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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

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…>

Oct. 9, 2026

Kosice Neuroscience Workshop, 19 - 21 April, 2027

by Norbert Kopco

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/>.

Oct. 8, 2026

Funded PhD opportunities in social neuroscience at Texas A&M — Fall 2027

by Speer, Sebastian

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

Oct. 8, 2026

Save the Date | ACDL 2027 – 7–11 June 2027 | Tuscany, Italy

by ICAS Organizing Committee

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

Oct. 8, 2026

IOB PhD and MD–PhD Program is accepting applications

by PHD Program

🧠 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.*

Oct. 8, 2026

Organization for Computational Neurosciences - call for self-nominations to the Board of Directors - deadline extended to October 16

by Rubchinsky, Leonid L

Dear colleagues, The Organization for Computational Neurosciences is inviting self-nominations for the election to the OCNS Board of Directors. All members with active OCNS membership status (all dues paid before the application deadline) can self-nominate, provided they: (i) have been a member of OCNS for a minimum of 12 months, or (ii) have attended an on-site CNS conference in the past. We are aware that some members experienced difficulties accessing the self-nomination form. This issue has now been resolved. In view of these access problems, we have extended the deadline to ensure that everyone has sufficient time to submit an application. Information about the new Directors' election and how to apply can be found at https://www.cnsorg.org/election-procedures The deadline for application is October 16, 2026. Best regards, Leonid Rubchinsky OCNS Vice President On behalf of the OCNS Nomination Committee *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iu.edu https://lrubchin.pages.iu.edu ***********************

Oct. 7, 2026

[Postdoc] Neural Circuits of Sensorimotor Control – University of Copenhagen

by Carmelo Bellardita

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>

Oct. 5, 2026

Fully funded PhD positions in computational neuroscience : modeling the complexity of neural oscillations

by DI VOLO MATTEO

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/

Oct. 5, 2026

Postdoctoral position in Applied Mathematics & Computational Neuroscience at Oxford

by Lida Kanari

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

Oct. 5, 2026

GCNU-SWC Joint PhD Programme: Applications now open!

by I-Chun Lin

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

Oct. 5, 2026

PhD Opportunity: Multi-Omics Digital Twins for Brain Ageing

by Caroline Lea-Carnall

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…>

Oct. 5, 2026

Open submissions: Multiscale Brain Imaging, Networks and AI

by Vesna Vuksanovic

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/>

Oct. 4, 2026

PhD Opportunities at University of Colorado Anschutz

by Tahra Eissa

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

Oct. 2, 2026

COSYNE 2027: Call for Workshop Proposals; Abstract submission is now open; UNDERGRADUATE travel grants are now open

by Tomas Hromadka

==================================================== 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.

Oct. 1, 2026

PhD in Perceptual Learning (fMRI + modelling) in San Sebastian, Spain

by Alejandro Tabas

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

Oct. 1, 2026

Postdoc position in model-based neurostimulation in Strasbourg (France)

by camille.gontier＠inria.fr

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

Oct. 1, 2026

UniReps in Paris 🔵🔴 We have a date!

by Organizers

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

Oct. 1, 2026

Postdoctoral Position: Autism, Psychosis, Computational Psychiatry & Multimodal Neuroimaging (Stanford University

by daelsaid＠stanford.edu

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.

Oct. 1, 2026

Applications Open: SWC Systems Neuroscience PhD Programme in London

by Alison Cranage

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/>

Sept. 30, 2026

Symposium on Neuroscience and Artificial Intelligence, 19–20 October 2026 Kaunas, Lithuania

by DEPANNEMAECKER Damien

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>

Sept. 30, 2026

Forecasting responsiveness under propofol - ICASSP 2027 Grand Challenge

by Katja

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/

Sept. 29, 2026

Computational Postdoctoral Position: Uncovering the Mathematics of Predictive Pursuit

by jonathan.whitlock＠ntnu.no

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

Sept. 28, 2026

2nd UK Theoretical Neuroscience Workshop – 18 December 2026, London

by Dimitris Pinotsis

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

Sept. 28, 2026

Open PhD and postdoc positions in computational neuroscience/neuroAI

by Roxana Zeraati

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

Sept. 26, 2026

postdoc or staff scientist

by Canavier, Carmen C.

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.

Sept. 25, 2026

Postdoctoral position: Computational neuroscience, nonlinear dynamics, and control (University of Arizona)

by drew＠arizona.edu

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

Sept. 24, 2026

Upcoming Open Lab Online seminars and workshops

by Nada El Mahmoudi

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

Sept. 24, 2026

Announcement: daftar 1.0 — recording what produced each computational result

by Aslan Satary Dizaji

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

Sept. 24, 2026

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

[??] 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

Sept. 23, 2026

New PhD & Postdoc Opportunities in Computational Neuroscience & Computational Psychiatry

by Nadja R. Ging Jehli

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>

Sept. 23, 2026

Call for Papers: ACML 2026 (Encore Track)

by Levin Kuhlmann

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

Sept. 22, 2026

NeuroData AI Summer School: applications open for July 2027 at HHMI-Janelia

by Ben Dichter

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

Sept. 22, 2026

Call for applications: Gatsby Unit PhD Programme 2027 entry

by I-Chun Lin

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

Sept. 22, 2026

Patagonian School of Science: Application deadline extended to 25 September 2026

by Ines Samengo

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

Sept. 21, 2026

Call for Papers-ICICIP 2027, Vientiane and Luang Prabang, February 8-14, 2027 (Submission deadline: October 1, 2026)

by Nian Ashlee Zhang

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

Sept. 20, 2026

Postdoctoral Scholar Neuroimaging

by Ayan Sengupta

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

Sept. 18, 2026

SNUFA 2026 abstract submission deadline in one week (Sept 25)

by Friedemann Zenke

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

Sept. 18, 2026

2027 NICE Conference in Brighton, UK April 6-8 2027

by Aimone, Brad

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

Sept. 17, 2026

PhD position in computational neuroscience at University of South Carolina

by Z S

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

Sept. 16, 2026

NITMB Fellowships Call for Applications

by William L. Kath

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

Sept. 16, 2026

Organization for Computational Neurosciences - call for self-nominations to the Board of Directors

by Rubchinsky, Leonid L

Dear colleagues, The Organization for Computational Neurosciences is inviting self-nominations for the election to the OCNS Board of Directors. All members with active OCNS membership status (all dues paid before the application deadline) can self-nominate, provided they: (i) have been a member of OCNS for a minimum of 12 months, or (ii) have attended an on-site CNS conference in the past. Information about the new Directors’ election and how to apply can be found at https://www.cnsorg.org/election-procedures The deadline for application is October 7, 2026. Best regards, Leonid Rubchinsky OCNS Vice President On behalf of the OCNS Nomination Committee *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iu.edu https://lrubchin.pages.iu.edu ***********************

Sept. 16, 2026

Postdoctoral positions in sensory coding and memory - University of Sheffield

by Andrew Lin

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

Sept. 15, 2026

[DEALINE EXTENDED] Workshop on Whole-Brain Models and High-Order Interactions for Brain Health, Palma de Mallorca, Spain

by Rubén Herzog

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

Sept. 15, 2026

NeuroAI Assistant Professor Position at Carnegie Mellon University

by Aran Nayebi

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

Sept. 14, 2026

2 postdoc and 1 phD positions on computational mechanisms of human perception (Alex Hyafil & Chris Summerfield, Barcelona)

by Alexandre Hyafil

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

Sept. 14, 2026

COSYNE 2027: Meeting announcement, Abstract submission is now open

by Tomas Hromadka

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

Sept. 11, 2026

NeuralNet 2026, Nov 25th-27th, Paris – Registration and Abstract Submission Now Open

by Arthur Leblois

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

Sept. 11, 2026

Subject: Postdoc Position: Predicting Epilepsy from iEEG (University of Göttingen)

by Tristan Manfred Stöber

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

Sept. 11, 2026

Postdoctoral and PhD Opportunities in Infant NeuroAI at Trinity College Dublin

by ainetdineen＠gmail.com

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

Sept. 11, 2026

Call For Papers - UniReps Workshop in Paris 🔵🔴

by Organizers

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

Sept. 10, 2026