- Comp-neuro - lists.cnsorg.org

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

Oct. 5, 2026

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

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

Oct. 5, 2026

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

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

Oct. 5, 2026

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

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

Oct. 5, 2026

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

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

Oct. 5, 2026

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

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

Oct. 4, 2026

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

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

Oct. 2, 2026

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

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

Oct. 1, 2026

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

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

Oct. 1, 2026

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

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

Oct. 1, 2026

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

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

Oct. 1, 2026

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

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

Oct. 1, 2026

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

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

Sept. 30, 2026

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

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

Sept. 30, 2026

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

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

Sept. 29, 2026

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

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

Sept. 28, 2026

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

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

Sept. 28, 2026

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

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

Sept. 26, 2026

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

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

Sept. 25, 2026

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

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

Sept. 24, 2026

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

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

Sept. 24, 2026

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

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

Sept. 24, 2026

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

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

Sept. 23, 2026

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

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

Sept. 23, 2026

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

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

Sept. 22, 2026

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

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