitive shortcuts" or simple strategies (heuristics) to simplify complex problems. This allows for rapid and flexible learning, but the mechanisms behind this process are not well understood. When are these shortcuts deployed? How does the brain select the right strategy for the task at hand? How does it know when a shortcut is no longer working and a new strategy is needed? And how are the selection and efficiency of those shortcuts influenced by common psychiatric traits such as anxiety and impulsivity? This 3.5-year fully-funded PhD studentship provides an exciting opportunity to work at the intersection of computational modelling, cognitive neuroscience, and computational psychiatry. The successful candidate will receive comprehensive training in all required methods. Position available for UK students only Application deadline: February 4th 2026 PhD start date: October 1st 2026 Further information on the project, requirements, and how to apply can be found here: http://www.findaphd.com/?pj=190228 *Please note: *Interested candidates are strongly encouraged to contact me ( h.toutounji(a)sheffield.ac.uk) to discuss your interest in and suitability for the project prior to submitting your application. Best wishes, Hazem -- *Dr. rer. nat. Hazem Toutounji (they / them) *[pronounced ḤAH-zem TUTUN-ji <https://namedrop.io/hazemtoutounji>] *PI of the Neural Dynamics and Computation Lab* Lecturer in Computational Neuroscience MSc Exams Officer, ECR Champion, Sustainability Lead School of Psychology The Neuroscience Institute Insigneo Institute for in silico Medicine University of Sheffield ICOSS Building, 4th floor, desk 5 219 Portobello, Broomhall Sheffield S1 4DP, UK *Please don't feel obliged to respond to my emails outside your own working hours* If you are a student looking for support, please see this page <https://www.sheffield.ac.uk/study/support>. *Office hours during semester weeks:* Monday 14:00-15:00 -- Please book an appointment with a brief description of the topic using this link <https://calendar.app.google/1ayXM9DqBhAkLBCp6>. Face to face meetings are at *ICOSS E04a*. To meet outside of office hours, please email me 24 working hours in advance.

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Postdoctoral position in circuit/systems neuroscience at McGill University (Krishnaswamy/Cook/Masset)
by Paul Masset Nov. 12, 2025

Nov. 12, 2025

Postdoctoral position in circuit/system neuroscience at McGill University. The Krishnaswamy and Cook laboratories are looking for a postdoctoral fellow to work on a project involving the neural circuits and computations underlying neuromodulation and behaviors such as attention and decision-making in mice. Position will involve cutting edge methods such as in vivo acousto-optic two-photon microscopy from cortical areas, fiber photometry from neuromodulator centers, widefield imaging using voltage/calcium-indicators, and genetic and optogenetic tools. Position will also involve using and developing advanced computational data analysis tools and building AI-inspired models of behavioral and neural activity. The project will involve close collaboration Dr. Paul Masset's lab to examine models of reinforcement learning in the context of neuromodulators. Prior experience in these methods is a plus but not a requirement. Background knowledge and/or graduate training in the neurosciences and computational methods is an advantage. We are located at the Life Sciences Complex (LSC) at McGill University, in the Bellini Building, which is a state-of-the-art research facility. Successful candidates will join a large community of neuroscientists which include researchers at the LSC, the Neuro (formerly the MNI), the Center For Research in Neuroscience, and Mila-Quebec AI institute. To apply, please send a CV and list of references to: arjun.krishnaswamy(a)mcgill.ca and erik.cook(a)mcgill.ca

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Permanent position in computational neuromodulation
by Axel Hutt Nov. 11, 2025

Nov. 11, 2025

------------------------------------------------------------------------------------ Permanent position in computational neuromodulation of brain networks and application to mental disorders ------------------------------------------------------------------------------------ The new research team NECTARINE at Inria in Strasbourg / France aims to create a synergy between clinicians and computational researchers to develop new healthcare technologies. The team works on stochastic microscopic network models to describe macroscopic experimental data and computational techniques of neural feedback control based on subject behavior and/or encephalographic data. We collaborate closely with clinicians and choose our research focus along the clinical applications. Major scientific objectives are stochastic multi-scale simulations of neurostimulation and corresponding mean-field descriptions of neural activity on the macroscopic scale. Moreover, we develop novel closed-loop techniques with real-time control merging experimental data and numerical models by machine learning techniques. The team's clinical research focuses on neuromodulation of patients suffering from deficits in attention and temporal prediction. The team offers the possibility to apply for a permanent position as Chargé de Recherche (CR) or Directeur de Recherche (DR) in the research field of computational neuroscience with a strong focus on stochastic dynamics linking brain network modelling with experimental data. The new colleague should have a strong expertise in mathematical/computational modelling with a focus on nonlinear dynamics and/or network dynamics, as well as strong interest in clinical applications. Strong programming skills are mandatory. Inria is a French National Institute for Research in Digital Science and Technology ( [ https://www.inria.fr/en | https://www.inria.fr/en ] ) with 9 research centres in France. The team is located in the centre of Strasbourg on the hospital campus as part of the Research Centre at University of Lorraine in Nancy. Applications are welcome from now on until end of January 2026 , but it is strongly recommended to contact us well in advance. For more details or sending your application documents (motivation letter, CV including publication list), please contact Dr. Axel Hutt (email: axel.hutt(a)inria.fr ) . -- Axel Hutt Directeur de Recherche Equipe NECTARINE INRIA Center at University of Lorraine Bâtiment Explora 2, rue Marie Hemm 67000 Strasbourg, France

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Postdoc and PhD positions in Paris
by German Sumbre Nov. 10, 2025

Nov. 10, 2025

Dear colleagues, We have several open positions for postdocs, PhDs and master students, at the neural dynamics & behaviour lab at theInstitute of biology of theEcole normale supérieure, Paris, France. The selected candidates will study neural circuit dynamics in zebrafish or cavefish using two-photon, light-sheet calcium imaging and/or optogenetics, to learn about neuro-glia interactions, behavioural states, development of neuronal assemblies, gut-brain interactions, brain-machine interfaces and the evolution of brain computations. You can find more information about the lab and relevant publications athttps://www.zebrain.biologie.ens.fr/ Applicants should have a strong background in systems or computational neuroscience and some experimental experience. Good programing skills are required. Knowledge on optics is a plus. The lab is an interdisciplinary and collaborative environment with postdocs and students coming from different disciplines and cultures. Some of these projects involve collaborations with the labs of Marcelo Rozenberg (Paris Cite), Julijana Gjorgjieva (MTU) and Pedro Hernandez (Curie). To apply please send a detailed CV, 2 academic referees and a research statement about a project you would like to carry out in the lab. Please send a single PDF file tosumbre(a)ens.fr. Review of applications will continue until the positions are filled.Best, *Germán Sumbre* Ecole Normale Supérieure Institut de Biologie de l'ENS Section de Neurosciences 46, rue d'Ulm 75005 Paris France Tel: +33 (0)1 44 32 23 67 http://www.zebrain.biologie.ens.fr

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[Workshop][Dec 8 · San Diego] NSF BRAID Workshop: Bridging Neuroscience and Engineering for Energy-Efficient AI (+Posters).
by sbezugam＠umail.ucsb.edu Nov. 10, 2025

Nov. 10, 2025

Dear colleagues, We will host the *NSF BRAID Workshop: Bridging Neuroscience and Engineering for Energy-Efficient AI*—a one-day program on neuromorphic computing and energy-efficient AI—on *Monday, December 8, 2025, at the Omni San Diego, immediately following NeurIPS'25*, at the same location. The workshop will feature invited speakers from neuroscience, neuromorphic engineering, and computer systems, including James Aimone, Maksim Bazhenov, Kwabena Boahen, Dhireesha Kudithipudi, Robert Legenstein, Stefan Mihalas, Bruno Olshausen, Priyadarshini Panda, and Vijay Janapa Reddi (tentative). The program will comprise two themed sessions and a poster session, all centered on neuromorphic computing. The neuroscience session will explore how insights from the brain can be leveraged to improve, augment, or rethink state-of-the-art large language models and AI. The hardware session will address whether conventional, emerging, or hybrid device technologies are best suited for the next generation of AI systems. Each session will include short invited talks followed by a panel discussion. *Poster participation* Short abstracts (≤200 words) are invited and should include: title, authors, and affiliations. Please email submissions to strukov(a)ece.ucsb.edu with the subject line “BRAID 2025 Poster.” Review is rolling, and space is limited. (more details here https://sites.google.com/view/nsf-braid-workshop-2025/call-for-posters) *Program & details:* https://sites.google.com/view/nsf-braid-workshop-2025/ RSVP here: NSF Workshop on BRAID · https://luma.com/7c3w0o01 Best regards, Sai Sukruth Bezugam PhD Student Strukov Research Group UC Santa Barbara

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World wide VVTNS series (6th season): Wednesday, 12, 2025, at 11:00 am ET - Katharina Anna Wilmes, Institute of Neuroinformatics Zurich
by David Hansel Nov. 10, 2025

Nov. 10, 2025

[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 Katharina Anna Wilmes Institute of Neuroinformatics Zurich on the topic of Uncertainty-aware predictive processing The lecture will be held on zoom on November 12, 2025, at *11:00 am ET * To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Minimising cortical prediction errors is thought to be a key computation underlying perception, action, and learning. Yet, how the cortex represents and uses uncertainty in this process remains unclear. In the first part of this talk, I will present a normative framework showing how uncertainty can modulate prediction error activity to yield uncertainty-modulated prediction errors (UPEs), hypothesised to be represented by layer 2/3 pyramidal neurons. We propose that these UPEs are computed through inhibitory mechanisms involving SST and PV interneurons. A circuit model demonstrates how cortical cell types can locally compute means, variances, and UPEs, leading to adaptive learning rates. In the second part, I will discuss how uncertainty modulation could be controlled by higher-level representations. We formally derived neural dynamics that minimise prediction errors under the assumption that cortical areas must not only predict the activity in other areas and sensory streams but also jointly project their inverse expected uncertainty about their predictions, which we call “confidence”. This yields a confidence-weighted integration of bottom-up and top-down signals, consistent with Bayesian principles, and predicts the existence of second-order errors that compare confidence with performance. We predict that these second-order errors propagate alongside classical prediction errors through the cortical hierarchy, and simulations demonstrate that this mechanism enables nonlinear classification within a single cortical area. *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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Software Engineer - Behavioral Analysis Platform Development - Max Planck Institute of Animal Behavior
by Ahmed El Hady Nov. 7, 2025

Nov. 7, 2025

As part of a startup spinoff project funded by Max Planck Innovation's MAX!mize program. We're developing next-generation software for automated analysis of animal social behavior . Our platform makes behavioral analysis tools accessible for research and industry applications. We have the following opening: * Software Engineer (m/f/d) (80 - 100 %) - Behavioral Analysis Platform Development* The Max Planck Institute of Animal Behavior at its sites in Konstanz and Radolfzell offers an international, interdisciplinary, and cooperative environment that opens up unique research opportunities. The goal of our basic research is to develop a quantitative and predictive understanding of the decisions and movements of animals in their natural environment. The Max Planck Department of Collective Behavior would like to fill the following position starting in January/February 2026, initially for 1 year with the possibility of extension. The workplace will be in Konstanz, Germany. /Our Offer/ We offer an interesting job in an open-minded team, flat hierarchies and an open-door culture where we encourage building on strengths, a wide range of further training and education opportunities, 30 days of vacation for a five-day week, flexible working hours, a responsible and varied workplace in a growing interdisciplinary and international research institute. The payment is made in accordance with your experience and qualification and the collective agreement for the public service (TVöD-Bund). /Your tasks/ * Design and develop interface for video analysis and data visualization * Build APIs connecting Python backend with frontend applications * Integrate existing behavioral analysis research tools * Create annotation tools and real-time visualization dashboards * Transform Python-based behavioral analysis algorithms into accessible web applications * Ensure complex scientific tools are intuitive for non-programmer users /Your Profile/ * Bachelor's/Master's in Computer Science, Engineering or equivalent experience * Strong web development and applications skills (HTML/CSS/JavaScript + any modern framework * Proficient in Python programming * Experience making complex tools user-friendly * Self-directed problem solver with ability to work independently * Very good written and spoken English skills * Team-oriented with strong communication and collaboration abilities Other valuable experience: Scientific/data-heavy applications, real-time visualization, video processing/computer vision, Docker/containerization, research/startup experience The Max Planck Society endeavors to employ more severely disabled people. Applications of severely disabled persons are expressly welcome. The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds. /Are you interested? /Then we are looking forward to receiving your application until November 30, 2025, with your CV, a brief cover letter including link to GitHub or project portfolio under the following link <https://bewerbermanagement.net/en/jobposting/82ea614de840b641fc5b2e466fad8a…>: https://bewerbermanagement.net/en/jobposting/82ea614de840b641fc5b2e466fad8a… Questions about this position will be answered by Jacob Davidson (jdavidson(a)ab.mpg.de) or Ahmed El Hady (ahady(a)ab.mpg.de) Please make sure to spread it to anyone you think might be interested to apply or is well suited for the position. All the best regards, Ahmed El Hady Dr. Ahmed El Hady Research group leader Cluster for Advanced Study of Collective Behavior University of Konstanz/Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907

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Deadline approaching: Why are there neuroscientists? Workshop of Ideas in Neuroscience, Dec 5th
by Mateusz Kostecki Nov. 7, 2025

Nov. 7, 2025

Hello, We would like to remind you that there is just one week left for registration for our workshop, *Why are there neuroscientists?*, that will be held in Heidelberg on Dec 5t! We are going to discuss an intricate web of reasons that make us study the visual cortices of mice, the spatial cognition of bats, or the molecular basis of Alzheimer’s disease in humans, from long-time fascinations, through previous, often random choices, inspirations by other people, or economic/social circumstances. The aim of this short workshop will be to discuss in depth our reasons for doing neuroscience. In a series of short talks, discussions, and group tasks – in the spirit of our Schools and Workshops of Ideas – we will try to ask (and maybe answer) questions: - What motivates our research? - How do our stated purposes for our research – the ones that we speak about in public, in grant writing or science communication – relate to our real motivations? - How do our reasons to do brain research influence our methodological choices? - How do the reasons we have differ depending on our background? Why does it matter? Please find more info and the application form here - https://nenckiopenlab.org/why/ <https://nenckiopenlab.org/why/> With best wishes, Mateusz Kostecki -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

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4th Ultrasonic Vocalizations Conference (Online, Nov 20-21, 2025)
by Alicja Terelak Nov. 6, 2025

Nov. 6, 2025

Dear colleagues, We are pleased to invite you to the *4th Ultrasonic Vocalizations Conference*, taking place *online on November 20-21, 2025*. This event brings together researchers and practitioners exploring *ultrasonic vocalizations (USVs)* and their role in: • neuroscience and behavioral science, • acoustic communication across species, • technology and sound analysis, • creative approaches to studying communication. The program will feature: - *talks by international experts*, - *panel discussions and interactive Q&A sessions*, - *over twenty confirmed speakers and panelists* from neuroscience, biology, psychology, technology, and the arts. *Registration is now open and participation is free of charge.* More information and the registration link are available at: https://ultrasonicvocalizations.net/ https://www.facebook.com/UltrasonicVocalizationsNetwork/ We warmly invite you to join us for two days of interdisciplinary discussion and exchange. Best regards, *The 4th Ultrasonic Vocalizations Conference Organizing Committee* -- *Alicja K. Terelak, MSc* Laboratory of Spatial Memory, Nencki Institute of Experimental Biology, Polish Academy of Sciences Warsaw, 3 Pasteur Street, 02-093

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[seminar.wwtns] New recordings are available on the VVTNS website
by David Hansel Nov. 5, 2025

Nov. 5, 2025

[image: VVTNS.png] > > <https://streaklinks.com/BT7ApM4NDVkoziHWhQptf9sP/https%3A%2F%2Fwww.wwtns.on…> > https://www.wwtns.online > <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> > - on twitter: wwtns@TheoreticalWide - on Youtube > New recordings available on the VVTNS website https://www.wwtns.online/past-seminars-2024-2025 ---------------------------- The First Memorial Carl van Vreeswijk Lecture Do contemporary, machine-executable models of primate sensory systems unlock the ability to non-invasively, beneficially modulate high level brain states? delivered on April 9, 2025 by James DiCarlo MIT ---------------------------- Learning generative dynamical systems models from multi-modal and multi-animal neuro-data delivered on April 23, 2025 by Daniel Durstewitz Central Institute of Mental Health, Mannheim ------------------------------------------------- Energy efficient learning in neural networks delivered on May 7, 2025 by Mark van Rossum University of Nottingham ------------------------------------------------- Neural mechanisms of memory linking and replay: inhibition matters delivered on May 14, 2025, by Tomoki Fukai Okinawa Institute of Science and Technology ------------------------------------------------- From neurons to Newtons: Brain evolution as a machine learning problem delivered on May 21, 2025 by Alexei Koulakov Cold Spring Harbor Laboratory *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.* April, 13, 2022 ᐧ ᐧ ᐧ ᐧ ᐧ ᐧ ᐧ

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Neural Data Analysis Workshop at Flatiron Institute (Feb 2-5, 2026) - Apply Now
by Edoardo Balzani Nov. 5, 2025

Nov. 5, 2025

Dear colleagues, Excited to share a great opportunity for systems neuroscientists! This February, the Flatiron Institute Center for Computational Neuroscience of the Simons Foundation is hosting a hands-on workshop on neural data analysis in New York City. *Workshop Details:* *What: *3-day workshop on pynapple & NeMoS *When: *February 2–5, 2026 *Where: *Flatiron Institute, NYC *Who:* Grad students & postdocs analyzing electrophysiology or calcium imaging data Via live-coding and hands-on group projects, you will learn to: - Use pynapple for neural data manipulation and exploration - Build statistical models with NeMoS (powered by JAX with GPU acceleration) *Cost:* Accommodation & meals provided, no participation fees. Both packages are open-source Python tools developed at Flatiron CCN to streamline neural data analysis and modeling. *Apply here:* https://simonsfoundation.formstack.com/forms/ neural_data_analysis_workshop_at_flatiron_institute *Learn more:* https://www.simonsfoundation.org/event/flatiron-ccn-neural-data-analysis-wo… Please feel free to share with anyone who might be interested! Best regards, Edoardo Balzani -- *Edoardo Balzani* Associate Research Scientist Center for Computational Neuroscience Flatiron Institute

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Open PhD position - Brain-inspired Machine Learning and Spiking Neural Networks
by Robert Legenstein Nov. 5, 2025

Nov. 5, 2025

The Lab of Robert Legenstein at Graz University of Technology (Austria) https://www.tugraz.at/institute/iml/people/prof-legenstein/ is offering a funded PhD position (Univ. Assistant) in the areas Brain-inspired Machine Learning/Spiking Neural Networks. In paticular, we will investigate brain-inspired models that bridge between sub-symbolic and symbolic artificial intelligence approaches in the context of the Cluster of Excellence Bilateral AI: https://www.bilateral-ai.net A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. For details and application portal, see https://jobs.tugraz.at/en/jobs/2a6e0939-accb-36e0-f2b6-68da792d9797?preview… -- Dr. Robert Legenstein Univ.-Professor Institute of Machine Learning and Neural Computation Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.iml.tugraz.at/legi/ WebEx: https://tugraz.webex.com/meet/robert.legenstein ++43/316/873-5824 ----------------------------------

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Virtual workshop (Nov 13, 9am - 12pm US Pacific Time) - Neuroscience Gateway enabling large scale modeling, AI/ML, data processing, and software dissemination on supercomputers
by Majumdar, Amitava Nov. 5, 2025

Nov. 5, 2025

Dear Colleagues, We are organizing a virtual workshop titled "Neuroscience Gateway enabling large scale modeling, AI/ML, data processing, and software dissemination on supercomputers". Please see the list of speakers, title of talks, abstracts, date and time below. If you are interested in attending please register via the registration link. Thank you. Amit Majumdar and Subhashini Sivagnanam San Diego Supercomputer Center University of California San Diego ----------------------------------------------------------------------------------------------------------------- Date: 13 November (Thursday) 2025 Time: 9:00 – 12:00 USA Pacific Time Workshop Abstract: The Neuroscience Gateway (NSG) serves the neuroscience community by providing researchers and students easy, open and free access to a large number of neuroscience software and tools on supercomputing resources, academic cloud computing resources, and associated storage resources, which are located at various national academic supercomputer centers in the US and funded by the National Science Foundation. NSG is also a dissemination platform and enables dissemination of neuroscience modeling and data processing software to the community. This virtual workshop is intended for computational, cognitive and experimental neuroscientists – researchers and students - who use large scale modeling, AI/ML and data processing for their research. Computational neuroscientists who are building and using computational models of neurons and network of neurons, and cognitive neuroscientists who are processing EEG, fMRI and other types of data, as well as neuroscientist who are using AI/ML for their research, will find this workshop of interest. NSG is funded by the National Science Foundation and the National Institutes of Health. Registration deadline: November 11, 2025 Register for this session at: https://na.eventscloud.com/ereg/newreg.php?eventid=862126<https://na.eventscloud.com/ereg/newreg.php?eventid=862126&>&<https://na.eventscloud.com/ereg/newreg.php?eventid=862126&> Agenda (times in USA Pacific Time): 9:00 – 9:30: Human Neocortical Neurosolver (HNN): An open-source software for cellular and circuit-level interpretation of human MEG/EEG, Dylan Daniels, Brown University Abstract: HNN is a user-friendly neural modeling software designed to provide a cell and microcircuit-level interpretation of macroscale magneto- and electroencephalography (M/EEG) signals (hnn.brown.edu, Neymotin et al 2020). The foundation of HNN is a biophysically-detailed neocortical model, representing a patch of neocortex receiving thalamic and corticocortical drive. The HNN model was designed to simulate the time course of primary current dipoles and enables direct comparison, in nAm units, to source-localized M/EEG data, along with layer-specific cellular activity. HNN workflows are constructed around simulating commonly measured ERPs and low-frequency oscillations. In this workshop, we will review the scientific foundations underlying the HNN model. Thereafter, will we walk through how to get started with HNN using NSG, and we will briefly demo various features of the HNN GUI. 9:35 – 10:05: AI-driven Brain Digital Twins: Large-scale biophysical models of neuronal circuits to study brain function and disease, Salvador Dura Bernal, SUNY Downstate Health Sciences University Abstract: Understanding brain function and disease requires studying interactions across multiple scales, from molecular and cellular mechanisms to circuit-wide dynamics and behavior. Biophysically detailed brain circuit models provide a powerful tool to integrate diverse experimental data across these scales, allowing researchers to simulate and analyze brain activity in a mechanistic and predictive manner. Leveraging AI and high-performance computing, we have developed large-scale, biologically realistic models of various thalamocortical circuits, including motor, somatosensory, and auditory regions, each comprising ~15,000 neurons and ~30 million synapses. These models incorporate experimentally derived neuronal morphologies, electrophysiological properties, and connectivity, enabling them to reproduce cell-type and layer-specific electrical activity patterns observed in vivo across scales, from membrane voltages and action potentials to local field potentials and electroencephalogram signals. Our models have been instrumental in elucidating the cellular and circuit mechanisms underlying neurological disease and psychiatric disorders such as schizophrenia, epilepsy, dystonia, Alzheimer's and Parkinson’s disease. They also offer insights into therapeutic targets to restore healthy neural dynamics through novel pharmacological and neurostimulation treatments, such as transcranial magnetic stimulation (TMS). These mechanistic models provide the foundation for constructing AI-driven Brain Digital Twins—virtual replicas of an individual’s brain state that integrate multimodal patient data to simulate brain function, predict disease progression, and optimize personalized treatment strategies. By bridging mechanistic modeling of brain circuits and AI, Brain Digital Twins have the potential to transform diagnosis, prevention and treatment of neurological and psychiatric conditions, addressing key challenges in brain research and clinical care. 10:10 – 10:40: NeuroelectroMagnetic Data Archive and high-performance computing for human EEG/MEG/iEEG data: the NEMAR-NSG platform, Arnaud Delorme; Seyed Yahya Shirazi; Dung Truong; Choonhan Youn; Subhashini Sivagnanam (UC San Diego); Russell A. Poldrack (Stanford University); Amitava Majumdar; Scott Makeig (UC San Diego) Abstract: The NeuroElectroMagnetic Data Archive and Tools Resource integrates open data, standardized annotation, and high-performance computing to accelerate reproducible analysis of human EEG, MEG, and iEEG. Built as a gateway to OpenNeuro, NEMAR indexes BIDS-formatted datasets with HED event annotations, provides search, quality assessment, and interactive visualizations, and brokers compute to SDSC resources through the Neuroscience Gateway for scalable, containerized workflows including EEGLAB-based pipelines. By coupling archive storage to NSG-mediated execution on systems such as Expanse, NEMAR minimizes data movement and enables end-to-end, provenance-preserving analyses at scale, supporting FAIR principles and cross-study meta-analysis. Together, NEMAR and NSG lower barriers for large-cohort neurophysiology, promote standardized event semantics, and provide a transparent path from dataset discovery to replicable results. 10:45 – 11:15: Neuron and NSG – parallel software meets parallel hardware, Ted Carnevale, Yale University Abstract: This presentation surveys how the Neuroscience Gateway has enabled productive use of the NEURON simulator to address problems in the domain of computational neuroscience that require high-performance and high-throughput computing. 11:20 – 11:50: HiAER-Spike: Running large spiking neural networks on an FPGA neuromorphic computing platform through NSG, Kenneth Yoshimoto, Diana Vins UC San Diego Abstract: HiAER-Spike is a hardware (FPGA)/software (Python) platform for reconfigurable neuromorphic computing. It has the potential to execute spiking neural networks up to 160 million neurons and 40 billion synapses. A Python interface allows users to specify neurons, connectivity, and input and direct timesteps. This tool is available through NSG. This talk will present integration of NSG with the hardware and show data demonstrating running a network on the FPGA. -----------------------------------------------------------------------------------------------

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Tadahiro Taniguchi speaking on Thursday, November 13 in Developing Minds global online lecture series
by Jochen Triesch Nov. 4, 2025

Nov. 4, 2025

Dear colleagues, On November 13, the Developing Minds global online lecture series is proud to host Tadahiro Taniguchi from Kyoto University, Japan, speaking on: "Developing Collective Minds: Symbol Emergence and Co-creative Learning via Collective Predictive Coding“. Thursday, November 13, 2025 3 am EST (Eastern Standard Time, US) 8 am UTC (Universal Coordinated Time) 9 am CET (Central European Time) 5 pm JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/62848974907?pwd=wKdKlyBSVirfJqzrFfULhhOiu… Meeting-ID: 628 4897 4907 Kenncode: 735273 Abstract: This talk introduces the Collective Predictive Coding (CPC) hypothesis, a computational theory for how collective minds develop. CPC extends the Free Energy Principle (FEP) to the societal level, positing that interacting agents (both human and artificial) collaboratively minimize their collective prediction error through interaction. We argue that this process, functioning as a form of decentralized Bayesian inference embodied in interaction games, is the engine for symbol emergence. It provides a mechanism for agents to integrate their partial and heterogeneous perceptual information, leading to a shared, co-created understanding that exceeds the capabilities of any single agent. The CPC framework provides a scientific foundation for "co-creative learning," a new paradigm for human-AI interaction where systems learn with humans, rather than merely from them. This contrasts with traditional AI alignment, which often assumes a unilateral transfer of knowledge. CPC enables a bilateral, organic alignment that emerges from continuous, mutual interaction. This bottom-up, co-creative process offers a compelling alternative to top-down alignment methods, paving the way for a future of human-AI symbiosis. It allows humans and AI to co-evolve, generate new knowledge together, and realize the development of true collective minds. Short Bio: Tadahiro Taniguchi is a Professor at the Graduate School of Informatics, Kyoto University. He received his M.E. in 2003 and Ph.D. in Engineering in 2006, both from Kyoto University. He began his academic career at Ritsumeikan University, serving as an Assistant Professor, Associate Professor, and Professor in the College of Information Science and Engineering before assuming his current position at Kyoto University in 2024. During his tenure at Ritsumeikan, he was also a Visiting Associate Professor at Imperial College London from September 2015 to September 2016. Concurrently, he serves as a Senior Technical Advisor at Panasonic Holdings Corporation, an Affiliate Professor at Ritsumeikan University, a Director of the Tomorrow Never Knows association, Representative Director of the Bibliobattle Association, Director of the AI Robot Association (AIRoA), a Technical Advisor for ABEJA, Inc., and the Chair of the IEEE Cognitive and Developmental Systems Technical Committee. His research interests include artificial intelligence, emergent systems, and cognitive and developmental robotics. He is a pioneer in the field of "Symbol Emergence in Robotics," a constructive approach to understanding the mechanisms of language acquisition and semantic understanding from the perspective of the symbol grounding problem. Dr. Taniguchi has received numerous awards, including the Academic Encouragement Award from the Society of Instrument and Control Engineers (SICE), the Paper Award from the Institute of Systems, Control and Information Engineers (ISCIE), and the Advanced Robotics Best Survey Paper Award. 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 http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex
by Simon Bowes Nov. 4, 2025

Nov. 4, 2025

CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex (DEADLINE: November 30, 2025) Contact: Simon Bowes (S.C.Bowes(a)sussex.ac.uk<mailto:S.C.Bowes@sussex.ac.uk>) AISB 2026 will be held at the University of Sussex on the 1st-2nd July. For more information on the convention please see the website at https://aisb.org.uk/. Keynote Speaker: Anil Seth The AISB 2026 convention will follow the same overall structure as previous conventions, namely a set of co-located symposia, and we are seeking proposals for these symposia. Typical symposia last for one or two days, and can include any type of event of academic benefit: talks, posters, panels, discussions, demonstrations, outreach sessions, etc. Proposals for Symposia are welcomed in all areas of AI and cognitive science. Some suggested areas are shown below, although any proposal in the field of AI or cognitive science will be welcomed: * AI in Education * Agency & AI * Art & AI * Artificial Life * Cognitive & Computational Neuroscience * Computational theory of mind * Computational Intelligence * Consciousness * Embodiment and AI * Ethics of AI * Human and Machine Creativity * Hybrid Human-AI * Knowledge Representation * Machine Learning * Robotics * Bio-inspired approaches. * Simulation of Human and Animal Behaviour * The Turing Test and Philosophical Foundations of AI -------------------------------------------------------------------------------- Proposing a Symposium Each symposium is organized by its own programme committee. The committee proposes the symposium, defines the area(s) and structure for it, issues calls for abstracts/papers etc., manages the process of selecting submitted papers for inclusion, and compiles an electronic file for inclusion in the convention proceedings. Proposers are welcome to submit or be involved with more than one proposal. Proposers need not already be members the AISB and will not be required to become members. They will of course be encouraged to join! Deadline for symposium proposals: 30th November 2025 Notification of acceptance: 15th December 2025 -------------------------------------------------------------------------------- Submissions should consist of the following - A title. - A 300–1000-word description of the scope of the symposium, and its relevance to the convention along with the nature of the academic events (talks, posters, panels, demonstrations, etc.). - Whether the symposium is intended as a sequel to a symposium at a previous AISB conference. - An indication of whether submissions will be by abstract, extended abstract, or full paper. - Your preferences about the intended length of the symposium as a number of days (half a day, one day or two days), together with a brief justification. - A description (up to 500 words) of any experience you have in organization of academic research meetings (please note that it is not a requirement that you have such experience). - Names and affiliations of any invited speakers that you may have in mind for the symposium. - Your names and full contact details, together with, if possible, names and workplaces of the members of a preliminary, partial programme committee. - Please e-mail your completed proposal to Simon Bowes: S.C.Bowes(a)sussex.ac.uk<mailto:S.C.Bowes@sussex.ac.uk>

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[Meetings] [CFP] NeuroDesign in HRI Student EXPO & Competition (Submission Deadline: November 10, 2025)
by NeuroDesign in HRI Nov. 4, 2025

Nov. 4, 2025

Dear HRIers, HCIers, Roboticists and Neuroscientists around the world, We hope this information finds you well! Are you developing a human-interactive robot, a wearable system, or a neuro-inspired interface and algorithm? Do you have a prototype, an early-stage concept, or a compelling study that reimagines the future of human-machine interaction? Thank you once again for your interest in participating in the *NeuroDesign in Human-Robot Interaction (HRI) Student Competition* (previously with IEEE RO-MAN 2025). We truly appreciate your continued enthusiasm and support! *🌟 We're thrilled to announce an exciting new update!* The *NeuroDesign in HRI Student EXPO & Competition *has been scheduled again as a "Virtual" event on *November 19, 2025*. This unique showcase welcomes undergraduate, master's, and PhD students to present their innovative work and engage in live, cross-disciplinary dialogue with an international jury of experts from * Human-Robot Interaction * Brain-Computer Interfaces (BCI) * Cognitive Neuroscience & Psychology * Wearable and Soft Robotics * Design, Arts & Human-Centered Engineering * AI, Innovation, and Startups Whether your project is a concept, a working prototype, or an exploratory study, we are excited to see how it challenges conventional boundaries and contributes to the evolution of neuroadaptive, engaging, and socially impactful technologies. 📤 *Final Submission Deadline: Monday, November 10, 2025* If you missed the chance to participate last time — no worries! 🎉 You're warmly invited to submit your entry by including the following materials to secure your* 5-minute pitch* spot (We're dedicating on selecting *10 finalists* on a *rolling basis* and *there are still few seats available!!* ): * (1) Project Title (required) (2) Abstract (~100 words) (required) (3) Choose One of the following (choose one) (required):* * 🎥 A 1–2 minute video overview, or 🖼️ 5 informative slides, or 📄 A 2-page write-up (IEEE RAS format preferred)* *You can submit your materials directly through our Google Form:*👉 https://docs.google.com/forms/d/e/1FAIpQLSdHr36BmtfTxLbjHSmiY1CYapUiZPXHgsn… —*or simply reply to the email *(✉️ neurodesign.hri(a)gmail.com) with your materials attached (or share access links). *🏆 Awards & Recognition* For full details on all awards and recognitions, please see here: 🔗 https://www.neurodesign-hri.ws/2025#competition-guidelines 🔆 *Highlights include:* 🧠 Best Innovation in HRI NeuroDesign (3 awards) – up to €500 EUR ❤️ Most Popular Project Award (2 awards) – including a full APC waiver for Frontiers in Robotics and AI 🎁 Lucky Draw Prizes (5 prizes) and certificates for all finalists 💯 100% award opportunity – all 10 finalists will receive recognition! ✨ Prizes are doubled compared to the previous call! *📅 Key Dates* 🔺* Final Submission Deadline: November 10, 2025* 🔺* Event Date: November 19, 2025* Join us in shaping the future of human-machine symbiosis—where your creativity fuels the innovation of tomorrow. We can't wait to see your visionary ideas come to life! With warm regards, *The NeuroDesign in Human-Robot Interaction TeamNeuroDesign in HRI Student EXPO & Competition*

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Fully funded PhD position for Chinese nationals in rodent electrophysiology analysis at QMU (London)
by Bush, Daniel Nov. 4, 2025

Nov. 4, 2025

Dear colleagues Please see here<https://www.qmul.ac.uk/sbbs/postgraduate/phd-programmes/projects/display-ti…> for details of a fully funded PhD position for Chinese nationals at Queen Mary University (London, UK). The project will primarily focus on the analysis of rodent electrophysiology data from the hippocampal formation, under the joint supervision of Guifen Chen<https://www.qmul.ac.uk/sbbs/staff/guifen-chen.html> (QMU) and Daniel Bush<https://bushlab-ucl.github.io/> (UCL). Data collection and computational modelling could also be incorporated, according to the successful applicant's interests and skills. This project offers a unique opportunity to bridge neuroscience, data science, and AI, helping to uncover how the brain turns transient experience into lasting memory. Please note that applicants must be a Chinese citizen and hold a Chinese passport so that they are eligible for CSC funding<https://www.qmul.ac.uk/scholarships/items/china-scholarship-council-scholar…> <https://www.qmul.ac.uk/scholarships/items/china-scholarship-council-scholar…> . Experience of programming in Matlab or Python, a good understanding of maths and/or experience of rodent experiments are also highly desirable. For more details, please feel free to contact Guifen Chen (guifen.chen AT qmul.ac.uk) or Daniel Bush (d.bush AT ucl.ac.uk). 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/> Associate Editor, PLoS Computational Biology<https://journals.plos.org/ploscompbiol/>

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Postdoc positions in nanoscale modeling of neurons, synapses or astrocytes
by Erik De Schutter Nov. 4, 2025

Nov. 4, 2025

The Computational Neuroscience unit (https://www.oist.jp/research/research-units/cnu) at the Okinawa Institute of Science and Technology has openings for postdoctoral researchers interested in nanoscale computational neuroscience modeling. Initial duration is two years with option to extend. We have been spearheading the development of efficient computational tools to simulate electrophysiological, molecular and cell biology processes in neurons at the nanoscale (STEPS project http://steps.sourceforge.net) Examples are detailed simulations of the molecular control of vesicle pools and their release in presynaptic terminals (Science Advances 2025) and of how morphology affects calcium transients in perisynaptic astrocytic processes. We make use of recent experimental data like single cell proteomics and super-resolution imaging of live cells. The modeling technology allows for simulation of complete neurons with their spines. We are looking for postdocs interested in pursuing questions about the function of cerebellar or hippocampal neurons, synapses or astrocytes that require nanoscale simulation. Competences: Experience in computational modeling with a recent PhD in a relevant discipline such as computational biology, neuroscience, molecular biology, biophysics or biochemistry. Experience in programming in Python. Fluent English conversation and writing skills. Benefits / Offer: A seniority-based salary and relocation package are offered. Standard medical insurance and housing allowance are included. This an ideal position to gain experience in a prominent computational neuroscience lab and take part in our international collaborations. Please contact Prof. Erik De Schutter (erik(a)oist.jp) for inquiries.

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World wide VVTNS series (6th season): Wednesday, November 5, 2025, at 11:00 am ET - Georges Debrégeas CNRS, Paris
by David Hansel Nov. 2, 2025

Nov. 2, 2025

[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 Georges Debrégeas CNRS, Paris on the topic of Latent-aligned generative models uncover shared structure in spontaneous whole-brain dynamics? The lecture will be held on zoom on Wednesday, November 5, 2025, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Assessing how brain activity generalizes across individuals is a central challenge in experimental neuroscience. Traditional task- or stimulus-driven approaches align data through trial averaging and anatomical registration, but these methods fail for spontaneous activity, where no shared temporal reference exists. In this talk, I will introduce a statistical framework, called latent-aligned Restricted Boltzmann Machines, to build a common representational space from whole-brain recordings of spontaneous activity in multiple zebrafish larvae. This shared latent space, composed of spatially localized co-activation motifs or cell assemblies, allows bidirectional mapping of brain states: activity patterns from one fish can be encoded and decoded into another. The translated activity patterns retain their original spatial structure and show high plausibility within the recipient brain. We further use this shared space to segment spontaneous activity into discrete brain states and we quantify their Markovian transition statistics. Remarkably, these state-to-state dynamics are stereotyped across individuals, suggesting that spontaneous activity reflects intrinsic computational priors of neural processing. Together, these results demonstrate how probabilistic generative modeling can bridge individual variability and reveal conserved organizational principles of vertebrate brains. *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.*

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Call for Papers: "Spiking Neural Networks at Scale" in Frontiers in Neuroscience
by Wei Fang Nov. 2, 2025

Nov. 2, 2025

Dear colleagues: I am glad to tell you that the following research topic is now open for submissions in /Frontiers in Neuroscience/: Spiking Neural Networks at Scale: Learning Algorithms, Architectures, and Real-World Applications Refer to this link for more details: https://www.frontiersin.org/research-topics/74585/spiking-neural-networks-a… Please feel free to submit your article by 24 Dec 2025. -- ----------------------- Wei Fang Postdoc, Electrical & Computer Engineering Yale University, USA

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Collaborate with the International Brain Laboratory
by Nick Steinmetz Oct. 31, 2025

Oct. 31, 2025

Dear colleagues - The International Brain Laboratory <https://www.internationalbrainlab.com/> is entering a new phase. We have completed our "Brain-wide Map <https://www.nature.com/articles/s41586-025-09235-0>" of neural activity during a complex behavior, alongside detailed studies of the reproducibility of neural <https://elifesciences.org/articles/100840> and behavioral <https://elifesciences.org/articles/63711> data and the development of new methods <https://www.nature.com/articles/s41592-022-01742-6> and visualizations <https://viz.internationalbrainlab.org/app> for large-scale datasets, as well as many scientific studies <https://www.internationalbrainlab.com/publications>. Now, the IBL seeks to broaden access to its tools, pipelines, and methodologies to new research groups. You can now collaborate with the IBL on your own project: we aim to bring our approaches to new large-scale projects and we are looking for new partners! We can help with your Neuropixels recordings, multiphoton imaging, data processing, visualisation, data management, and more. Or, we can support work that you want to do using IBL's existing public data, for example if it requires running new large-scale analyses of those data that you need help with. These services are free to you, thanks to generous funding from the Simons Foundation, and provided by our world-class team of expert staff. Learn more and apply, with a short 2-page proposal, at: www.internationalbrainlab.com/ibl-core-apply Applications deadline now extended to Nov 8! Nick Steinmetz -- Associate Professor Department of Neurobiology & Biophysics University of Washington, Seattle www.steinmetzlab.net

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The recording of the VVTNS sixth season opening talk (Andrew Barto, October 29, 2025) is now available online
by David Hansel Oct. 31, 2025

Oct. 31, 2025

[image: VVTNS.png] > > <https://streaklinks.com/BT7ApM4NDVkoziHWhQptf9sP/https%3A%2F%2Fwww.wwtns.on…> > https://www.wwtns.online > <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> > - on twitter: wwtns@TheoreticalWide - on Youtube > The VVTNS sixth season opening talk delivered on October 29, 2025 by Andrew Barto University of Massachusetts, Amherst on the topic What is So Interesting About Reinforcement Learning? is now available https://www.wwtns.online/past-seminars-2025-2026 <https://www.wwtns.online/past-seminars-2022-2023> *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.* April, 13, 2022 ᐧ ᐧ ᐧ ᐧ ᐧ ᐧ ᐧ ᐧ --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62

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Call for papers – Special Issue “Simulating Developmental Neurobiology”
by Ruben A. Tikidji-Hamburyan Oct. 30, 2025

Oct. 30, 2025

Dear Colleagues, Frontiers in Computational Neuroscience is running a Research Topic, [“Simulating Developmental Neurobiology,”](https://www.frontiersin.org/research-topics/71541/simulatin… and invites submissions that advance computational modeling of neural development. This special issue, accessible to the global community, will gather multidisciplinary contributions. Scope of Interest We welcome original research articles, methodological papers, and concise reviews addressing, but not limited to, the following topics: - Computational models of neurogenesis, migration, and differentiation. - Multi-scale simulations linking molecular pathways to tissue dynamics. - Activity-dependent plasticity and circuit formation in development. - Integration of imaging, electrophysiology, and omics in modeling. - Novel algorithms or tools for modeling developmental processes. - Validation studies comparing models and empirical data. The submission deadline is 29 January 2026. Submission Procedure - Access the Research Topic [page](https://www.frontiersin.org/research-topics/71541/simulating-developm…: https://www.frontiersin.org/research-topics/71541/simulating-developmental-… - Click “Submit Your Manuscript.” - Select the appropriate article type (Original Research, Methods, or Review). - Ensure that “Simulating Developmental Neurobiology” is chosen as the Research Topic during the submission process. All submissions will undergo rigorous peer review while benefiting from Frontiers’ transparent review model. On behalf of the topic editors of Simulating Developmental NeurobiologyRuben Tikidji-Hamburyan --- Ruben A. Tikidji-Hamburyan, Ph.D. Senior Research Scientist Department of Physiology & Pharmacology School of Medicine and Health Sciences, George Washington University Washington, DC 20052, USA e-mail: rath(a)gwu.edu

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International Conference on Neural Information Processing (ICONIP) 2025, Nov. 20-24 at OIST
by Kenji Doya Oct. 30, 2025

Oct. 30, 2025

The 32nd International Conference on Neural Information Processing (ICONIP) 2025 is starting on November 20th at Okinawa Institute of Science and Technology (OIST). Here is an update: • The main conference is in-person, single-track format. Registration includes online access to >400 papers in Spring LNCS and CCIS. • Tutorials can be joined in-person or online. Registration allows access to recordings of all tutorials. • Registrations for the banquet, childcare, shuttle bus, etc. will close on October 31st (AoE). • Open Forum on AI Agents and Human Society is organized for dialogue with local citizens and students. Please visit the web https://iconip2025.apnns.org and register. We hope to see many of you in beautiful Okinawa. ***** The 32nd International Conference on Neural Information Processing (ICONIP) 2025 Date: November 20 to 24, 2025 Venue: Okinawa Institute of Science and Technology (OIST): https://www.oist.jp Web site: https://iconip2025.apnns.org Honorary Chairs: Shun-ichi Amari, Kunihiko Fukushima Keynote Lectures: Jun Tani (OIST): Development of Higher Cognitive Mechanisms: Insights From Neurorobotics Yew Soon Ong (NTU): Closing the gap: From Digital AI to Physically grounded intelligence Asako Kanezaki (IST): Machine Learning for Robots: From Perception to Action Tutorials: Taiji Suzuki (U Tokyo): Mathematical Theories of Deep Foundation Models Takuya Isomura (RIKEN): Free-energy Principle for AI Researchers and Neuroscientists Saori Tanaka (ATR, NAIST), Okito Yamashita (ATR, RIKEN), Yu Takagi (NIT): AI for Human Neuroscience Research Maryam Doborjeh, Nikola Kasabov (AUT): Improved Explainability with Spiking Neural Networks Yoshimasa Tawatsuji, Hiroshi Yamakawa, Yudai Suzuki (U Tokyo): Methodology for Designing Brain-Like AI Software Special Sessions: Sustainable Smart Villages – Harnessing Edge AI and TinyML for Low-Resource Communities Generative AI and Deep Learning for Advancing Affective Human-Robot Interaction Reliable, Robust and Secure Machine Learning Algorithms and 5 more Workshops: 18th International Workshop on Artificial Intelligence and Cybersecurity (AICS 2025) Quantifying and Simulating Multi-Neuromodulatory Dynamics in the Biological Brain and 5 more Open Forum: Society of Humans and AI Agents (in Japanese with English transcript) Yutaro Yamada (Sakana AI) Mizuki Oka (Chiba Tech, Artificial Life Institue) and other panelists General Chairs: Kenji Doya, Maryam Doborjeh Program Chairs: Tadahiro Taniguchi, Andrew Chi Sing Leung Inquiry: iconip2025(a)apnns.org ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://www.oist.jp/ncu

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2-year PostDoc position AI perception and control for robotics
by Bernabé Linares Barranco Oct. 30, 2025

Oct. 30, 2025

*2-year PostDoc position in Spain (Barcelona and Sevilla):* The Institute of Informatic and Industrial Robotics in Barcelona (http://www.iri.csic.es) and the Sevilla Microelectronics Institute (http://www.imse-cnm.csic.es) offer a joint MSCA Post-Doctoral 2-year fellowship for conducting cutting-edge AI research focused on exploring Spiking Neural Networks for AI systems in robotics perception and control. More details are available at: http://www2.imse-cnm.csic.es/neuromorphs/data/_uploaded/file/postdoc_IMSE-I… Interested candidates please contact: teresa.serrano(a)csic.es --

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Join COMPLEX NETWORKS 2025 – Explore the Full Program & Register Now
by Hocine Cherifi Oct. 30, 2025

Oct. 30, 2025

Dear Colleagues, We are pleased to invite you to participate to *COMPLEX NETWORKS 2025* in *Binghamton, New York, USA*, from *December 9 to 11, 2025*. The *final program* is now available: 📄 *Program Download:* [ https://drive.google.com/file/d/18s7apg46PBZCvu2YJg7P6IABoqLCWsNm/view?usp=… ] <https://drive.google.com/file/d/18s7apg46PBZCvu2YJg7P6IABoqLCWsNm/view?usp=…> 🌐 Also accessible soon on https://complexnetworks.org <https://complexnetworks.org?utm_source=chatgpt.com> This year’s conference will feature: 🎓 *Tutorials (December 8):* · *Yian Yin* (Cornell University): *Toward a Quantitative Understanding of Failure* · *Brennan Klein* (Northeastern University): *Networks, Shapes, Maps, and More* 🎤 *Keynote Speakers (December 9–11):* · *Kimberley Glass* (Harvard Medical School): *Network Modeling for Precision Medicine* · *Mark Newman* (University of Michigan): *Networks and Ranking in Sports, Markets, and Society* · *Michelle Girvan* (University of Maryland): *Meta-Learning with Reservoir Networks: Forecasting Complex Systems from Limited Data* · *Luis Bettencourt* (University of Chicago): *The Networks of Cities: From Complex Infrastructure to Human Development* · *David Stark* (Columbia University): *“This is not a Test!”: Testing After Preparedness* In addition to these highlights, the program includes *three full days of oral, lightning, and poster sessions* covering all aspects of *network science, computational social science, and machine learning on graphs*, along with *networking events* such as the Welcome Reception and Gala Dinner. 👉 *Register now:* [https://complexnetworks.org/registration/] <https://complexnetworks.org/registration/> We look forward to welcoming you in *Binghamton* this December for an inspiring and collaborative edition of COMPLEX NETWORKS. Best regards, *Hocine Cherifi* General Co-Chair – Complex Networks 2025 📍 https://complexnetworks.org <https://complexnetworks.org?utm_source=chatgpt.com> Join us at COMPLEX NETWORKS 2025 <https://complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, 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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CRCNS 2025: Registration closes tomorrow at midnight!
by Garrison Cottrell Oct. 29, 2025

Oct. 29, 2025

Hi folks - Sorry for the late notice, as registration is going to close tomorrow, but even if you are not funded by the *NSF Collaborative Research in Computational Neuroscience program,* you are welcome to attend our PI's meeting, just prior to the SfN meeting, November 13th and 14th on the UCSD campus. The tentative meeting schedule is here <https://inc.ucsd.edu/events/crcns/2025/program.php>, and registration is here <https://urldefense.com/v3/__https://na.eventscloud.com/ereg/index.php?event…>. Keynote speakers are Terry Sejnowski and Bruno Olshausen. cheers, Gary Cottrell

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Postdoctoral Fellowships at Yale's Wu Tsai Institute (Deadline Nov 10)
by Dan Levenstein Oct. 28, 2025

Oct. 28, 2025

The Wu Tsai Postdoctoral Fellowships <https://wti.yale.edu/initiatives/postdoctoral> are now open to applications. Please share this email with early-career scientists interested in interdisciplinary research to advance fundamental understanding of cognition. The program offers a generous stipend for up to 3 years, discretionary funds and additional funding opportunities, access to cutting-edge facilities, protected time and programmatic opportunities for professional development, 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 single mentors while transitioning to a new field; or propose self-directed computational or theoretical projects with flexible mentoring arrangements. Candidates are encouraged to reach out to any of the over 180 Wu Tsai Faculty Members <https://wti.yale.edu/humans/faculty>. The deadline for applications is November 10. Candidates can find more information, past awardees, and application instructions here: https://wti.yale.edu/initiatives/postdoctoral Feel free to forward this email and encourage scientists who might be interested to apply. For questions, please contact wti(a)yale.edu <mailto:wti@yale.edu>.

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[Meetings] [CFP] Call for Submission: NeuroDesign in HRI Student EXPO & Competition @ Neuroscience 2025
by NeuroDesign in HRI Oct. 28, 2025

Oct. 28, 2025

Dear Colleagues, We hope this information finds you well and aligns with your interests. Are you developing a human-interactive robot, a wearable system, or a neuro-inspired interface? Do you have a prototype, an early-stage concept, or a compelling study that reimagines the future of human-machine interaction? Thank you once again for your interest in participating in the NeuroDesign in Human-Robot Interaction (HRI) Student Competition (previously with IEEE RO-MAN 2025). We truly appreciate your continued enthusiasm and support! 🌟 We're thrilled to announce an exciting new update! The NeuroDesign in HRI Student EXPO & Competition has been scheduled again as a “Hybrid” event (online + onsite), co-located with Neuroscience 2025 ( https://www.sfn.org/meetings/neuroscience-2025) in San Diego on November 19, 2025. This unique showcase welcomes undergraduate, master's, and PhD students to present their innovative work and engage in live, cross-disciplinary dialogue with an international jury of experts from * Human-Robot Interaction * Brain-Computer Interfaces (BCI) * Cognitive Neuroscience & Psychology * Wearable and Soft Robotics * Design, Arts & Human-Centered Engineering * AI, Innovation, and Startups Whether your project is a concept, a working prototype, or an exploratory study, we are excited to see how it challenges conventional boundaries and contributes to the evolution of neuroadaptive, engaging, and socially impactful technologies. 📤 Final Submission Deadline: Monday, November 10, 2025 If you missed the chance to participate last time — no worries! 🎉 You're warmly invited to submit your entry by including the following materials to secure your 5-minute pitch spot: (1) Project Title (necessary) (2) Abstract (~100 words) (necessary) (3) Choose One of the following (choose one) (necessary): 🎥 A 1–2 minute video overview, or 🖼️ 5 informative slides, or 📄 A 2-page write-up (IEEE RAS format preferred) You can submit your materials directly through our Google Form: 👉 https://docs.google.com/forms/d/e/1FAIpQLSdHr36BmtfTxLbjHSmiY1CYapUiZPXHgsn… —or simply reply to the email (✉️ neurodesign.hri(a)gmail.com) with your materials attached (or share access links). 🏆 Awards & Recognition For full details on all awards and recognitions, please see here: 🔗 https://www.neurodesign-hri.ws/2025#competition-guidelines Highlights include: 🧠 Best Innovation in HRI NeuroDesign (3 awards) – up to €500 EUR ❤️ Most Popular Project Award (2 awards) – including a full APC waiver for Frontiers in Robotics and AI 🎁 Lucky Draw Prizes (5 prizes) and certificates for all finalists 💯 100% award opportunity – all 10 finalists will receive recognition! ✨ Prizes are doubled compared to the previous call! 📅 Key Dates 🔺 Final Submission Deadline: November 10, 2025 🔺 Event Date: November 19, 2025 (San Diego & Online) Join us in shaping the future of human-machine synergy—where your creativity fuels the innovation of tomorrow. We look forward to celebrating your ideas and visionary work! With warm regards, The NeuroDesign in Human-Robot Interaction Team NeuroDesign in HRI Student EXPO & Competition Co-located with Neuroscience 2025

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PhD student positions in computational neuroscience / machine learning / bioinformatics
by Philipp Berens Oct. 27, 2025

Oct. 27, 2025

We are hiring two PhD student for machine learning projects about (1) spatial transcriptomics in the retina and (2) using biophysical modeling to understand energy consumption in the retina! In project (1), we want to better understand how neurons in the retina change their function and genetics over time. During your PhD, you will develop novel probabilistic models for cutting-edge data acquired in collaboration with Thomas Euler and Shahar Alon. As an ideal candidate, you are curious about open questions in neuroscience, and passionate about using your datascience skills to merge these data with previous datasets across modalities (Calcium imaging, spatial transcriptomics, single-cell transcriptomics) to get to novel insights about the retina and the visual system. https://jobs.medizin.uni-tuebingen.de/Job/6816/PhD-student-in-bioinformatic… In project (2), we want to use biophysical modeling to understand energy consumption in the retinaand integrate the resulting models with a deep reinforcement learning framework! The project will allow you to work with cutting-edge differentiable simulator for understanding principles of neural coding. This PhD is part of aDeutsche Forschungsgemeinschaft (DFG) - German Research Foundation <https://www.linkedin.com/company/deutsche-forschungsgemeinschaft/>-funded iRTG "limits2vision" (https://limits2vision.net/ <https://limits2vision.net/>) betweenUniversity of Tübingen <https://www.linkedin.com/company/eberhard-karls-universit-t-t-bingen/>andUniversité Paris-Sorbonne <https://www.linkedin.com/company/lettres-sorbonne-universite/>. https://jobs.medizin.uni-tuebingen.de/Job/6831/PhD-student-computational-ne… Both post will be filled as soon as possible. -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.hertie.ai

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Meetings - 2026 Nengo Summer School Call For Applications
by Madeleine Bartlett Oct. 27, 2025

Oct. 27, 2025

Dear colleagues, All details about this school can be found online at https://www.nengo.ai/summer-school The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 11th 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 in-person 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 22nd, 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 31st to June 12th, 2026 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! Maddy she/her Postdoctoral Fellow University of Waterloo email: m2bartle(a)uwaterloo.ca

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Ph.D. position in event-based computing / spiking networks at Champalimaud, Lisbon
by Christian Machens Oct. 27, 2025

Oct. 27, 2025

PhD position in computational neuroscience (event-based computing / spiking networks) As part of a Marie-Curie Doctoral Network (ELEVATE <https://www.elevate-dn.eu/index.php/about/>), we are offering a PhD student position. The proposed project sits a the interface of computational neuroscience and neuromorphic computing, and is embedded within a strong network of European academic and industrial partners. ENVIRONMENT: The student will be part of the Theoretical Neuroscience lab <https://www.machenslab.org/>, led by Christian Machens, which is hosted at the Champalimaud Centre for the Unknown in Lisbon, Portugal. The Champalimaud Foundation <https://www.fchampalimaud.org/> is a private, non-profit institute with a vibrant and highly international academic community. Many groups work in the field of systems and computational neuroscience, <https://www.fchampalimaud.org/champalimaud-research> providing a stimulating and exciting work environment. The student will also interact with the training network ELEVATE <https://www.elevate-dn.eu/index.php/about/> and spend several months at Rodolphe Sepulchre <https://sites.google.com/site/rsepulchre/>‘s lab at KU Leuven, Belgium. PROJECT: Across the animal world, biological networks are made up of different types of neurons. The most prominent division is that between excitatory (E) and inhibitory (I) neurons. However, modern AI system as well as most neuromorphic systems ignore this division and assume only one type of neuron. In this project, we will study the specific functional or structural qualities arising from a division into E and I neurons, and work out any potential benefits. One key design feature of networks with E and I neurons is that they are composed of intrinsically unstable subsystems, namely recurrently connected E neurons, that are controlled and stabilized by other subsystems, namely I neurons. The benefits of designing and controlling intrinsically unstable systems have long been known to engineers in other context, e.g., the desing of modern fighter aircraft. The goal of this project is to use some of these engineering insights in order to investigate how the interplay of excitation and inhibition can be utilized to perform specific computations. Since real neurons communicate with discrete events (spikes), a key aim is to work out the distinct computational roles of inhibitory and excitatory spikes, and apply the concepts to a few example systems. TASKS: * Study the relevant background literature from both engineering and neuroscience fields. Based on geometric and analytical insights from the framework of ‘spike coding networks’, develop analytical or geometric methods to study the roles of excitatory and inhibitory spikes. Develop a few canonical systems and use numerical simulations to demonstrate the role of excitatory and inhibitory populations in computational tasks. * Publish research articles, regular participation in top international conferences to present your work. * Complete an internship at KU Leuven with Prof. Rodolphe Sepulchre * Participate in yearly retreats organized by the doctoral network participants * Support the dissemination of software tools and concepts. SALARY AND CONDITIONS: The salary and benefits will follow standard EU rules. PhD students will receive their degree from the NOVA University of Lisbon. APPLICATION: We are looking for a candidate with strong quantitative skills (e.g., degree in physics, computer science, engineering, etc.) and curiosity about how the brain works. Interested candidates should submit a detailed CV, a cover letter explaining their interest in the position (1 page), a transcript for their BSc and Msc, and the contact information of 2 references to christian.machens(a)neuro.fchampalimaud.org. The application process will remain open until the position is filled. We strive to build a diverse work environment and encourage applications from all qualified individuals irrespective of their gender, age, cultural background, and disability status. Only candidates shortlisted for this position will be contacted for an interview. STARTING DATE: We anticipate a start in the year 2026. The earliest starting date is January 1st, 2026.

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World wide VVTNS series: Sixth season opening lecture, Wednesday, October 29, 2025, at 11:00 am EDT - Andrew Barto
by David Hansel Oct. 26, 2025

Oct. 26, 2025

*Important:* The seminar is at 11 am *EDT* Europe moved to Winter Time on Sunday, October 26, 2025 US will move to Winter Time next Sunday, November 2 This week 11 am EDT= 4pm CET Check the time where you are [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 sixth season opening lecture of the online VVTNS series Andrew Barto University of Massachusetts Amherst on the topic of What is So Interesting About Reinforcement Learning? The lecture will be held on zoom on October 29, 2025, at *11:00 am EDT * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *This talk aims to answer these questions along four dimensions. First is history. RL was the basis of AI long before the term AI was introduced in 1956. The first machine learning (ML) systems were based on RL even before digital computers existed. Despite notable early successes of ML based on RL, RL essentially disappeared from ML until relatively recently. A second reason for renewed interest in RL is the clarification of some misunderstandings that have been prevalent in the ML community. A third, and most important, reason for this resurgence is that new, or rediscovered, algorithms and connections to well developed mathematical and engineering methods have been worked out. Finally, a fourth reason for the renewed interest in RL is its strong links to animal reward systems, in particular, to the role that dopamine plays in motivation and learning. *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

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Open PhD and Postdoc position at El-Boustani Lab (University of Geneva, Switzerland)
by sami_elboustani＠msn.com Oct. 21, 2025

Oct. 21, 2025

The El-Boustani Lab at the University of Geneva (Switzerland) is looking for a highly motivated PhD student and Postdoctoral fellow to research the plasticity mechanisms underlying the learning of goal-directed sensorimotor associations in mice. This project involves whole-brain mappings, two-photon calcium imaging of neuronal populations, as well as dendritic spine imaging in mice during the acquisition of perceptual decision-making tasks. Genetically encoded tools will be used to dissect the circuits that contribute to the learning of these tasks, and state-of-the-art behavioral modeling will help infer the timescale and nature of synaptic plasticity. Successful applicant will contribute to a research program focused on understanding how changes in specific sensorimotor synapses underpin the acquisition of new associations. We welcome applicants with diverse quantitative backgrounds, including but not limited to neuroscience, mathematics, physics, and engineering. We are especially interested in applicants with excellent programming skills (e.g., MATLAB, Python), experience with mouse behavior and imaging techniques in vivo. Switzerland offers a vibrant neuroscience community with outstanding research conditions and attractive salaries. Candidates should send their CV, at least two references and a brief cover letter describing their previous work and future goals to Sami El-Boustani: sami.el-boustani(a)unige.ch. Please visit http://elboustani-lab.org/ for more details.

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Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero Simoncelli Oct. 20, 2025

Oct. 20, 2025

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 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. * 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: 4 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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PhD positions in Multi-level modelling of neuromodulation and lesioning
by Nada Yousif Oct. 19, 2025

Oct. 19, 2025

Applications are invited from PhD studentship candidates to work on multi-level modelling of neuromodulation and lesioning at the Biocomputation Research Group, University of Hertfordshire, UK. The projects are focussed on understanding the human nervous system in health and disease using computational modelling of neurons and networks. More details can be found at: https://tinyurl.com/2xe2sxva Informal enquiries to Dr Nada Yousif (n.yousif(a)herts.ac.uk) Application deadline: 14 November 2025 Studentship: approximately £20,700 per annum bursary plus payment of the student fees. Applicants from inside and outside the UK are eligible. The Centre for AI and Robotics Research and the University of Hertfordshire provide a very stimulating environment, offering a large Doctoral School with many specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in REF 2021, with 90% of the research submitted and all the research impact rated as internationally excellent or world leading. Information on the application procedure and an application form can be found at: https://tinyurl.com/3k8j9c3m

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Computational Psychology position at Tufts University
by Erin Munro Krull Oct. 19, 2025

Oct. 19, 2025

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Postdoctoral Research Fellow in Biocomputation at the University of Hertfordshire, UK
by Volker Steuber Oct. 17, 2025

Oct. 17, 2025

Post Title: Research Fellow in Biocomputation SBU/Department: School of Physics, Engineering and Computer Science ________________________________ FTE: 1 FTE (working 37 hours per week) Duration of Contract: Fixed term Contract (3 years) Salary: UH7 £36,333 pa with potential to progress to £43,155 pa on achieving designated skills and experience Annual Leave: 35 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year Location: College Lane Campus, Hatfield, UK Closing Date: 14th June 2023 Interview Date: To be confirmed Reference Number: 048016 Date advert placed: 17th May 2023 Main duties and responsibilities We are seeking a full-time Research Fellow to join the Biocomputation Research Group in the School of Physics, Engineering and Computer Science at the University of Hertfordshire to conduct high-quality research in Computational Neuroscience. The successful candidate’s research will involve synergistic collaborations with a multidisciplinary team to investigate brain processes using methodologies such as computational modelling, machine learning and AI. Research to be conducted could, e.g., comprise modelling brain circuits like the olfactory bulb or the cerebellum and simulating and analysing their function. Additional impact could arise in machine learning, AI, data science, neurorobotics and neuromorphic computing. The successful candidate will be expected to establish a programme of research in collaboration with colleagues at UH and partner organisations in the UK and abroad. Leading the preparation and publication of research manuscripts is a key aspect of the role. Contributions to the preparation of research proposals and applications for funding to external bodies, such as the European Commission and the UK Research and Innovation (UKRI) are expected. The postholder will create opportunities to maximise research activities, capturing relevant evidence to support impact and engaging with external partners and stakeholders. Skill and experience required * Strong theoretical, computational and programming background in computational modelling and/or machine learning and/or data science and/or AI. * Background and expertise in computational neuroscience (e.g. spiking neural networks, brain function and anatomy, analysis of brain data). * Demonstrated experience to conduct independent research in computational neuroscience or a related field, e.g., through published research papers or monographs. * Applicants must be proficient in both written and oral English * The applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Qualifications required • An undergraduate honours degree (or equivalent) in Computer Science, Physics, Mathematics, Neuroscience, or a related discipline and a PhD (or expectation that one will soon be awarded) in a relevant discipline. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Contact Details/Informal Enquiries: Professor Volker Steuber, v.steuber(a)herts.ac.uk Professor Michael Schmuker, m.schmuker(a)herts.ac.uk Apply through: https://www.jobs.herts.ac.uk/go/048016 Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

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Postdoc position at U Oregon
by James Murray Oct. 16, 2025

Oct. 16, 2025

A postdoc position is available with Prof. James Murray (murraylab.uoregon.edu) at the University of Oregon’s NeuroAI Center (ion.uoregon.edu/neuroai) Application link: https://academicjobsonline.org/ajo/jobs/30896 Position Summary -- In our research, our group seeks to uncover the principles of how the brain performs computations and implements learning related to motor control and sensory perception. Some of the scientific questions that motivate our work are - How do different regions of the brain interact to learn new motor skills? - What are the principles that enable brains and artificial agents to learn efficiently from experience while minimizing forgetting? - How can models of learning and motor control be synthesized across different levels of description? Our research group aims at building mechanistic models of brain function grounded in a combination of theoretical approaches, neural network-based simulations, and machine-learning analysis of experimental data. The candidate will have the opportunity to collaborate with a large network of experimental collaborators at University of Oregon and at other institutions with expertise in sensory processing (visual, auditory, and olfactory), motor control, naturalistic behavior, neural engineering, and brain-computer interfaces. While previous experience in computational neuroscience and machine learning are welcome, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are encouraged to apply as well. The Oregon NeuroAI Center is part of the Institute of Neuroscience at the University of Oregon (ion.uoregon.edu) a major hub for systems and theoretical neuroscience research. The University of Oregon is located in Eugene, Oregon, a vibrant college town in the Pacific Northwest with ample cultural offerings and phenomenal access to outdoor recreation. We offer a competitive salary commensurate with the candidate’s experience, and remote work arrangements may be considered. Required Qualifications -- Successful candidates will have a PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. Applicants should have a strong quantitative background including at least some coding experience. Application -- Application link: https://academicjobsonline.org/ajo/jobs/30896 Application reviews will start on December 1st and will continue until the position is filled. Please send inquiries to jmurray9(a)uoregon.edu. Applications should include a CV, two-page statement of research interests, and contact information for three letters of reference.

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[Newsletter RTAIM] 22nd RTAIM Seminar | Call Abstract: Rio de Janeiro International Workshop: Ethics and Artificial Intelligence | Call for Papers (JAIC) | Others]
by steven gouveia Oct. 15, 2025

Oct. 15, 2025

Dear All, You are welcome to attend the 22th rTAIM Online Seminar, with the participation of Markus Rüther (Jülich Research Centre and University of Bonn, Germany), 15 October 2025, 3:00pm - 4:30pm (Lisbon Time) via Microsoft Teams with the title “Meaningfulness Gaps in Medical AI". Link available: https://ifilosofia.up.pt/activities/seminar-22-rtaim Or: * Link: https://teams.microsoft.com/meet/3331048785485?p=LOIA0dGCgnqZXqSGdW * Meeting ID: 3331048785485 * Password: Yh2sE7zQ Moreover, the Call for Abstract for the Rio de Janeiro International Workshop: Ethics and Artificial Intelligence is still open until the 18 October 2025: https://trustaimedicine.weebly.com/rio-janeiro-workshop-ethics-ai.html New book out: “Ethics in Artificial Intelligence: A Multidisciplinary Approach”, Ethics Press. Info: https://ethicspress.com/products/ethics-in-artificial-intelligence Finally, paper submissions for a special issue on AI, 4E and Consciousness at the Journal of Artificial Intelligence and Consciousness is available here (deadline: 31 August 2025): https://www.worldscientific.com/page/jaic/callforpapers02. Sincerely yours, RTAIM Team

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Postdoc position in Digital twin brain for Alzheimer's Disease (Spase Petkoski, INS Marseille)
by Spase Petkoski Oct. 15, 2025

Oct. 15, 2025

Job Offer: Postdoctoral Researcher in Digital Twin Brain for Prediction of Longitudinal Trajectories in Alzheimer’s Disease Location: Institut de Neurosciences des Systèmes <http://ins-amu.fr/>, Aix-Marseille University, France More info: https://ins-marseille.squarespace.com/jobs/job-posting-postdoc-alzheimer-1 Summary: We are recruiting a Postdoctoral Researcher for an ANR-funded project called Digital Twin Brain for prediction of longitudinal trajectories in Alzheimer’s Disease (AD). The postdoc will be based at Aix-Marseille University, at the Institut of Systems Neuroscience <https://ins-amu.fr/> in Marseille and will work under the lead of Spase Petkoski, INSERM CR (tenured researcher, equivalent to an Associate Professor), part of the Theoretical Neuroscience group led by Viktor Jirsa. A close collaboration is also envisaged with the clinical practitioners from the Neurology department of the public hospital at Marseille (APHM), the neurologists Mira Didic and Olivier Felician who work with patients with dementia, as well as with JF Mangin, the head of neuroimaging at Neurospin in Paris. As a postdoctoral researcher, the candidate will be responsible for developing and implementing computational models for the molecular mechanism of pathological proteins in AD into the whole-brain neuroinformatics platform The Virtual Brain <https://www.thevirtualbrain.org/tvb/zwei/> (TVB). Specifically, this will be done through glutamatergic and GABAergic synapses, utilizing existing neuronal mass candidates from the literature and from the previous work by the group. The model will also combine the mechanisms of prion-propagation. The modeling work will be accompanied by resting-state fMRI data analysis to identify the biomarkers of interest. The main cohort for the project will be Memento <http://www.memento-cohort.org/>, but ADNI3 <https://adni.loni.usc.edu/data-samples/adni-data/> will be also used. The candidate is thus expected to be familiar with concepts from Nonlinear Dynamics, in particular, solving and analyzing coupled ordinary differential equations. In the later stage, the project will also require an application of model inversion with simulation-based inference that should facilitate establishing links between the model parameter space and the neuroimaging data features. The latter will be a key component of this project and will also require addressing issues related to model degeneracy and resilience. The successful candidate will join a dedicated team developing models and methodologies for better explanation of neuroimaging data. This work has a broader impact than AD, it will establish an interpretable link across scales from synapses to neuronal populations (the network nodes in TVB), and significantly amplify the effectiveness of TVB in comprehending multiscale effects within brain networks. This, in turn, will facilitate the enhanced usability of digital twins in the clinical context and in diagnosing brain health status. Required Qualifications: PhD (or equivalent) in computational neuroscience or related discipline. Experience in one or more of the project research topics, including Brain Network Models, Dynamical systems, Prion Spreading, Machine Learning, and Alzheimer’s Disease. Proficiency in programming with Python, with expertise in scientific computing packages. Proficiency in spoken and written English. Desired Qualifications: Background in neuroscience. Familiarity with TVB. Experience running parallelized large-scale simulations on supercomputers. Expertise in time-series analysis, data science and data visualization. About The Theoretical Neuroscience Group: We are a multinational and interdisciplinary team dedicated to unraveling the spatiotemporal organization of large-scale brain networks. Our work encompasses mathematical and computational modeling of large-scale network dynamics, the analysis of human brain imaging data, and the development of neuroinformatics tools for studying large-scale brain networks, particularly in the context of brain disorders such as epilepsy, Alzheimer's disease, and multiple sclerosis, and healthy aging. The group is heavily involved in developing standard models for digital twins in the infrastructure project of EBRAINS <https://www.ebrains.eu/>. Terms of Employment: This is a fully funded multi-year position with excellent benefits. The initial appointment is for one year, with the potential for extension up to 3 years. Salary will be commensurate with experience. Application Deadline: November 10th. Starting Date: January 2026 How to Apply: Please send a CV, a short cover letter describing your research interests, and contact details for 2–3 referees to spase.petkoski(a)univ-amu.fr <mailto:spase.petkoski@univ-amu.fr>. We look forward to welcoming a highly motivated and qualified postdoctoral researcher to our team to advance our understanding of large-scale brain network models in the context of Alzheimer’s Disease and to move closer to real digital twins of the brain.

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PhD position in cognitive computational neuroscience
by Mingbo Cai Oct. 15, 2025

Oct. 15, 2025

*PhD position in cognitive computational neuroscience * The lab led by Dr. Mingbo Cai at University of Miami ( https://cailab-miami.org/) has a PhD position open for Fall 2026. Students with computational background and/or experience with neuroimaging are highly encouraged to apply. The lab has an ongoing project on fMRI study of decoding spontaneous thoughts and we are looking for a student excited about this area, either for basic science or mechanistic study of rumination and worry. Students interested in using computational modeling and novel cognitive tasks to study decision making and learning, as well as computational psychiatry, are also welcome to apply. The deadline of application is December 1, 2025. Please apply through the cognitive and behavioral neuroscience division: https://www.psy.miami.edu/graduate/doctoral-programs/index.html Mingbo Cai Assistant Professor Department of Psychology University of Miami

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Scholarships available for BCCN Berlin International Doctoral Program Computational Neuroscience
by GraduatePrograms Oct. 14, 2025

Oct. 14, 2025

Dear colleagues, we at the Bernstein Center for Computational Neuroscience Berlin are happy to announce that we have two DAAD-funded scholarships for doctoral students available! We will select two excellent doctoral student candidates to receive scholarships from the DAAD as part of the Graduate School Scholarship Program (GSSP). * The scholarships begin in October 2026 à 1,300€/ month, for up to a maximum of 4 years, * In addition to the scholarship, health insurance, accident insurance, and liability insurance will be covered by the DAAD, * Scholarship recipients can also receive assistance for their rent payments, * Scholarship recipients with families may receive additional funding, * Scholarship recipients will have access to a country-specific travel budget from the DAAD, * Scholarship recipients will have access to additional Study and Research grants, * Can have German courses financed by the DAAD. To be eligible for the GSSP scholarships, the student must: * Have an excellent academic profile and must have completed their master's (or equivalent) by the start of the funding period (October 2026), * Can not have completed their master's (or equivalent) more than 6 years ago, * At the time of application (March 2026), can not have been a resident in Germany for more than 15 months, * Can not already have a PhD, * Can not perform more than 25% of their doctoral work outside of Germany, and external work can not take place at the start of the doctoral project. To be awarded the GSSP scholarship, the student must: 1. Apply to the BCCN PhD program -->*Application deadline March 15th 2026!* 2. A member of the BCCN Berlin must agree to supervise and accept the student to their group for the duration of their PhD. 3. A project proposal outlining the general goals of the doctoral project must have been agreed upon by the student and the BCCN Berlin supervisor by the application deadline. For more information on how to apply to the International Doctoral Program Computational Neuroscience of the BCCN Berlin, please see our website: https://www.bccn-berlin.de/doctoral-program-application.html Finally, we organize an Information session about our graduate programs which will take place in January 2026: https://www.bccn-berlin.de/events-list/information-day-2026-international-g… Please share this information with anyone who may be interested. Best regards, Lisa Velenosi -- Dr. Lisa Velenosi Teaching Coordinator of the SFB1315 & BCCN Berlin Humboldt-Universität zu Berlin Philippstraße 13, Haus 6; 10115 Berlin; Germany Tel: +49 (0)30 2093-98503

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CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex
by Simon Bowes Oct. 14, 2025

Oct. 14, 2025

CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex (DEADLINE: November 30, 2025) Contact: Simon Bowes (S.C.Bowes(a)sussex.ac.uk<mailto:S.C.Bowes@sussex.ac.uk>) AISB 2026 will be held at the University of Sussex on the 1st-2nd July. For more information on the convention please see the website at https://aisb.org.uk/. Keynote Speaker: Anil Seth The AISB 2026 convention will follow the same overall structure as previous conventions, namely a set of co-located symposia, and we are seeking proposals for these symposia. Typical symposia last for one or two days, and can include any type of event of academic benefit: talks, posters, panels, discussions, demonstrations, outreach sessions, etc. Proposals for Symposia are welcomed in all areas of AI and cognitive science. Some suggested areas are shown below, although any proposal in the field of AI or cognitive science will be welcomed: · AI in Education · Agency & AI · Art & AI · Cognitive & Computational Neuroscience · Computational theory of mind · Computational Intelligence · Consciousness · Embodiment and AI · Ethics of AI · Human and Machine Creativity · Hybrid Human-AI · Knowledge Representation · Machine Learning · Robotics · Bio-inspired approaches. · Simulation of Human and Animal Behaviour · The Turing Test and Philosophical Foundations of AI -------------------------------------------------------------------------------- Proposing a Symposium Each symposium is organized by its own programme committee. The committee proposes the symposium, defines the area(s) and structure for it, issues calls for abstracts/papers etc., manages the process of selecting submitted papers for inclusion, and compiles an electronic file for inclusion in the convention proceedings. Proposers are welcome to submit or be involved with more than one proposal. Proposers need not already be members the AISB and will not be required to become members. They will of course be encouraged to join! Deadline for symposium proposals: 30th November 2025 Notification of acceptance: 15th December 2025 -------------------------------------------------------------------------------- Submissions should consist of the following - A title. - A 300–1000-word description of the scope of the symposium, and its relevance to the convention along with the nature of the academic events (talks, posters, panels, demonstrations, etc.). - Whether the symposium is intended as a sequel to a symposium at a previous AISB conference. - An indication of whether submissions will be by abstract, extended abstract, or full paper. - Your preferences about the intended length of the symposium as a number of days (half a day, one day or two days), together with a brief justification. - A description (up to 500 words) of any experience you have in organization of academic research meetings (please note that it is not a requirement that you have such experience). - Names and affiliations of any invited speakers that you may have in mind for the symposium. - Your names and full contact details, together with, if possible, names and workplaces of the members of a preliminary, partial programme committee. - Please e-mail your completed proposal to Simon Bowes: S.C.Bowes(a)sussex.ac.uk<mailto:S.C.Bowes@sussex.ac.uk>

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AAAI 2026 workshop "Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence"
by Anton Arkhipov Oct. 14, 2025

Oct. 14, 2025

Dear Colleagues, Join us for the Workshop “Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence” at the AAAI 2026 conference in Singapore on January 27, 2026. We are bringing together researchers in neuroscience and AI to explore how brain principles can inspire multimodal models, and how AI can push the frontiers of neuroscience. Please see details below and at https://neuroai-multimodal-workshop.github.io/. We invite submissions of full papers or abstracts that describe new research, work in progress, or position statements on relevant topics. The full paper submissions should be 8 pages maximum, excluding references, and the abstract submissions should be 2 pages maximum, excluding references, in the AAAI two-column format. Please submit your work by October 30, 2025 at https://openreview.net/group?id=AAAI.org/2026/Workshop/NeuroAI. Invited speakers include * Dmitri "Mitya" Chklovskii (Flatiron Institute, NYU) * Andreas Tolias (Stanford University) * Martin Schrimpf (EPFL) * Guozhang Chen (Peking University) * Adeel Razi (Monash University) * Mike Zheng Shou (National University of Singapore) Organizing Committee: * Reza Abbasi-Asl, University of California, San Francisco * Asim Iqbal, Tibbling Technologies / Weill Cornell Medicine * Sophia Sanborn, Stanford University * Shinya Ito, Allen Institute * Anton Arkhipov, Allen Institute Description of workshop: This workshop will unite researchers in artificial intelligence, computational neuroscience, and neuromorphic engineering to explore the critical two-way exchange between biology and machine learning. Our main objective is to bridge these fields to accelerate foundational progress in multimodal natural intelligence. The “Neuro → AI” theme will investigate how principles from cortical microcircuits, such as sparse coding, dendritic nonlinearities, and cell-type diversity, can inspire novel, efficient, and robust AI architectures like transformers and graph-based models. Conversely, the “AI → Neuro” theme will showcase how advanced machine-learning techniques are revolutionizing neuroscience, enabling new insights into neural dynamics through AI-driven analysis of large-scale imaging, electrophysiological, and behavioral data. By bridging the gap between biologically grounded inductive biases for AI and scalable computational tools for neuroscience, this workshop aims to catalyze research that unifies theory, experiment, and application. Topics: * Biologically inspired machine learning architectures * Neuro-inspired mechanisms for efficiency (e.g., sparsity, inhibitory-excitatory balance) * AI-driven analysis of large-scale neuroscience data * Unsupervised representation learning and causal inference for circuit discovery * Gradient descent-based training of bio-realistic neural models * Open-source software and reproducible research in NeuroAI * Neuromorphic engineering and hardware implementation Format of Workshop: This will be a one-day, in-person workshop. The format is designed to be highly interactive, featuring a series of invited talks from world-renowned experts, two panel discussions for in-depth Q&A, and spotlight presentations for high-impact contributed papers. A central poster session will provide a forum for detailed discussion and networking. The day will conclude with a roundtable discussion to identify key community challenges and a sponsored social gathering to foster continued collaboration. Attendance: We welcome researchers and practitioners from academia and industry with an interest in the intersection of neuroscience and artificial intelligence. At least one author of each accepted submission must be present at the workshop. The maximum number of attendees is to be determined by the room size and will be communicated by AAAI. Please reach out if you have any questions. We look forward to seeing you in Singapore! Best regards, Reza Abbasi-Asl, Asim Iqbal, Sophia Sanborn, Shinya Ito, and Anton Arkhipov. Anton Arkhipov Investigator, Allen Institute antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org> brain-map.org<https://portal.brain-map.org/>

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Open Rank Faculty Position in Artificial Intelligence in Psychological Science
by Stacie Warren Oct. 13, 2025

Oct. 13, 2025

*Open Rank Faculty Position in **Artificial Intelligence in Psychological Science* *Position Description* The Department of Psychology in the School of Behavioral and Brain Sciences (BBS) at The University of Texas at Dallas (UT Dallas) is accepting applications for a tenure system position for a faculty member whose work interfaces with artificial intelligence (AI). Candidates with postdoctoral training or equivalent research experience are preferred, especially those who have led or contributed to multidisciplinary teams bridging psychology with computer/data science. We welcome profiles spanning: (a) ML/AI as advanced statistics; (b) core AI/generative technologies; and (c) computational social science. Strongest consideration may be given to applicants who apply modern AI pipelines and tooling to substantive psychological questions. Evidence of an emerging or established record of high-impact publications; experience building reproducible, well-documented code and analyses; and potential (or success) for extramural funding are highly valued. Ideal candidates can connect AI methods to psychological theory (e.g., cognitive modeling, language and social behavior, clinical assessment, developmental science), teach AI-in-Psychology courses effectively, and mentor students from a range of backgrounds. Preference will be given to applicants who demonstrate responsible/ethical AI practices, open science commitments, and a collaborative approach that enhances BBS research centers and cross-school partnerships. Candidates at all levels will be considered. Teaching responsibilities could include undergraduate and graduate level courses in artificial intelligence in psychology, cognitive science, and/or courses in the applicant’s area of expertise, as well as mentoring of doctoral, master’s-level, and undergraduate students. The appointment commences for the fall 2026 semester. *Qualifications* Minimum Education and Experience: A PhD or equivalent in Psychology, Cognitive Science, or a related discipline is required prior to appointment. Candidates are expected to demonstrate the ability to work effectively in a highly collaborative, engaging, and dynamic environment comprised of individuals with a range of backgrounds, skills, and perspectives. We are seeking candidates able to produce research and scholarly or creative achievements that enhance the program and the discipline, and able to deliver high quality teaching using evidence-based practices to effectively engage students from a range of backgrounds and experiences. Candidates are expected to demonstrate clear potential for (at the Assistant Professor rank), or an existing track record of, obtaining and maintaining extramural research funding. *UT Dallas School of Behavioral and Brain Sciences and the Department of Psychology* The University of Texas at Dallas is a Carnegie R1 Research Institution and is among the fastest growing universities in the nation. The School of Behavioral and Brain Sciences (BBS) is one of seven schools at UT Dallas and ranked 2nd in total new research grants and research expenditures over the past year. Within its walls, the School of Behavioral and Brain Sciences (BBS) stands uniquely positioned to advance knowledge and improve lives through the efforts of its 111 faculty and 3,000 students. In North Texas, BBS serves as a trailblazer where research, education, and clinical training come together to prepare future leaders. It is home to world-class faculty with work ranging from bench-top to bedside studies, and ample resources and opportunities for students and faculty alike. In the past year, BBS was recognized by the BlueRidge Institute for being #1 in Texas and #3 in the United States for NIH funding for schools of its type. Within BBS, faculty members are surrounded by colleagues who interface with science and technology at every level of translation – with a keen focus on using our science to impact the health and well-being of people around the world while training the scientific leaders of tomorrow. Collectively, BBS leads UT Dallas in R&D rate and new awards per faculty member as well as many student success metrics across the university. The Department of Psychology is one of three departments within the School of Behavioral and Brain Sciences. The department houses 44 faculty and has almost 1,400 students. The Department of Psychology was responsible for over $12 million in new extramural grants in the past year and is home to a large number of multi-grant funded faculty members. The department has a distinguished legacy of world class research across cognitive neuroscience and developmental science. It also houses multiple pioneering AI-engaged faculty innovating in the fields of cognitive science and human-computer interface research. The Department has a rich history of housing well-known research centers that lead their respective fields around the globe. For example, psychology faculty are active participants in several BBS affiliated research centers at UT Dallas including the Center for BrainHealth, Center for Vital Longevity, and Center for Children and Families, with multiple centers led by Psychology faculty. The Department of Psychology is home to the BS in Psychology, BS in Cognitive Science, and BS in Child Learning and Development. It is also home to the MS in Psychology, the MS in Human Development and Childhood Disorders, and the PhD in Psychology. It also shares degree programs with the Department of Neuroscience for the MS in Applied Cognition and Neuroscience and the PhD in Cognition and Neuroscience. The BS in Psychology represents the 7th most popular undergraduate major at UT Dallas. In fall 2026, we will enroll our first cohort of Clinical Psychological Science PhD students along with the opening of our Psychological Sciences and Education Center in summer 2026. *Application Instructions* Applicants should upload the following via the online application <https://jobs.utdallas.edu/postings/30422>: · Full curriculum vitae and cover letter summarizing their interests and qualifications for the position. · Statement of teaching philosophy describing their conceptualizations of teaching and learning, and teaching and assessment methods, and how their teaching practices will engage students from a range of backgrounds and experiences. · Research statement describing past, present, and future research, including how they mentor (or will mentor) student researchers and foster (or will foster) collaborative research environments. · Full contact information for at least three academic or professional references. Priority will be given to completed applications received by *December 1, 2025*. Reviews will continue until the position is filled or the search is closed on March 1, 2026. *The University and Community * UT Dallas is a top public research university located in one of the nation’s fastest-growing metropolitan regions. Our seven schools offer more than 140 undergraduate and graduate programs, plus professional certificates and fast-track programs. Our student body is approximately 30,000 strong, reflecting students from over 100 countries and a multiplicity of perspectives and experiences. Over 65% of our undergraduate students receive some form of need- or merit-based financial aid; and 66% of graduating seniors have no student debt compared to 48% in Texas and 32% in the nation (2021 TICAS report). UT Dallas is committed to graduating well-rounded members of the community whose education has prepared them for rewarding lives and productive careers in a constantly changing world. Our mission centers on providing Texas and the nation with excellent and innovative education and research. The University’s rapid growth is fueled by our creative and enterprising spirt, bright students, innovative programs, renowned faculty, dedicated staff, engaged alumni, and research that matters. The University promotes a welcoming environment through programs and initiatives designed to support engagement and success for members of the campus community. Employee benefits include a range of physical and mental wellness resources, competitive insurance and retirement plan options, lactation facilities located throughout the campus, and Employee Resource Groups (ERGs) comprised of individuals who share common interests to help build community among UT Dallas faculty and staff (e.g., Universal Access ERG, Military and Veteran ERG, UT Dallas Young Professionals). Additionally, the University’s modern campus, 400+ campus organizations, and prime location foster collaboration and community. Situated in Richardson, Texas, the University’s location offers abundant professional development and entertainment options. The Dallas-Fort Worth (DFW) metroplex is rich with visual and performing arts venues, museum districts, professional and semi-professional athletics teams, botanical gardens, accessible trails, and much more, ensuring there’s something for everyone. The University’s partnerships with regional higher education institutions, local school districts, numerous companies, and the Richardson Innovation Quarter <https://richardsoniq.com/> (Richardson IQ) – a major hub for innovation, entrepreneurship, and educational activities – promotes collaboration, professional growth, and educational excellence. *Equal Employment Opportunity * The University of Texas at Dallas is committed to providing an educational, living and working environment that is welcoming, respectful, and inclusive of all members of the university community. The University prohibits unlawful discrimination <https://policy.utdallas.edu/utdbp3090> against a person because of their race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, or veteran status. -- Stacie L. Warren, Ph.D. Associate Professor Department of Psychology School of Behavioral and Brain Sciences The University of Texas at Dallas 800 West Campbell Road, GR 41 Richardson, TX 75080 Phone: (972) 883-3818 E-mail: stacie.warren(a)utdallas.edu <sholub(a)utdallas.edu>

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Opening: Assistant Professor in Computational Neuroscience at the University of Cincinnati
by vanderdt＠ucmail.uc.edu Oct. 13, 2025

Oct. 13, 2025

The Department of Biological Sciences at the University of Cincinnati invites applications for a tenure-track Assistant Professor in Computational Neuroscience. We seek candidates working in areas including (but not limited to): • neural circuit modeling & theoretical analysis • sensory systems and their computations • computational methods & algorithm development • integration of robotics, ML/AI, big data, behavior & neural data The successful applicant will establish an externally funded research program, teach at undergraduate/graduate levels, and supervise students. Collaborations across neuroscience, engineering, computer science, cognition, and medicine are strongly supported. Review of applications begins December 1, 2025; application details are available online. More info / Apply: https://jobs.uc.edu/job/Cincinnati-Assistant-Professor%2C-Biological-Scienc… Inquiries may be directed to Dr. Stephanie Rollmann, stephanie.rollmann(a)uc.edu

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3 Faculty Positions open at UAlbany - Deadline Oct 31! - Please circulate!
by Annalisa Scimemi Oct. 13, 2025

Oct. 13, 2025

💥 Job Alert! 📢 We’re hiring an ***Assistant Professor in Behavioral Neuroscience***. Come be my neighbor and join our amazing community. Apply quickly before the deadline sneaks up! HERE <https://t.co/z2oryPK8GI> 💥 Job Alert! 📢 We’re hiring an ***Assistant Professor in Quantitative Systems Neuroscience***. Come be my neighbor and join our amazing community. Apply quickly before the deadline sneaks up! HERE <https://t.co/TFkXnx1LCs> 💥 Job Alert! 📢 We’re hiring an ***Assistant Professor in Computational Cognitive Neuroscience***. Come be my neighbor and join our amazing community. Apply quickly before the deadline sneaks up! HERE <https://t.co/RgQjeabw0H> -- *Annalisa Scimemi, PhD* Associate Professor, Department of Biology, SUNY Albany Adjunct Professor, Department of Physics, SUNY Albany President, Society for Neuroscience Hudson-Berkshire Chapter <https://sites.google.com/site/sfnhudsonberkshire/home> Instructor, Ion Channels in Synaptic and Neural Circuit Physiology <https://meetings.cshl.edu/courses.aspx?course=c-ion>, CSHL Mail. 1400 Washington Ave (Bio 329) - Albany, NY 12222 (USA) Tel. +1-518-442-4367 (Office) / +1-518-442-4580 (Lab) Fax. +1-518-442-4767 Email. scimemia(a)gmail.com / ascimemi(a)albany.edu SUNY webpage <https://www.albany.edu/biology/faculty/annalisa-scimemi> / Google webpage <https://sites.google.com/site/scimemilab2013/> / Blog webpage <https://neurovoice.blogspot.com/> / My Zoom <https://albany.zoom.us/my/ascimemi>

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University College London NeuroAI Annual Conference - 5th Nov - in person and online
by Padraig Gleeson Oct. 13, 2025

Oct. 13, 2025

Dear Colleagues, The 6th annual UCL NeuroAI Conference will take place on Wednesday 5 November 2025 at UCL Great Ormond Street Institute of Child Health in London. The event features 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. Leena Chennuru Vankadara (Gatsby Computational Neuroscience Unit, UCL) Netta Cohen (University of Leeds) Nathaniel Daw (Princeton University) Quentin Huys (Institute of Neurology, UCL) Kenneth Harris (Institute of Neurology, UCL) Armin Lak (University of Oxford) All information including how to register can be found here <https://www.ucl.ac.uk/research/domains/neuroscience/ucl-neuroai>. Spaces are limited so we recommend booking asap to avoid disappointment. Registration fee for the conference is £5. If you are unable to pay for any reason, please contact neuroaievents(a)ucl.ac.uk. *Poster and lightning talks - Submissions are now open!* This year we will also be accepting abstract submissions for posters or a short lightning presentation as part of the event. The deadline to submit your abstract (200 words) is *Wednesday 15th October, 12pm*. Further details regarding the poster and lighting talks can be found here <https://www.ucl.ac.uk/research/domains/neuroscience/ucl-neuroai>. *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. *Sponsorship* We are immensely grateful for the support from the Sainsbury Wellcome Centre <https://www.sainsburywellcome.org/web/>, the Crick Partner Networking Fund <https://www.crick.ac.uk/research/research-partnerships/university-partnersh…> and AIBIO-UK <https://aibio.ac.uk/>. We look forward to seeing you there.

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What can you do with 1000 neurons? Task 2
by Nicolas P. Rougier (inria) Oct. 13, 2025

Oct. 13, 2025

Dear all, The first task (simple decision) has been solved by a number of participants. Most of the models were able to survive in the proposed environment for quite a long time, and one entry used the optimal decision strategy, with only 22 neurons (out of 1000 available). The challenge is still running with a new task (cued decision, which might be simpler) and a new agenda (you have two months). You'll find instructions at https://github.com/rougier/braincraft the rules for the new task. Reminder: you have have 1000 neurons (leaky rate models), 100 seconds of training time and 10 runs for evaluation. The difficulty comes from the imposed constraints. You have to 2 months to propose your model. Best, Nicolas Rougier. -- Nicolas P. Rougier —— www.labri.fr/perso/nrougier Institute of Neurodegenerative Diseases, Bordeaux

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Abstract submission open for the UK Neural Computation meeting July 9-11, Imperial College London
by Mark Humphries Oct. 13, 2025

Oct. 13, 2025

Abstract submission is now open for the UK Neural Computation meeting 2025 at Imperial College on 9-11th July 2025. Submit here: https://forms.gle/kg5xaSfBX3sN7tUN9 Deadline of 12th May 2025 4 submitted abstracts will be selected for main meeting talks. Please spread the word! Conference information: https://neuralcomputation.uk/ Sponsors: ARIA Scalable Neural Interfaces program<https://www.aria.org.uk/opportunity-spaces/scalable-neural-interfaces> Francis Crick Institute<https://www.crick.ac.uk/> Organisers: Danyal Akarca (Imperial) Dan Goodman (Imperial) Mark Humphries (Nottingham) Professor Mark Humphries | Professor of Computational Neuroscience Lab: humphries-lab.org<https://www.humphries-lab.org/> Connect: Bluesky<https://bsky.app/profile/markdhumphries.bsky.social> / LinkedIn<https://www.linkedin.com/in/mark-humphries-65a460212/> / X<https://x.com/markdhumphries> Essays on the brain and science: drmdhumphries.medium.com<https://drmdhumphries.medium.com/> Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) in hardback<https://press.princeton.edu/books/hardcover/9780691195889/the-spike?_gl=1*h…..>, paperback<https://press.princeton.edu/books/paperback/9780691241487/the-spike>, ebook<https://press.princeton.edu/books/ebook/9780691213514/the-spike-0?_gl=1*1uf…..> & audiobook<https://press.princeton.edu/books/audio/9780691224091/the-spike?_gl=1*37xz7…..> <https://press.princeton.edu/books/audio/9780691224091/the-spike?_gl=1*37xz7…..> read by Anand Jagatia This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Denis Mareschal speaking on Thursday, October 16 in Developing Minds global online lecture series
by Jochen Triesch Oct. 13, 2025

Oct. 13, 2025

Dear colleagues, On October 16, the Developing Minds global online lecture series is proud to host Denis Mareschal from Birkbeck College London, UK, speaking on: "The challenges and rewards of pursuing real-word Developmental Science“. Thursday, October 16, 2025: 10:00 am EST (Eastern Standard Time, US) 15:00 UTC (Universal Coordinated Time) 16:00 CET (Central European Time) 23:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/67246871085?pwd=4s1XHEOL4tihLhbbqVwprgBih… Meeting-ID: 672 4687 1085 Kenncode: 745870 Abstract: Historically, the understanding of the brain-based mechanisms of learning in young children has relied on well-controlled lab-based experiments. This was for good scientific reasons. First, there was a drive to isolate individual causes of behaviours and therefore to carefully control the environments in which children behaved during a study. Moreover, the equipment required to assess the neural correlates of behaviours were cumbersome and difficult to move so children's mobility had to be restricted. Recent developments in wearable and wifi-enhanced technologies have now allowed us to literally "untether" children and explore their brain and behaviour as they move around and interact naturally. This has opened new avenues for research, but has equally revealed important new challenges to the way that we approach developmental sciences. In this seminar, I will draw on my lab's recent work on children's sensory cue integration, neural synchrony during children's collaborative problem solving and the trials and tribulations of translating basic cognitive neuroscience research into real-world effective classroom interventions to highlight some of the challenges that contemporary developmental sciences faces. Short Bio: Professor Denis Mareschal is Director of the Centre for Brain and Cognitive Development, at Birkbeck University of London, and a founding member of the Centre for Educational Neuroscience. After completing a BA in Natural Science at Cambridge, he moved on to studying learning -- initially in the form of an MA in Psychology and Artificial Intelligence at McGill in Montreal, Canada and then through completing a DPhil in Psychology at Oxford. Professor Mareschal's research has focussed on identifying the mechanisms of learning and development in infancy and childhood through the combined use of behavioural studies, computational modelling and neuroimaging. He has received a number of awards for his work, including the Marr Prize from the Cognitive Science Society, the Young Investigator Award from the International Congress on Infant Studies and the Margaret Donaldson Prize from the BPS Developmental Section. Over the last 10 years he has led the UnLocke project (Unlocke.org) developing a neuroscience-based primary school maths and science education intervention. He is committed to taking neuroscience out of the lab and into the real-world, in terms of primary research and in terms of translational impact. 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 http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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5th Applied Active Inference Symposium - November 12-14, 2025
by Zohreh Rahmannejad Oct. 11, 2025

Oct. 11, 2025

Dear Colleagues, (Apologies for any cross-posting.) Join us for an exciting exploration of Active Inference applied across various systems. The theme of the Symposium is “Industry” and will feature a Keynote session with Karl Friston. This free, online event will consist of livestreams, pre-recorded videos, and interactive sessions. 📣 Presenters and Workshop facilitators (alphabetical): Andrea Hiott, Andrew Pashea, Bart van Erp, Bradly Alicea, Chris Fields, Daniel Friedman, Denise Holt, Ian Tennant, Jean-Francois Cloutier, Karl Friston, Maria Luiza Iennaco, Matthew Brown, Nicolas Hinrichs, Octopus, Samuel Montanez, PabloFM, Peter Thestrup Waade, Robert Worden, Sam A Senchal, Shanna Dobson, Sonia de Jager, and more to come! See full Program for all details. 🎯 Highlights: 1. Broad range of projects across 20+ presenters, ranging from sustainability and urban planning to biologically plausible decision-making models 2. Interactive workshops and panels, including a session on open-source strategies 3. Connecting with useful materials (educational, code, etc) and people who are learning and applying Active Inference 🔔 Register now to stay updated on additional interactive events and workshops being added over the next month! 🖥️ Registration link: https://lnkd.in/dVsTMY7Q 🌐 More information: https://lnkd.in/dVKdFSz9 Symposium co-organizers: Alexander Ororbia, Alexandra Mikhailova, Andrew Pashea, Bradly Alicea, Christian Martens, Cory Slater, Daniel Friedman, Marc Broberg, Maria Garcia, Maria Luiza Iennaco, PabloFM, Rorik Smith, Sylvia Zhang, Bleu Knight, Zohreh Rahmannejad, Alex Vyatkin

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Technical assistant position in neuroscience at LMU Munich
by Anna Schroeder Oct. 10, 2025

Oct. 10, 2025

*Description of the Schroeder Lab* The newly established group of Prof. Dr. Anna Schroeder at LMU Munich is seeking an excellent candidate for a *technical assistant (full-time)* position in *neuroscience*. The position is initially offered on a 2-year fixed-term basis with the possibility of extension. For more information, visit www.annaschroederlab.com. Our lab investigates the neural circuits underlying emotions, motivations, and physiological needs, focusing on how these internal states shape behavior in dynamic environments. Specifically, we study the subthalamic circuits of the zona incerta, an enigmatic brain region that integrates internal states, external sensory cues, and past experiences to adapt behavior flexibly. To dissect the *neural circuit mechanisms driving behavior*, we employ cutting-edge methodologies including: * /In vivo/calcium imaging with 2-photon microscopy or Miniscopes * Whole-cell patch-clamp electrophysiology * Single-cell RNA sequencing * Optogenetics * Chemogenetics * Viral circuit tracing * State-driven behavioral paradigms * Transgenic mouse models * Advanced machine learning techniques Our ultimate goal is to advance understanding of brain function and develop novel therapeutic strategies for psychiatric disorders through neuromodulation. Prof. Dr. Schroeder is deeply committed to training, mentorship and career development for lab members. The lab offers state-of-the-art neuroscience in a very supportive environment. ** *Your tasks and responsibilities* Participation in the preparation and implementation of research and teaching, as well as the organization of laboratory processes: * Conduct DNA/RNA sequencing and genotyping * Manage and plan mouse colonies * Perform histology, immunostaining and microscopic data analysis * Plan, order and maintain lab equipment and supplies; train new users * Prepare solutions and handle general lab upkeep (waste, autoclaving, glassware) * Manage documentation (genetic engineering, virus/S1, work safety, invoices) * Support student internships and ongoing research projects * Help foster an inclusive, hardworking and supportive lab environment ** *Eligibility requirements * Candidates must meet the following criteria: * Completed vocational training and state recognition as a Biological Technical Assistant (BTA) or a completed Bachelor of Science or equivalent * Proficiency in written and spoken English * Ability to work independently and structure workflows effectively * Strong motivation, attention to detail, and a positive, proactive attitude * Organizational skills, reliability and diligence * Willingness to engage in continuous professional development * Enjoyment of working in an international, research-based environment * Effective communication and teamwork skills Beneficial qualifications: * Experience in managing mouse lines, DNA/RNA sequencing and histology * Proficiency in written and spoken German * Knowledge of neurobiology and cell biology *What we offer* Our lab is located at the LMU Biocenter on the high-tech campus in Martinsried. We offer an interesting and responsible position with excellent training and development opportunities: * The *best environment for neuroscience in Germany*: o LMU Munich is often ranked as the best university <https://www.shanghairanking.com/rankings/arwu/2025> in Germany and is consistently ranked among the top 50 universities worldwide, <https://www.timeshighereducation.com/world-university-rankings/lmu-munich> both overall and for life sciences specifically o According to the Nature Index <https://www.nature.com/nature-index/supplements/nature-index-2024-neuroscie…>, LMU Munich is the top academic institution in Germany for neuroscience * *Advanced neuroscience research*with cutting-edge tools in state-of-the-art facilities * *Collaborative and inclusive environment*, including partnerships with leading local institutions (e.g., Max Planck Institutes, DZNE, Helmholtz Institutes, TU Munich) all connected via the Munich Center for Neurosciences * *Mentorship and career development**support* from Prof. Dr. Schroeder, a young and highly motivated PI who is genuinely invested in the success of her team members * Opportunity to live in *Munich*, a vibrant, international city near lakes and mountains with one of the world's strongest neuroscience communities and a very high quality of life <https://www.mercer.com/en-be/insights/total-rewards/talent-mobility-insight…> * Remuneration according to the collective agreement for the public service of the federal states (TV-L) in _E9_ * Various LMU corporate benefits <https://www.lmu.de/en/about-lmu/working-at-lmu/additional-services/corporat…> *How to apply* Applications *must provide the following *and can be sent to *Prof. Dr. Schroeder *by email at*anna.schroeder(a)bio.lmu.de *(one PDF file, maximum 5 MB): * Cover letter detailing prior training and/or research experience and why you’d like to join the Schroeder lab * CV * Names and contact details for 1-2 referees The application deadline is *November 15, 2025*. The position can start as soon as possible.

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Call for Abstract and Register Now: EBRAINS Student Conference on Interdisciplinary Brain Research 2026
by Alper Yegenoglu Oct. 10, 2025

Oct. 10, 2025

Dearall, We’re excited to announce the*1st EBRAINS Student Conference on Interdisciplinary Brain Research*, taking place*11–13 March 2026*in*Nice, France*, at the historic*Château de Valrose*(Université Côte d’Azur). Organised by the EBRAINS Education Programme and Student Ambassadors, this conference provides a unique platform for*early-career researchers*across fields,from*neuroscience, computer science, psychology, medicine,***and more,to exchange ideas, present their work, and connect with peers and mentors in an open, collaborative environment. The programmeincludes: ·Scientific sessions with contributed talks and posters ·Keynote lectures and panel discussions ·Hands-on workshops and training sessionson EBRAINS tools ·Social and networking activities in the heart of the French Riviera *Abstract submission is open!* *Deadline:****20****October 2025* We welcome submissions of both theoretical and empirical work, including preliminary research and emerging ideas. Submityour abstract here:https://easychair.org/cfp/EBRAINSC26 <https://easychair.org/cfp/EBRAINSC26> *Registration****is now****open!* Student and early-bird discountsareavailable. Full details and updates:https://www.ebrains.eu/news-and-events/student-conference-2026 <https://www.ebrains.eu/news-and-events/student-conference-2026> We hope to see you in Nice for an inspiring exchange of ideas and perspectives in brain research! Best regards, Alper Yegenoglu On the behalf of the EBRAINS Education Programme and Student Ambassadors

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Postdoc Position in Pediatrics
by Srinivas Kota Oct. 10, 2025

Oct. 10, 2025

A postdoctoral position is available in the Department of Pediatrics, Division of Neonatal–Perinatal Medicine at UT Southwestern Medical Center. The research focuses on developing artificial intelligence–based biomarkers from physiological signals to assess brain injury severity in newborns with hypoxic-ischemic encephalopathy (HIE). https://www.utsouthwestern.edu/research/postdoctoral-scholars/assets/biomed… -- Srinivas Kota, PhD, MSCI Email: svkota(a)gmail.com Ph: (618) 319-0471 (cell) https://www.linkedin.com/in/drsrinivaskota <https://www.linkedin.com/in/srinivas-kota-ph-d-8a32568>

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Tenure-track assistant professor in computational neuroscience and/or cognition
by Haefner, Ralf Oct. 9, 2025

Oct. 9, 2025

Tenure-track assistant professor in computational neuroscience and/or cognition The Department of Brain and Cognitive Sciences at the University of Rochester invites applications from outstanding early-career candidates in Computational Neuroscience and Cognition for a tenure-track assistant professorship. This position is part of a new cluster of faculty positions in Mathematics, Physics, Biology, and the Brain and Cognitive Sciences supported by the Simons Foundation. We seek to hire scholars who develop computational theories and models to deepen our understanding of the brain in real-world, complex, or naturalistic contexts, or to understand collective decision-making and communication in groups of individuals. Researchers who develop and test computational models across levels of representations (from the brain to the mind) are particularly welcome to apply. The department’s research in this area utilizes large-scale, high-resolution electrophysiology and neuroimaging of both individuals and groups, state-of-the-art augmented and virtual reality, and a wide range of methods to study behavior from active information seeking in the fovea, to interactive, naturalistic communication and the transmission of complex information across individuals, as well as the joint learning and coordination of group behavior and collective decision-making. Successful candidates are expected to develop a highly competitive research program that establishes collaborations within the department, especially within our cluster of cutting-edge experimentalists studying neural systems and behavior in naturalistic settings. Our department is vibrant and highly interdisciplinary, with strong ties to other departments across engineering, the arts and sciences, and the medical campus (incl. Neuroscience, Neurosurgery, Computer Science, Physics, Biology, Biomedical Engineering, Linguistics, the Eastman School of Music, and the Goergen Institute for Data Science and Artificial Intelligence). The City of Rochester, NY is a diverse, LGBTQ+ friendly, and family-friendly community located on Lake Ontario adjacent to the Finger Lakes region with a metropolitan population of 1+ million. Rochester also boasts a thriving arts and music culture, substantial employment opportunities in various sectors, affordable housing, a rich history of social justice, and easy access to urban, suburban, and rural neighborhoods. Questions concerning this position can be addressed to Prof. Florian Jaeger (fjaeger(a)ur.rochester.edu <mailto:fjaeger@ur.rochester.edu>), chair of the search committee, or Prof. Dora Biro (dbiro(a)ur.rochester.edu <mailto:dbiro@ur.rochester.edu>), chair of the Department of Brain and Cognitive Sciences. For more information about the department, see http://www.bcs.rochester.edu/. Qualifications Applicants should have an outstanding record of research and a commitment to teaching and mentorship at the graduate and undergraduate levels. They should hold a PhD degree (or equivalent) in a relevant domain. Where to apply https://apply.interfolio.com/173951 When to apply While applications after the deadline may be considered, for full consideration, applicants should complete their application before November 1, 2025. Equal Employment Opportunity Statement EOE, including disability/protected veterans The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Classes). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates for all persons consistent with our values and based on applicable law.

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Call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026.
by Auke Ijspeert Oct. 8, 2025

Oct. 8, 2025

Call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026. Dear computational neuroscientists, We are happy to announce the *Gordon Research Conference (GRC) in Robotics *that will take place in Ventura (USA), January 11-16 2026. We have a great list of speakers and discussion leaders (see below and the website). The schedule has been published, and a call for participation and for posters in now open, see https://www.grc.org/robotics-conference/2026/ *Please apply early, as the total number of participants is limited*. Note also the Robotics Gordon Research Seminar (GRS) that takes place just before (Jan 10-11) and that provides a unique forum for young doctoral and post-doctoral researchers to present their work, https://www.grc.org/robotics-grs-conference/2026/. This year’s conference will focus on *adaptive behavior and learning in animals and robots*. We will explore how biological inspiration drives advancements in robotics, from simple reactive behaviors to complex planning and learning systems. Insights from biomechanics, neuroscience, and animal studies are increasingly shaping the design and control of robots, making them more robust and adaptable. A key focus will be on *embodied intelligence, enabling robots to excel in locomotion, manipulation, and interactions with other agents*. Conversely, robotics research is also contributing to biology. Studies of perception and action in robotic systems are leading to new mathematical models that help integrative biologists understand locomotion, manipulation, and collective behavior in animals. By *bringing together experts from robotics, biomechanics, and neuroscience*, this conference aims to foster cross-disciplinary insights that will push the boundaries of both fields. Join us for a dynamic exchange of ideas at the intersection of robotics and biology, where engineering meets evolution. /The Robotics GRC is a premier, international scientific conference focused on advancing the frontiers of science through the presentation of cutting-edge and unpublished research, prioritizing time for discussion after each talk and fostering informal interactions among scientists of all career stages. The conference program includes an array of speakers and discussion leaders from institutions and organizations worldwide, concentrating on the latest developments in the field. The conference is five days long and held in a remote location to increase the sense of camaraderie and create scientific communities, with lasting collaborations and friendships. In addition to premier talks, the conference has designated time for poster sessions from individuals of all career stages, and afternoon free time and communal meals allow for informal networking opportunities with leaders in the field./ Best regards, Auke Ijspeert and Vijay Kumar, organizers./ / *Confirmed speakers:* Alin Albu-Schaeffer Nora Ayanian Spring Berman Oliver Brock Rod Brooks Bingni Brunton Henrik Christensen Kenji Doya Nadia Figeroa Josie Hughes Marco Hutter Monroe Kennedy Dan Koditschek Cecilia Laschi Yasemin Ozkan-Aydin Tony Prescott Amanda Prorok Daniela Rus Giulio Sandini Stefan Schaal Claire Tomlin Kotaro Yasui *Confirmed discussion leaders:* Josie Hughes Dan Koditschek Cecila Laschi Chen Li Barbara Mazzolai Yasemin Ozkan-Aydin Stefan Schaal Giulio Sandini Barry Trimmer -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert (he/him) Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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Deadline approaching for Neuronal Spike Timing: Precision, Reliability, and the Neural Code from 1995-2025
by Paul Tiesinga Oct. 8, 2025

Oct. 8, 2025

Dear Colleague In 1995 Mainen and Sejnowski published a striking result showing neurons in mammalian neocortex are capable of producing precise, reliable spike trains in response to fluctuating inputs. This work inspired sustained inquiry into the role of spike timing in sensory, motor and cognitive processes, including learning and memory, as well as theoretical investigations into neural coding, plasticity, and the mechanisms of precise spike timing. In recognition of the 30th anniversary of this seminal paper, Biological Cybernetics invites submissions to a special article collection on the topic “Neuronal Spike Timing: Precision, Reliability, and the Neural Code from 1995-2025.” Whether you have contributed to past research in this area and would like to write a retrospective review, or if you are actively pursuing new research building on spike timing, we encourage you to submit an article to this collection. The submission window was opened on May 1 2025, and will remain open for another 3 weeks until November 1, 2025. Full details of the call for submissions are available at https://link.springer.com/collections/aadfbhcbii. We look forward to receiving your submission. Please direct inquiries regarding scope and suitability to pjthomas(a)case.edu and p.tiesinga(a)science.ru.nl. Sincerely Peter Thomas, Case Western Reserve University Paul Tiesinga, Radboud University

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PracticalMEEG2025: A few seats left
by Anne-Sophie Dubarry Oct. 8, 2025

Oct. 8, 2025

Hi all, The next edition of PracticalMEEG will take place in Aix-en-Provence, from Oct. 27-31, and we’re almost at full capacity! This hands-on workshop brings together researchers from all over the World to practice advanced EEG and MEG analysis methods, exchange expertise, and promote open and reproducible neuroscience. If you haven’t registered yet, this is your last chance to secure your spot! REGISTER HERE <https://cuttingeeg.org/practicalmeeg2025/attendees/> Join us for an exciting and collaborative week of learning, sharing, and advancing MEEG science together! Best, AnneSo

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NITMB Postdoctoral Fellows: Call for Applications
by William L. Kath Oct. 7, 2025

Oct. 7, 2025

*NITMB is seeking early-career researchers who have 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. NITMB Fellows conduct independent research programs, in collaboration with NITMB faculty members or others outside the Institute, focused on developing new mathematics and statistics relevant to challenges in biology. This call is aimed at young scientists trained in mathematical, computational, and theoretical biology and related disciplines with exceptional research promise and with an interest in exploring new opportunities and challenges emerging from biological phenomena. Prior experience with biology is a plus but not required. The Fellows will be part of a large endeavor to build new bridges between mathematics, theory, and biological disciplines. Applicants will need to have completed a doctoral degree by September 1, 2026 in one of the following fields: Mathematical and Physical Sciences Biological Sciences Computer Science Engineering or related fields This three-year postdoctoral fellowship offers a competitive salary and a generous research budget. The goal of the fellowship is to empower an early-career scholar to define their research path with opportunities for collaboration with NITMB members. Appointments can start as early as April 1, 2026, but no later than January 1, 2027, and will be at the internal University rank of Postdoctoral Scholar. This position is open to individuals less than seven years post-attainment of their Ph.D. degree. *Benefits* Competitive salary Generous research and travel stipends Access to NITMB resources and both Northwestern and UChicago campuses A thriving intellectual community with mentorship from NITMB leadership and Faculty Members Offices located at the iconic John Hancock Center, 875 N Michigan Ave, in Chicago, IL Guaranteed acceptance to NITMB workshops No teaching obligations, allowing full dedication to groundbreaking research; teaching opportunities are available upon request Leadership options for NITMB activities and outreach programs *Application Materials* Upload the following documents to the submission portal at https://www.mathjobs.org/jobs/application/27042. Application review will begin on Nov. 1, 2025, and continue until all positions are filled. The formatting of all documents should be in 11-point font, single-spaced, with minimum 0.5 inch margins. Cover letter (1 page) Curriculum vitae (2-3 pages) Description of research interests to be pursued at the NITMB including potential NITMB collaborators (4-5 pages) List of publications and preprints (separate from CV) Three letters of recommendation from faculty members or senior research scientists who are active in the field of study in question *Further Info: *https://www.nitmb.org 875 N Michigan Ave Suite 4010 Chicago, IL 60611

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COSYNE 2026: Abstract submission closes soon; Travel grants
by Tomas Hromadka Oct. 7, 2025

Oct. 7, 2025

==================================================== Computational and Systems Neuroscience 2026 (Cosyne) MAIN MEETING 12 - 15 March 2026 Lisbon, Portugal WORKSHOPS 16 - 17 March 2026 Cascais, Portugal www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Abstract submission deadline: 16 October 2025, 11:59PM PST Workshop proposal submission is now open. Workshop proposal submission deadline: 23 October 2025, 11:59PM PST Travel grant applications are now open. *Undergraduate* travel grant application deadline: 12 November 2025, 11.59PM PST Other travel grants application deadline: late December 2025 ---------------------------------------------------- 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. ---------------------------------------------------- TRAVEL GRANTS ---------------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least EUR500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside Europe or having other declared needs. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see www.cosyne.org/travel-grants. ----------------------------------------------------- COSYNE 2026 COMMITTEES ----------------------------------------------------- ORGANIZING COMMITTEE General Chairs: Tatiana Engel (Princeton) and Kevin Franks (Duke) Program Chairs: Kimberly Stachenfeld (DeepMind) and Mark Histed (NIH) Workshop Chairs: N Alex Cayco Gajic (ENS) and Guillaume Lajoie (MILA/U Montreal) Tutorial Chairs: Eva Dyer (Georgia Tech) and Talmo Pereira (Salk) Mentorship and Networking Chairs: Denise Cai (Mount Sinai) and Luke Sjulson (Albert Einstein) Undergraduate Travel Chairs: Lea Duncker (Columbia) and Kevin Miller (DeepMind) Development Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Chamaplimaud) Poster Design: Maja Bialon PROGRAM COMMITTEE Mark Histed (NIH) Co-chair Kimberly Stachenfeld (DeepMind) Co-chair Mikio Aoi (UCSD) Arkarup Banerjee (CSHL) Helen Barron (Oxford) Marcus Benna (UCSD) Adrian Bondy (Princeton) N Alex Cayco Gajic (ENS) Hannah Choi (Georgia Tech) Ben Cowley (CSHL) Brian DePasquale (BU) Sridhar Devarajan (IISc) Laura Driscoll (Allen Institute) Eva Dyer (U Penn) Becket Ebitz (U Montreal) Noemi Elteto (DeepMind) Arseny Finkelstein (Tel Aviv U) Juan Alvaro Gallego (Imperial) Matt Golub (U Washington) Laura Grima (Janelia) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Y Kate Hong (CMU) Michele Insanally (U Pittsburgh) Jonathan Kao (UCLA) Ann Kennedy (Northwestern) Kishore Kuchibhotla (JHU) Anna Levina (U Tubingen) Camilo Libedinsky (National Institute of Singapore) Laureline Logiaco (CU Anschutz) Emily Mace (Med Cntr Gottingen) Emily Mackevicius (Basis) Francesca Mastrogiuseppe (Champalimaud) Alexander Mathis (EPFL) Luca Mazzucatto (U Oregon) Dan McNamee (Champalimaud) Jorge Mejias (UVA) James Murray (U Oregon) Hendrikje Nienborg (NIH) Ramon Nogueira Manas (U Chicago) Gouki Okazawa (Inst of Neurosci, China) Marino Pagan (U Edinburgh) Agostina Palmigiano (UCL) Hannah Payne (NYU) Rui Ponte Costa (Oxford) Carolina Rezaval (U Birmingham) Erin Rich (NYU) Alex Roxin (Centre de Recerca Matematica) Shreya Saxena (Yale) Benjamin Scott (BU) Alireza Soltani (Dartmouth) Nicholas Steinmetz (UW) Carsen Stringer (Janelia) Jennifer Sun (Cornell, DeepMind) Marie Suver (Vanderbilt) Tatjana Tschumatchenko (U Bonn) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brandon (Brady) Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (Centre de Recerca Matematica) Anqi Wu (Georgia Tech) 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 www.cosyne.org/mailing-lists for details.

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Postdoctoral and PhD Positions in Theoretical Neuroscience at SISSA, Trieste
by Francesca Mastrogiuseppe Oct. 7, 2025

Oct. 7, 2025

We invite applications for postdoctoral and PhD positions in the group led by Francesca Mastrogiuseppe at SISSA, Trieste (Italy). The group develops models and statistical tools to investigate how complex dynamics and computations emerge from the coordinated activity of neurons in large-scale cortical circuits. Depending on the candidate’s interests, projects may range from theoretical work to the analysis of experimental data from partner laboratories. Our group is part of the Data Science and Machine Learning initiative at SISSA. SISSA is an elite postgraduate research institution in Mathematics, Physics, and Neuroscience. The working language is English, and the staff is diverse and strongly international. Trieste is a seaside city with a strong scientific community and excellent quality of life. Postdoctoral positions: We seek candidates with research experience in Computational Neuroscience or other quantitative disciplines. Applicants should submit a CV and a brief (½ page) statement of interest. PhD positions: We are looking for candidates with a strong quantitative background and a curiosity to engage with biological questions. Admission is through the doctoral program in Theoretical and Scientific Data Science ( https://datascience.sissa.it/) The official call will open late 2025; informal enquiries and expressions of interest are encouraged. Pre-PhD scholarships and internships may be available. Please send application materials and enquiries to francesca.mastrogiuseppe at sissa.it.

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Joint Neuroscience/Computer Science Appointment: Open Rank, Tenured/Tenure Track Professor
by Weatherly, Christopher J Oct. 7, 2025

Oct. 7, 2025

The Departments of Neuroscience and Computer Science at The University of Texas at Austin invite applications for a tenure-track or tenured faculty position in the interface between neuroscience, artificial intelligence (AI), machine learning (ML) and computer science. Please apply at link below: Https://apply.interfolio.com/175061<https://apply.interfolio.com/175061>

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TR: M2 internship: Modeling State Transition in Sleep and Attention
by DEPANNEMAECKER Damien Oct. 6, 2025

Oct. 6, 2025

Dear All, Please forward this announcement to your best and motivated master students: We are offering a Master’s internship co-supervised by Delphine Oudiette (DreamTeam, Paris Brain Institute) and Damien Depannemaecker (Institute of Systems Neuroscience, Aix-Marseille University) on the modeling of state transitions, in sleep and attention, using tools from dynamical systems theory. The project aims to develop and characterize a dynamical model of these transitions, fit it to empirical data (EEG, behavioral, and subjective measures), and perform model inversion to estimate individual parameters. The candidate should have a strong quantitative background (applied mathematics, physics, computer science, or computational neuroscience), solid programming skills (Python, Matlab, or equivalent), and an interest in modeling and data analysis. The internship, typically lasting six months, will take place in Paris and/or Marseille, depending on the candidate's choice, with opportunities for scientific dissemination of the results. Applications (CV and motivation letter) should be sent to both Delphine Oudiette (delphine.oudiette(a)icm-institute.org) and Damien Depannemaecker (damien.depannemaecker(a)univ-amu.fr) Thanks Damien Depannemaecker

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Bonsai Programming workshop, Heidelberg, Oct 17th
by Mateusz Kostecki Oct. 6, 2025

Oct. 6, 2025

Hello! We are happy to announce our first workshop of the new academic year! This time we will teach you how to use the *Bonsai* reactive programming language. Many experiments require us to synchronize multiple data streams— from cameras, sensors, microscopes—precisely deliver stimuli, and, quite often, do everything in a *closed-loop* setting. The fact that different devices use different software doesn’t make this task easier. One of the best—and open—solutions to these challenges is *Bonsai*, a reactive programming language that allows you to collect data from multiple systems, from calcium imaging through sound recordings to sensors, and to control output devices—such as feeders, motors, or stimulus delivery systems—to build *closed-loop* paradigms. It is easy to learn, implement, and is robust. During our workshop, we will introduce the basic logic of Bonsai; cover loading and saving data; working with a camera to track animals; and the basics of closed-loop experiments. We will also cover using Arduino alongside Bonsai to control experimental equipment and to save data from your sensors. *Requirements:* A Windows computer and a webcam. The workshop will take place on *Oct 17, 9:45 AM–5:00 PM* at *COS, Heidelberg Institute*. Please find more info and the registration form here: https://openlabhd.org/2025/09/30/bonsai-programming-workshop-oct-17th/ With best wishes, *Mateusz Kostecki* -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

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PhD position in Neuroscience: Advanced optical and electrophysiological approaches to study Purkinje cell intrinsic plasticity in larval zebrafish
by tingfenglin.ac＠gmail.com Oct. 6, 2025

Oct. 6, 2025

Position title: PhD position in Neuroscience Hours per week: 36 to 40 Department: Department of Biology, research group of Dr. Ting-Feng Lin↗ To submit your application, visit: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po… 2. Highlight Dissecting neuronal mechanisms underlying learning and memory through cutting-edge microscopy. 3. Introduction It is widely accepted that synaptic plasticity constitutes the cellular correlate of learning. Yet, synaptic plasticity alone is insufficient to fully account for learning. Other mechanisms, such as intrinsic plasticity of membrane excitability, have been shown to be necessary for memory formation. Still, it remains unclear how intrinsic plasticity contributes to memory encoding and alters cognitive processes. In this project, we will leverage the advanced voltage imaging in larval zebrafish to investigate how intrinsic plasticity reshapes neuronal behavior. 4. Your Job In this project, you will contribute to both engineering and neurobiology. First, you will help build a light-sheet microscope optimized for voltage imaging at the single-cell and subcellular level in live larval zebrafish (1). The development of this system will be supported by Dr. Emmanuel Marquez Legorreta↗, Dr. Ernest van der Wee↗, and the Biology Image Center↗ team. Once the microscope is established, you will use it to investigate the electrophysiological properties of cerebellar Purkinje cells with advanced voltage indicators such as Voltron2. The ultimate goal is to uncover how Purkinje cells alter their dendritic signaling and spiking characteristics under different sensory or chemogenetic conditioning paradigms, and to determine how these changes may be mediated through intrinsic plasticity or brain state. (1) Böhm UL, Kimura Y, Kawashima T, Ahrens MB, Higashijima SI, Engert F, Cohen AE. Voltage imaging identifies spinal circuits that modulate locomotor adaptation in zebrafish. Neuron. 2022 Apr 6;110(7):1211-1222.e4. doi: 10.1016/j.neuron.2022.01.001. Epub 2022 Jan 31. PMID: 35104451; PMCID: PMC8989672. 5. Your qualities We are looking for a collaborative and responsible new colleague who meets several or all of the following criteria: • You hold, or are about to complete, a Master’s degree in Biology or Engineering. In a program that requires two internships, students who have completed their first internship are also encouraged to apply! • Has an interdisciplinary background. Previous microscopy training is a strong asset. • Demonstrates a strong interest in, or prior experience with, neuroscience. • You bring enthusiasm for live imaging at single-cell and subcellular level in larval zebrafish. • Have programming skills or a strong willingness to learn them. • Speak and write proficient academic English. 6. Our Offer • a position for 18 months, with an extension to a total of four years upon successful assessment in the first 18 months; • a gross monthly salary between € 3.059 and €3.881 in the case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU); • 8% holiday bonus and 8.3% end-of-year bonus; • A pension scheme, partially paid parental leave, and flexible terms of employment based on the Collective Labour Agreement Dutch Universities. In addition to the terms of employment↗ laid down in the CAO NU, Utrecht University has a number of schemes and facilities of its own for employees. This includes schemes facilitating professional development↗, leave and sports and cultural activities↗. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University↗. 7. About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University↗, the various disciplines collaborate intensively towards major strategic themes↗. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science, shaping tomorrow↗. Working at the Faculty of Science↗ means bringing together inspiring people across disciplines and with a variety of perspectives and backgrounds. The Faculty↗ has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we↗ work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure. Visit us on LinkedIn↗ and discover how you can become part of our community. You will join the group of Dr. Ting-Feng Lin↗ at the Division of Cell Biology, Neurobiology and Biophysics↗ within the Department of Biology. Our division hosts the state-of-the-art Biology Imaging Center↗, which offers technical supports and training in advanced light and fluorescent microscopy. The Lin group works closely and shares lab space with the group of Dr. Emmanuel Marquez Legorreta↗. In addition, several labs in the department pursue diverse scientific questions using as a zebrafish model system, supported by a dedicated core facility maintained by professional veterinarians and technicians. Being part of this enriching community, our group not only shares the common scientific ambitions but also fosters an environment built on care, respect and collaboration. 8. More information For more information, please contact Dr. T.F. (Ting-Feng) Lin at t.f.lin(a)uu.nl. Do you have a question about the application procedure? Please send an email to science.recruitment(a)uu.nl. 9. Apply now As Utrecht University, we want to be a home↗ for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute. If you are enthusiastic about this position, just apply via the "Apply now" button! Please enclose: • your letter of motivation; • your Curriculum vitae; • the names, telephone numbers, and email addresses of at least two references; If this specific opportunity isn’t for you, but you know someone else who may be interested, please forward this vacancy to them. Some connections are fundamental – Be one of them↗ #FundamentalConnection

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Call for abstracts, EMBO Workshop on DENDRITES, 19-22 May 2026, Heraklion, Crete, Greece
by Spyridon Chavlis Oct. 2, 2025

Oct. 2, 2025

Dear colleagues and friends, We are excited to announce the call for abstracts for short oral and poster presentations at the *EMBO Workshop on Dendrites 2026*, taking place from *May 19-22, 2026*, in *Heraklion, Crete, Greece*. This workshop marks the 6th installment in a successful series dedicated to dendritic research. We aim to bring together leading scientists from around the world to share their theoretical and experimental findings. The program is designed to foster dynamic discussions and collaborations in a relaxed atmosphere, emphasizing interaction and the exchange of innovative ideas. *Important Dates:* - *Abstract Submission Deadline:* February 1, 2026 - *Notification of Acceptance:* February 28, 2026 - *Registration Payment Deadline:* March 15, 2026 *There is no fee for abstract submission, and we encourage all potential attendees to submit an abstract, as presenters will receive registration priority.* Please register and submit your abstract online at: https://meetings.embo.org/event/26-dendrites For more information about the workshop, please visit our website or contact us at embo2026(a)artion.com.gr. We look forward to welcoming you to Dendrites 2026! Warm regards, *Spiros Chavlis* On behalf of the Organizing Committee: *Panayiota Poirazi, Lucy Palmer, Mark Harnett* -- Spyridon Chavlis, PhD Postdoctoral Researcher and Systems Administrator Poirazi Lab Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Vassilika Vouton, Heraklion, Crete, Greece Email: schavlis(a)imbb.forth.gr | chavlis.spiros(a)gmail.com Webpage: dendrites.gr <https://www.dendrites.gr/>

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LASCON 2026 - X Latin American School on Computational Neuroscience - Extended Application Deadline
by Antonio Roque Oct. 2, 2025

Oct. 2, 2025

Following multiple requests, the application deadline has been extended to October 11, 2025 (no additional extension will be granted). *LASCON 2026 – X Latin American School on Computational Neuroscience* *January 5–30, 2026 | University of São Paulo, Brazil* https://sisne.org/en/lascon-x/ *APPLICATION DEADLINE: October 11, 2025 (*until midnight, US Pacific Time*)* **** Apologies for cross-posting **** Dear Colleagues, It is my pleasure to announce the *10th edition of the Latin American School on Computational Neuroscience (LASCON 2026)*, which will be held at the University of São Paulo, Brazil, from *January 5 to 30, 2026*. LASCON 2026 offers an intensive four-week training program designed for graduate students, advanced undergraduates, and early-career researchers interested in applying computational and mathematical methods to the study of neurons and neural networks. The curriculum spans multiple scales of brain modeling—from biophysically detailed neurons to large-scale networks and theoretical frameworks of brain function and dysfunction—and covers topics such as extracellular field modeling, synaptic and structural plasticity, brain disease and brain state modeling, artificial intelligence, criticality in brain dynamics, consciousness, and brain–machine interfaces. The program combines *morning lectures* on theory, *afternoon tutorials* using leading simulation tools (NEURON, NEST, NetPyNE), and *evening group project work*, culminating in student project presentations. This 10th edition marks a special milestone: *20 years of LASCON*. Since its first edition in 2006, the school has become a recognized international initiative in computational neuroscience training, attracting students from Latin America and beyond. Over the years, LASCON has welcomed participants from all continents, and its alumni (278 to date) have gone on to successful careers in academia and industry worldwide. To celebrate this anniversary, LASCON 2026 will feature the largest faculty in the school’s history, with lectures and tutorials covering a wide spectrum of subfields in computational neuroscience. Confirmed faculty include: Alain Destexhe (Paris-Saclay Inst. of Neuroscience, France) · Alessandro Treves (SISSA, Italy) · Aline Duarte (USP, Brazil) · Arnd Roth (UCL, UK) · Cláudia Vargas (UFRJ, Brazil) · Daniel Takahashi (UFRN, Brazil) · Demian Battaglia (Univ. of Strasbourg, France) · Enzo Tagliazucchi (Univ. of Buenos Aires, Argentina) · Fernanda Matias (UFAL, Brazil) · Florencia Iacaruso (The Francis Crick Institute, UK) · Gaute Einevoll (NMBU, Norway) · Gustavo Rohenkohl (USP, Brazil) · Hans Ekkehard Plesser (NMBU, Norway) · Harel Shouval (Univ. of Texas Medical School at Houston, USA) · Horacio Rotstein (NJIT & Rutgers, USA) · Junji Ito (Jülich, Germany) · Leonardo Elias (Unicamp, Brazil) · Lyle Muller (Western Univ., Canada) · Marja-Leena Linne (Tampere Univ., Finland) · Markus Diesmann (Jülich, Germany) · Maurício Girardi-Schappo (UFSC, Brazil) · Mauro Copelli (UFPE, Brazil) · Netta Cohen (Univ. of Leeds, UK) · Oswaldo Baffa (USP, Brazil) · Patricia Reynaud-Bouret (Côte d’Azur Univ., France) · Rodrigo Pavão (UFABC, Brazil) · Rodrigo Pena (Florida Atlantic Univ., USA) · Sonja Grün (Jülich, Germany) · Sophia Sanborn (Stanford Univ., USA) · Viktor Jirsa (Aix-Marseille Univ., France) · Valeriy Bragin (SUNY, USA) · William Bialek (Princeton University., USA) · William Lytton (SUNY, USA). *Applications*: The number of students is limited to 40. Applications must be submitted via the school’s website (link <https://sisne.org/en/lascon-x/>) and include a CV (in English) and two recommendation letters. The application deadline is *October 11, 2025 (midnight, US Pacific time)*. *Costs and support*: There is *no registration fee*. Subject to available funding, accommodation may be provided for participants coming from outside Greater São Paulo. Travel costs must be covered by participants. *Selection*: Priority will be given to Latin American students, but applications from all regions are warmly encouraged. LASCON 2026 is organized as an activity of the *FAPESP Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat)*. We look forward to welcoming you in São Paulo. Best regards, *Antonio C. Roque* Director, LASCON -- Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com www.sisne.org ORCID: 0000-0003-1260-4840 <https://orcid.org/0000-0003-1260-4840> ResearcherID: C-2316-2011 <http://www.webofscience.com/wos/author/record/C-2316-2011> Google Scholar: GqHWF74AAAAJ <http://scholar.google.com.br/citations?user=GqHWF74AAAAJ> CV Lattes: 4609096963207702 <http://lattes.cnpq.br/4609096963207702>

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Postdoctoral Position in Computational Neuroscience at NYU Shanghai
by Sukbin Lim Oct. 1, 2025

Oct. 1, 2025

The research group of Prof. Sukbin Lim at NYU Shanghai is seeking a highly motivated Postdoctoral Fellow to join the lab. The position focuses on developing theoretical and computational models to study the dynamics of local neural circuits and their interactions—for example, between sensory and memory systems or between memory and decision-making pathways. A central goal is to advance computational approaches for reverse-engineering these mechanisms. The lab collaborates closely with experimental groups, providing rich opportunities for integrative and interdisciplinary research. For more details, please visit the full* Position Ad <https://drive.google.com/file/d/1oTFLYkN6TtuFPnNlfFr77zDpcFKiX9RF/view?usp=…>*: https://drive.google.com/file/d/1oTFLYkN6TtuFPnNlfFr77zDpcFKiX9RF/view*.*

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Half-priced tickets for researchers - AE Global Summit on Open Problems for AI (28–30th Oct, London, Kings X / Euston)
by Battleday, Ruairidh Sept. 30, 2025

Sept. 30, 2025

Dear Colleagues, We've just announced a 2-for-1 on researcher tickets to our upcoming AI Research Summit <https://that.build> in London thanks to generous funding. If you could forward the below to your internal groups, lists, and networks to spread the word, that would be much appreciated. Many thanks, Ruairidh --------- *AE Global Summit on Open Problems for AI (28–30th Oct, London, Kings X / Euston) - Half-priced researcher tickets thanks to generous funding* Over three days, we will bring together hundreds of scientists, researchers, policymakers, engineers, entrepreneurs, and artists to discuss the most important open problems in AI, and how we might solve them. Programme highlights Day 1: AI Research Breakthroughs & Infrastructure Featuring Prof. David Silver (DeepMind) <https://davidstarsilver.wordpress.com/>, Dr Raia Hadsell (DeepMind), <https://raiahadsell.com/index.html> Prof. Jakob Foerster (Meta & Oxford), <https://www.jakobfoerster.com/> Dr Laura Gilbert (Tony Blair Institute) <https://www.linkedin.com/in/dr-laura-gilbert/>, Prof. Emine Yilmaz (UCL) <https://www.linkedin.com/in/emine-yilmaz-978b937/>, Prof. Oana-Maria Camburu (Imperial) <https://sites.google.com/view/oana-maria-camburu/>, Dr Minqi Jiang (Meta) <https://minch.co/>, Dr Sarah Parisot (Microsoft) <https://www.linkedin.com/in/parisotsarah/?locale=en_US>, and senior research leaders from NVIDIA <https://www.nvidia.com/en-gb/>, NSCALE <https://www.nscale.com/>, Thomson Reuters <https://www.thomsonreuters.com/en>, Bertelsmann <https://www.bertelsmann.com/#st-1>, Wayve <https://wayve.ai/>, Innovate UK <https://www.linkedin.com/company/innovateuk/>, UKRI Future Leaders Fellowship <https://www.ukri.org/what-we-do/developing-people-and-skills/future-leaders…> , Hassana Labs <https://www.linkedin.com/company/hassana-labs/>, and many more. Day 2: AI Safety, Enterprise, & Society Speakers include Prof. Chris Summerfield (AISI & Oxford) <https://www.psy.ox.ac.uk/people/christopher-summerfield>, Prof. Richard Susskind (Oxford) <https://www.susskind.com/>, Dr Artemis Seaford (ElevenLabs <https://www.linkedin.com/in/artemisseaford/>), Dr Marius Hobbhahn (Apollo Research) <https://www.linkedin.com/in/marius-hobbhahn-128927175/?originalSubdomain=uk> , Dr Abhishek Mishra (Faculty) <https://www.linkedin.com/in/abhishekvsm/>, Kriti Sharma (IFS Global) <https://www.linkedin.com/in/kritisharma3?originalSubdomain=uk>, Dr Dara L. Sosulski (HSBC) <https://www.linkedin.com/in/dara-l-sosulski-phd/>, Dr James Kuht (Pair) <https://www.linkedin.com/in/jameskuht/>, and safety and society leaders from ADVAI <https://www.advai.co.uk/>, Academy <https://www.linkedin.com/company/we-are-academy/posts/?feedView=all>, Blue Dot Impact <https://www.linkedin.com/company/bluedotimpact/>, Multiverse <https://www.multiverse.io/en-GB>, Tony Blair Institute <https://institute.global/>, Bernstein Insights <https://www.bernstein.com/our-insights/insights.html>, PolyAI <https://poly.ai/>, HSBC <https://www.hsbc.co.uk/>, the Financial Times <https://www.ft.com/>, and many more. Day 3: AI Entrepreneurship & Applications (Education and Medicine) With Minister Narayan (DSIT) <https://www.gov.uk/government/people/kanishka-narayan>, Alexander Straub (Straub Ventures) <https://www.linkedin.com/in/alexanderstraub/?originalSubdomain=uk>, Dr Trias Gkikopoulos (Innovate UK) <https://www.linkedin.com/in/triantafyllosgkikopoulos/?original_referer=http…> , Erwann Le Lannou (XTX Markets) <https://www.linkedin.com/in/erwann-le-lannou/?originalSubdomain=uk>, Prof Rose Luckin (UCL & Educate Ventures) <https://www.linkedin.com/in/rose-luckin-5245003/?authType=&authToken=&trk=m…> , Dr Irina Jurenka (DeepMind) <https://www.linkedin.com/in/irina-jurenka-74455235/?originalSubdomain=uk>, Prof Thore Graepel (UCL) <https://thoregraepel.github.io/>, an expo session featuring investors and startups from London AI Hub <https://www.linkedin.com/company/london-ai-hub/>, Venture Cafe London <https://www.linkedin.com/company/venturecafelondon/>, Harvard and MIT Tech Alumni, Founders Forum <https://www.linkedin.com/company/foundersforumgroup/>, Entrepreneur First <https://www.linkedin.com/company/entrepreneurs-first/>, Cooley LLP <https://www.linkedin.com/company/cooleyllp/>, NVIDIA <https://www.nvidia.com/en-gb/>, XTX Markets <https://www.xtxmarkets.com/>, and contributors from Google Health <https://health.google/>, Raspberry Pi Foundation <https://www.raspberrypi.org/>, Newton’s Tree, <https://www.newtonstree.ai/> the NHS senior AI team, and many more. The conference will feature keynote talks, panels, spotlight talks, breakout rooms, and an expo hall, alongside opportunities for informal discussion with colleagues from institutions including Oxford <https://www.ox.ac.uk/>, UCL <https://www.ucl.ac.uk/>, KCL <https://www.kcl.ac.uk/>, Imperial <https://www.imperial.ac.uk/>, Stanford <https://www.stanford.edu/>, Harvard <https://www.harvard.edu/>, MIT <https://www.mit.edu/>, DeepMind <https://deepmind.google/>, Meta <https://www.meta.com/en-gb/about/?srsltid=AfmBOooyD76gNdU_z8E_JulzOLafvKow3…> , Microsoft <https://www.microsoft.com/en-gb/>, NVIDIA <https://www.nvidia.com/en-gb/>, 11labs <https://elevenlabs.io/>, Wayve <https://wayve.ai/>, AISI <https://www.aisi.gov.uk/>, Alto Labs <https://www.altoslabs.com/>, PolyAI <https://poly.ai/>, Contextual AI <https://contextual.ai/>, UKRI <https://www.ukri.org/>, the Sovereign AI Team, DSIT <https://www.gov.uk/government/organisations/department-for-science-innovati…>, and many more. We’d love to see some of you there! Generous sponsorship has allowed us to open access to the Summit for researchers, so if you'd like to bring a friend or colleague that couldn't otherwise come for no extra charge (or, if you'd just like to split costs with them), please do use the discount code below. Register via the link below. If you'd like to bring a friend for free, add two Researcher tickets to checkout, then enter discount code *AE2025*: https://tickets.algopreneurship.org/ResearchersEmail If you've already bought a ticket and would like to bring a friend along, please do message webmaster(a)thinkingaboutthinking.org Many thanks, Ruairidh and the team -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Assistant Professor in Computational Cogitive Neuroscience at SUNY Albany
by MALHOTRA, Gaurav Sept. 30, 2025

Sept. 30, 2025

Dear colleagues, The Department of Psychology at the University at Albany (State University of New York) invites applications for a full-time, tenure-track position at the rank of Assistant Professor in Computational Cognitive Neuroscience. We are seeking a scholar whose research addresses fundamental questions about human cognition and the brain by integrating cutting-edge neuroscience methods with innovative computational approaches such as artificial intelligence (AI), machine learning, or neuromorphic computing. Check out additional details and qualifications here: https://albany.interviewexchange.com/jobofferdetails.jsp?JOBID=193092 Best wishes, Gaurav. --- Gaurav Malhotra Assistant Professor Department of Psychology University at Albany, SUNY https://www.cclab.ac<https://www.cclab.ac/>

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Doctoral Position in Theoretical Biophysics at Center for Advanced Study of Collective Behavior
by Ahmed El Hady Sept. 30, 2025

Sept. 30, 2025

Doctoral position in Theoretical Biophysics (Deadline : 1st November 2025) We are seeking a doctoral student with a quantitative background. Ideally, the candidate should have a master degree in physics but other quantitative backgrounds will be considered. The researcher will be based in the Integrative Biophysics group at the University of Konstanz and Max Planck Institute of Animal Behaviour, located in Konstanz, Germany. The Integrative Biophysics group <https://www.exc.uni-konstanz.de/collective-behaviour/about-us/people/integr…> is led by Dr. Ahmed El Hady. The group focuses on a diverse set of theoretical biophysics problems. The doctoral project is a collaboration between the integrative biophysics research group and the research group of Prof. Ilya Nemenman at Emory University, Altanta, US. The doctoral student will have the opportunity to have research stays at Emory University. The project summary is as follows: *Project Title*: /Inferring dynamical interactions in social groups/ *Project Abstract*: Social interactions are one of the most foundational building blocks of group behaviors, shaping decision making strategies across ecologies. Social groups consist of small number of individuals in contrast with collectives that consist of large number of agents. Despite the importance of social groups as a building block of living systems, there is little understanding of mechanistic details of the nature of those social interactions and how they shape emergent social functional properties. This stands in contrast with physics of collectives, which usually focus on the dynamics of very large group of individuals and have been thoroughly studied. In an experimental sys-tem or in field observations tackling social behaviors, we do not know a priori the social forces, nature of those interactions and their dynamics. Recent advances in software and hardware allow us to track the behavior of multiple individuals over extended spatio-temporal scales. Thus it is crucial to develop methodologies to infer dynamical social interactions and social forces from experimental observations. This relates closely to work done inferring "social forces" from dusty plasmas. Recent theoretical work has developed an information theoretic approach to estimate intrinsic motivation, based on maximizing an agent's empowerment (defined as the mutual information between its past actions and future states). This approach can be used to study social behaviours, where individuals choose actions without an explicit reward signal. In this project, we are planning to apply this framework to infer and understand social behaviour of small animal groups specifically locusts, mice and marmosets monkeys offering not only a mechanistic insights into mechanisms of social organization but also make quantitative evolutionary comparison of social behaviours. *Relevant publications:* 1. Yu, Wentao, Eslam Abdelaleem, Ilya Nemenman, and Justin C. Burton. "Physics-tailored machine learning reveals unexpected physics in dusty plasmas.Proceedings of the National Academy of Sciences 122, no. 31 (2025): e2505725122. 2. Tiomkin, Stas, Ilya Nemenman, Daniel Polani, and Naftali Tishby. "Intrinsic motivation in dynamical control systems.” PRX Life 2, no. 3 (2024): 033009. The doctoral position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/12/2025 and deadline for application is 01/11/2025. For more information and application , please visit the website: https://stellen.uni-konstanz.de/jobposting/09992aa34cc8da9cb6416ec16df7ece3… and the application portal is here: https://stellen.uni-konstanz.de/en/jobposting/09992aa34cc8da9cb6416ec16df7e… If you have any questions or need more information concerning the position, please contact Ahmed El Hady on : ahmed.el-hady(a)uni-konstanz.de

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Postdoctoral Fellow – Computational Neuroscience of Working Memory in Aging and Alzheimer’s Disease
by Klaus Wimmer Sept. 30, 2025

Sept. 30, 2025

We are recruiting a Postdoctoral Researcher for an NIH-funded project investigating the neural circuit mechanisms of working memory decline in aging and Alzheimer’s disease. The postdoc will be based at Boston University in the laboratory of Dr. J. Luebke<https://www.bumc.bu.edu/anatneuro/luebke-lab-2/> in Boston, MA and work primarily on computational modeling of large-scale prefrontal cortex networks, under the remote supervision of Dr. Klaus Wimmer<https://www.crm.cat/_neuroscience/> (Centre de Recerca Matematica, Barcelona, Spain). The project combines computational and empirical approaches, and the postdoc will develop large-scale spiking network models that incorporate biologically realistic perturbations such as myelin changes, synapse loss, and neuronal hyperexcitability. The position offers close interaction with experimental collaborators, opportunities to generate testable predictions, and strong support for publishing and presenting work internationally. Qualifications * PhD in computational neuroscience, physics, computer science, applied mathematics, or a related field. * Strong programming skills (Python; experience with simulation environments like Brian2, NEST, or NEURON a plus). * Background in neural network modeling, systems neuroscience, or dynamical systems. Position Details * Initial appointment: 1 year, renewable based on performance and funding. * Start date: Flexible, ideally Fall/Winter 2025. * Salary and benefits follow NIH/BU guidelines. How to Apply Please send a CV, a short cover letter describing your research interests, and contact details for 2–3 referees to kwimmer(a)crm.cat<mailto:kwimmer@crm.cat>. Applications will be reviewed on a rolling basis until the position is filled. CONFIDENTIALITY AND PRIVACY NOTICE: This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction. We inform you that the personal data contained in this document, and in particular your contact information and professional position, are protected in accordance with current legislation on the protection of personal data. Centre de Recerca Matemàtica (CRM) will process the data only for the purpose of managing the relationship you have with us. The data will be kept while the purpose for which it was collected remains. You can exercise at any time your rights to access, rectification and erasure of your personal data, as well as the right to object and restriction of processing. For this, you must contact CRM by email to dpo(a)crm.cat.

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Full Professor Artificial Intelligence for Biology
by Jolivet, Renaud (MACSBIO) Sept. 29, 2025

Sept. 29, 2025

Our department has an opening for a Full Professor Artificial Intelligence for Biology affiliated with the Maastricht Centre for Systems Biology and Bioinformatics at Maastricht University in The Netherlands. Come be my colleague! All details available here https://vacancies.maastrichtuniversity.nl/job/Maastricht-Full-Professor-Art…. Cheers, Renaud — Prof. Dr. Renaud B. Jolivet, FISC André Mischke YAE Prize for Science and Policy 2023 and MCAA Career Award 2022 Chair of Neural Engineering and Computation, MaCSBio, Maastricht University User Team Leader, ISOLDE, CERN ERA Forum Stakeholder Representative, European Commission Chair of the Science and Technology Committee, EBRAINS Polymath Fellow, GCSP +41798302129 (mobile) ‭+31433881741 (office)‬ r.jolivet(a)maastrichtuniversity.nl <mailto:renaud.jolivet@unige.ch> twitter.com/RenaudJolivet <https://twitter.com/RenaudJolivet> linkedin.com/in/renaud-jolivet-63b5534 <http://linkedin.com/in/renaud-jolivet-63b5534> scholar.google.ch/citations?user=9Ozwv7EAAAAJ <http://scholar.google.ch/citations?user=9Ozwv7EAAAAJ>

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Postdoc opening: Smith Lab - University of Minnesota, Minneapolis MN
by Gordon Smith Sept. 26, 2025

Sept. 26, 2025

The Smith lab at the University of Minnesota is seeking a motivated and talented postdoctoral researcher to study the development of large-scale networks in the developing brain. Our lab employs optical approaches to study the mechanisms of cortical network formation in the developing brain. We have recently obtained funding to use wide-field and 2-photon optogenetics to investigate how perturbations of early network function impact development. Preferred candidates will have a Ph.D. or equivalent in neuroscience, biology, or related field, and experience in one or more of the following areas: multiphoton imaging, optogenetics, calcium imaging, *in vivo *electrophysiology, and / or analysis of large-scale datasets. Applicants without prior experience in these areas but with a strong interest in systems neuroscience and applying optical approaches to investigate circuit function are also encouraged to apply. Please apply by sending a cover letter stating your interest in the project, your CV, and a brief research statement (1-2 pages) as a *single pdf* to Gordon Smith (gbsmith(a)umn.edu) with the subject line “Smith Lab Postdoc 2025”. References will be requested after initial review. This is a fully funded multi-year position with excellent benefits. Salary will be commensurate with experience, and will meet or exceed NIH levels. Review of applications will begin immediately and continue until the position is filled. For additional information please see our website: https://www.smithneurolab.org/positions. -- Gordon Smith, Ph. D. Associate Professor Associate Director of Graduate Studies Graduate Program of Neuroscience Optical Imaging and Brain Science Medical Discovery Team Department of Neuroscience Center for Magnetic Resonance Research University of Minnesota smithneurolab.org CMRR 1-311C 2021 6th Street S.E. Minneapolis, MN 55455 612-625-8823

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GCNU-SWC Joint PhD Programme: Applications now open!
by Lin, I-Chun Sept. 25, 2025

Sept. 25, 2025

Gatsby Unit and Sainsbury Wellcome Centre Joint PhD Programme Deadline: 17:00 GMT, Monday 3 November 2025 The Gatsby Unit (GCNU) and Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) have launched a 4-year joint PhD programme that aims to bridge the gap between theory and experiments. This PhD programme is designed to immerse students in both experimental and theoretical thinking, providing a rigorous preparation for an interdisciplinary research career. Courses in the first year provide a comprehensive introduction to systems neuroscience, theoretical/computational neuroscience, and machine learning. Students will be part of the 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 for a critical mass of theoreticians and experimentalists to interact closely with one another and with researchers at the ELLIS Unit at UCL and related UCL departments/domains such as UCL Neuroscience Domain; Artificial Intelligence; Computer Science; Statistical Science; and the nearby Francis Crick and Alan Turing Institutes. 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. For programme details (including the key differences between the Gatsby Unit PhD programme, the SWC PhD programme, and the joint programme) and how to apply, see 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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Open Postdoc Positions: Center for Computational Neuroscience at Flatiron Institute
by Allison Ong Sept. 23, 2025

Sept. 23, 2025

Applications are invited for postdoctoral Flatiron Research Fellowships (FRFs) at the Center for Computational Neuroscience (CCN) <www.simonsfoundation.org/flatiron/center-for-computational-neuroscience/> within the Flatiron Institute at the Simons Foundation. The mission of CCN is to develop theories, models, and computational methods that deepen our knowledge of brain function. CCN takes a vertically-integrated “systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning. In addition to carrying out an independent research program, FRFs are expected to: disseminate their results through scientific presentations, publications, and software release, collaborate with other members of the CCN or Flatiron Institute, and participate in the scientific life of the CCN and Flatiron Institute by attending seminars, colloquia, and group meetings. FRFs also have the opportunity to organize workshops and to mentor graduate and undergraduate students. FRF positions are two-year appointments and are generally renewed for a third year, contingent on performance. FRFs receive a research budget and have access to the Flatiron Institute’s world-class scientific computing resources. FRFs may be eligible for subsidized housing within walking distance of the CCN. This is a full-time in-person position located at the Simons Foundation office in New York City. Applications will be evaluated based on the following selection criteria: Past research accomplishments Proposed research plans Synergy of applicant’s expertise and research proposal topic with existing CCN research groups and projects *Additional details and the application submission link can be found here: https://apply.interfolio.com/173400 <https://apply.interfolio.com/173400>*

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Call for applications: Gatsby Unit PhD Programme 2026 entry
by Lin, I-Chun Sept. 23, 2025

Sept. 23, 2025

4-Year PhD Programme in Theoretical Neuroscience and Machine Learning Deadline: 17:00 GMT, Monday 3 November 2025 We welcome applications for 2026 entry to the Gatsby Unit PhD programme at University College London (UCL). Our research focuses on the mathematical principles of learning, perception and action in brains and machines. Ours is one of the original programmes to bring together neuroscience and machine learning, creating a critical mass for interaction amongst theoreticians in related fields. First-year courses provide training in machine learning as well as theoretical and systems neuroscience, after which PhD project may specialise in machine learning, theoretical neuroscience or encompass both. Students are encouraged to work closely with colleagues in the Sainsbury Wellcome Centre for Neural Circuits and Behaviour and/or the ELLIS Unit at UCL; and we have strong links to many world-class research groups at UCL and beyond. Applicants should have a very 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. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the Gatsby Recruitment Portal. See http://www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gatsby-unit-phd-pr… for details. Further information The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. We are a community of around 50 academic and research staff, students and support staff. We function as far as possible as a single large research group, interacting closely through regular unit-wide research activities. Many leading researchers in both machine learning and neuroscience have studied or worked in the Unit. Over 40% of our PhD and postdoctoral alumni hold a faculty position and about 30% work in research development in companies such as Google DeepMind (itself founded by two of our alumni), Meta and Anthropic. * Information on our research: https://www.ucl.ac.uk/life-sciences/gatsby/research * Read more about our faculty members: https://www.ucl.ac.uk/life-sciences/gatsby/people

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Doctoral Position in Developmental Artificial Intelligence at the Frankfurt Institute for Advanced Studies
by Jochen Triesch Sept. 22, 2025

Sept. 22, 2025

We are looking for a highly motivated Doctoral Researcher (f/m/d) to join the group of Jochen Triesch at the Frankfurt Institute for Advanced Studies (FIAS). The position is part of a new initiative within the German Excellence Cluster The Adaptive Mind (TAM) and is expected to start in early 2026. The application deadline is October 15, 2026. To submit your application, visit: https://jobapplication.hrworks.de/en?companyId=amb4af72&id=f39623 About the position The vacant position will be funded by the new German Excellence Cluster „The Adaptive Mind". Our goal is to reveal the computational and learning principles underlying the fascinating development of cognitive abilities in infants and toddlers through embodied computational modeling. To accomplish this goal, we will closely collaborate with Developmental Psychologists to develop embodied computational models of how infants and toddlers learn to perceive and understand the world, control their bodies and plan their behavior. These models will make use of our MIMo (Multimodal Infant Model) platform (see: https://ieeexplore.ieee.org/abstract/document/10382408) Topics of interest include, but are not limited to, the development of abstract multimodal sensory representations, body know-how, and models of the self. About FIAS The Frankfurt Institute for Advanced Studies (FIAS) is a hub for theoretical and computational research located on the science campus of Goethe University Frankfurt (Campus Riedberg). Our fellows pursue interdisciplinary approaches to address fundamental questions in the natural sciences. The group of Jochen Triesch at FIAS is seeking a doctoral student in the area of Developmental AI and computational modeling of cognitive development. About TAM The Adaptive Mind (TAM) is an excellence cluster funded within Germany’s excellence strategy, which aims to strengthen Germany’s position as an outstanding research hub in the long term and further improve its international competitiveness. The Adaptive Mind is a research cluster that brings together scientists from Experimental Psychology, Clinical Psychology and Artificial Intelligence in order to understand how the human mind successfully adapts to changing conditions, and what happens when these adaptive processes fail. For more information please visit: https://www.theadaptivemind.de/ We are looking for a candidate with: • An excellent master’s degree in machine learning, cognitive science, robotics, physics, engineering or related field • A strong quantitative background • Prior knowledge in Cognitive Development is advantageous, but not required. We offer: • an inspiring work atmosphere • excellent research infrastructure and dedicated mentoring • outstanding opportunities for training and career development. You will be affiliated with the Excellence Cluster „The Adaptive Mind“, Goethe-University and a fellow of FIGSS, the graduate school of FIAS • rich possibilities to collaborate with experimental groups • the opportunity to live in Frankfurt am Main, a vibrant and exciting cosmopolitan city in the heart of Europe, which consistently earns high rankings in worldwide surveys of quality of life • a funded PhD position with a competitive salary (65%, based on the TV-H E13 pay scale). Required documents: • a motivation letter, highlighting why you want to do a PhD in the field and in our lab • a detailed curriculum vitae containing academic qualifications, research experiences, skills, possibly a publication list where you highlight your specific contributions • names and contact information of at least two scientists who can give references • detailed transcripts of records of your Master’s and Bachelor’s programs. The Frankfurt Institute for Advanced Studies 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. In accordance with the German General Equal Treatment Act (AGG), all qualified applicants will be given equal consideration. Where qualifications are equal, preference will be given to applicants with a disability. Please note that any costs incurred in connection with a personal interview will not be reimbursed. For questions, please contact: Frankfurt Institute for Advanced Studies (FIAS) Ruth-Moufang-Str. 1, 60438 Frankfurt am Main triesch(a)fias.uni-frankfurt.de https://fias.uni-frankfurt.de Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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Shanahan Foundation Fellowship at the Interface of Data and Neuroscience
by Anton Arkhipov Sept. 18, 2025

Sept. 18, 2025

Dear Colleagues, We are pleased to announce this year’s application cycle for The Shanahan Foundation Fellowship at the Interface of Data and Neuroscience, a three-year fellowship program aiming to bring fresh perspectives from diverse technical backgrounds to the field of neuroscience. The program is co-hosted by the Allen Institute and the University of Washington, through the Computational Neuroscience Center. It is directed by Dr. Christof Koch at the Allen Institute and Dr. Adrienne Fairhall at UW. Fellows choose a co-mentor from each of the two institutions and will be employed by the Allen Institute as a Scientist (salary starting at $106,780 annually), with an affiliate postdoctoral appointment at UW. Accepted fellows propose their own research project(s), with access to the Allen Institute's wealth of structural, genomic, and functional data collected over the past 15 years (brain-map.org<https://brain-map.org>). This unique opportunity allows fellows to ground their theories in rich empirical resources, potentially inspiring novel analyses, visualizations, and predictions that could subsequently be empirically tested. Each fellow will have the opportunity to mentor a fully funded UW undergraduate or postbaccalaureate research assistant who helps with their research for 3-12 months. Fellows also have access to career development activities through the University of Washington’s Computational Neuroscience Center. Fellows will receive an intensive orientation through the two-week long Summer Workshop on the Dynamic Brain<https://alleninstitute.org/events/summer-workshop-on-the-dynamic-brain-2025/> at UW’s Friday Harbor Laboratory on San Juan Island. We are seeking candidates for this three-year program. Up to three fellows will be selected to begin in Fall 2026. Applicants must be Ph.D.s (or equivalent) in a quantitative field such as computer science, electrical engineering, physics, or mathematics with a background in statistical, computational and machine learning methods. Ph.D. should have been awarded in the last 3 years. No previous experience in neuroscience is required. Applications are due by December 1st, 2025. More information can be found at the Shanahan Foundation website.<https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda…> If you have questions, please contact us at shanahan.fellow(a)alleninstitute.org<mailto:shanahan.fellow@alleninstitute.org> Best regards, Anton. Anton Arkhipov Investigator, Allen Institute antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org> brain-map.org<https://portal.brain-map.org/>

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SNUFA 2025 - Abstract submission closing soon
by Friedemann Zenke Sept. 17, 2025

Sept. 17, 2025

This is a friendly reminder that the SNUFA 2025 abstract submission closes soon (deadline Sept 26, 2025). SNUFA 2025 will take place on November 5-6, 2025 (online). See https://snufa.net/2025 for details. This year's invited speakers are Elisabetta Chicca (University of Groningen), Jason Eshraghian (UC Santa Cruz), Tomoki Fukai (OIST), and Chengcheng Huang (University of Pittsburgh). 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 aim to have a manageable number of talks with ample discussion time. Attendance is free, but registration is required. Abstract submission deadline: September 26, 2025 (anywhere on earth) SNUFA 2025 is brought to you by David Kappel, Julijana Gjorgjieva, Dan Goodman, and Friedemann Zenke --- https://snufa.net/2025 Powered by www.world-wide.org/Neuro/

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Postdoctoral Position in Applied Mathematics & Computational Neuroscience at Oxford
by Lida Kanari Sept. 17, 2025

Sept. 17, 2025

Dear all, I am pleased to share that I am recruiting a *Postdoctoral Research Associate* to join my group at the *Mathematical Institute, University of Oxford*. This is a 1-year, fixed-term position (UKRI MRC funded <https://gtr.ukri.org/projects?ref=MR%2FZ504804%2F1>) with the possibility of renewal, as part of the project “Algebraic topology bridging the gap between single neurons and networks”. The start date is flexible between *January and June 2026* and the deadline for applying is *October 13th*. My group <https://www.maths.ox.ac.uk/people/lida.kanari> works at the intersection of topological data analysis, applied mathematics, and computational neuroscience, with a focus on bridging scales from single neurons to networks. The successful candidate will have the opportunity to conduct independent and collaborative research within Oxford and with international partners, and to contribute to the vibrant OCIAM community. Full details and the application portal can be found here <https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=…> . Please circulate this to anyone who may be interested! Best wishes, Lida Kanari

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