- Comp-neuro - lists.cnsorg.org

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

Oct. 21, 2026

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

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

Oct. 20, 2026

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

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

Oct. 19, 2026

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

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

Oct. 19, 2026

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

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

Oct. 19, 2026

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

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

Oct. 18, 2026

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

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

Oct. 17, 2026

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

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

Oct. 16, 2026

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

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

Oct. 16, 2026

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

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Funded PhD Opportunities at the University of Toronto: NeuroAI and Computational Neuroscience
by Helena Liu Oct. 15, 2026

Oct. 15, 2026

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

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

Oct. 15, 2026

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

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

Oct. 14, 2026

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

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

Oct. 14, 2026

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

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

Oct. 14, 2026

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

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

Oct. 14, 2026

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

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

Oct. 14, 2026

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

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

Oct. 13, 2026

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

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

Oct. 13, 2026

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

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

Oct. 12, 2026

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

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

Oct. 12, 2026

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

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

Oct. 12, 2026

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

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

Oct. 10, 2026

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

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

Oct. 10, 2026

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

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

Oct. 10, 2026

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

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Scientist I, Theory of neural circuits, Allen Institute
by Ulises Pereira Obilinovic Oct. 9, 2026

Oct. 9, 2026

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

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

Oct. 9, 2026

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

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

Oct. 9, 2026

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

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

Oct. 8, 2026

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

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

Oct. 8, 2026

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

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

Oct. 8, 2026

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

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

Oct. 8, 2026

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

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

Oct. 7, 2026

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

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

Oct. 5, 2026

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

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

Oct. 5, 2026

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

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

Oct. 5, 2026

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

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

Oct. 5, 2026

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

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

Oct. 5, 2026

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

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

Oct. 4, 2026

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

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

Oct. 2, 2026

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

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

Oct. 1, 2026

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

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

Oct. 1, 2026

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

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

Oct. 1, 2026

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

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

Oct. 1, 2026

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

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

Oct. 1, 2026

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

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

Sept. 30, 2026

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

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

Sept. 30, 2026

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

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

Sept. 29, 2026

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

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

Sept. 28, 2026

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

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

Sept. 28, 2026

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

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

Sept. 26, 2026

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

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