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Apply Now: EITN EBRAINS Fall School 2025

by DEPANNEMAECKER Damien

Dear All, Applications are now open for the EITN EBRAINS Fall School in Computational Neuroscience 2025, which will take place November 19–28, 2025, in Marseille, France. This intensive course is designed for Master’s students, PhD candidates, and postdocs looking to deepen their expertise in computational neuroscience. 🔹 Application deadline: June 4, 2025 (Anywhere on Earth) All application details, including course topics, required documents, and IBRO fellowship information, are available on our webpage: 🌐 https://www.ebrains.eu/news-and-events/eitn-ebrains-fall-school-2025 We look forward to your applications! Best regards, The EITN EBRAINS Fall School Team 📧 eitn2025(a)proton.me

April 3, 2025

The Canadian Neuroanalytics Scholars (CNS) Program

by Joern Davidsen

The Canadian Neuroanalytics Scholars (CNS) Program The Canadian Neuroanalytics Scholars (CNS) Program is now accepting Notices of Intent for the 2025 recruitment cycle. Up to 10 scholars will be awarded $70,0000 per year for up to two years, plus access to training and mentorship from CNS Program partners. Who is eligible? The applicant must: * Be affiliated with a Canadian post-secondary institution * Have less than 5 years of full-time training after completion of a doctoral degree * Current PhD students can apply if their degree will be completed before the program start date The proposed supervisor must: * Hold a full-time faculty position at a degree-granting research institution in Canada, such as the Hotchkiss Brain Institute (HBI) at the University of Calgary which is one of the Partner Institutes of the CNS Program (potential supervisors in Computational Neuroscience at the HBI can be found here<https://hbi.ucalgary.ca/computational-neuroscience/graduate-specialization/…>) * Conduct research primarily in the field of neuroscience * Only supervise one scholar awarded from this competition; i.e., a supervisor can only be associated with a single applicant NOI Deadline: June 6, 2025 12 pm (noon) MT Interested in learning more? Visit https://www.albertaneuro.ca/funding-programs/canadian-neuroanalytics-schola… This program is made possible by generous funding from the Hilary and Galen Weston Foundation, and from support by our partners at the Hotchkiss Brain Institute, The Ontario Brain Institute and The Neuro. We are pleased to collaborate with Canada's centres for excellence in AI/ML as training partners: Alberta Machine Intelligence Institute (Amii), Vector Institute for Artificial Intelligence, Quebec Artificial Intelligence Institute (Mila). If you have any questions about the program, we would love to hear from you at abneuro(a)ucalgary.ca<mailto:abneuro@ucalgary.ca>. --- Dr. Jörn Davidsen Professor of Physics & Humboldt Research Fellow University of Calgary www.ucalgary.ca/davidsen<http://www.ucalgary.ca/davidsen>

April 2, 2025

2 PhD/postdoc positions in computational/cognitive neuroscience/neuroAI/precision psychiatry in Tübingen

by Trang-Anh Nghiem

Dear All, I am pleased to announce that my research group at the Hertie Institute for AI in Brain Health (Hertie AI, https://hertie.ai/) within the Eberhard Karls University in Tübingen, invites applications for *two PhD students or postdoctoral researchers (f/m/d)*. My group will investigate the neural mechanisms of altered brain dynamics and function in neuropsychiatric disorders, leveraging biophysical whole-brain models personalized to each patient using AI and model inference methods. Research questions for PhD/postdoctoral projects will be chosen from a range of topics in *computational neuroscience / neuro-AI / precision psychiatry / cognitive neuroscience * including: - Whole-brain biophysical modeling of resting-state brain dynamics in neuropsychiatric disorders, personalized to each patient using evolutionary algorithms and simulation-based inference approaches, and - Whole-brain biophysical modeling of brain function and dysfunction in tasks tied to core symptoms of disorders, including sensory salience paradigms *Required qualifications*: MSc in neuroscience, physics, data science, computer science, engineering, applied mathematics or similar. *Preferred qualifications*: experience with whole-brain or neural network modeling, with neuroimaging data analysis, and/or with model inference. Recruited researchers will be expected to start in Sept 2025 for a duration of 3 years with the possibility of extension. Applications will be reviewed on a rolling basis. If interested, please get in touch and send me your CV and statement of research interests (limited to 2 pages). Looking forward to hearing from you! Best, Trang-Anh Nghiem https://scholar.google.fr/citations?user=2PlcVlIAAAAJ&hl=en

April 2, 2025

Postdoctoral and PhD Positions -- modeling/analysis of dopamine in rhythm perception

by Jonathan Cannon

Postdoctoral and PhD Positions in modeling and analyzing intracranial dopamine data from rhythm perception experiments McMaster University, Hamilton Ontario The METRE lab (Models and Experiments in Timing, Rhythm, and Entrainment, metre.mcmaster.ca), led by Jonathan Cannon (joncannon.net) is initiating a collaboration with Dan Bang’s group at University of Aarhus, Denmark, funded by the Human Frontier Science Program. The project will collect electrophysiological and electrochemical data from human basal ganglia during deep brain stimulator implantations while patients listen to and entrain movement to auditory rhythms. Data will be used to evaluate and develop models of the role of dopamine in rhythm perception, movement, and prediction. Dr. Cannon is looking to welcome at least one postdoctoral researcher and multiple PhD students over the next two years. These lab members will help to refine rhythm experiments, analyze intracranial electrical and chemical data, and develop both neurophysiological and interpretive (Bayesian predictive processing, reinforcement learning) models of rhythm perception. They may also pursue other projects at the intersection of computational neuroscience/cognition, experimental neuroscience/psychology, and music perception, in a rapidly growing new Canadian lab focused on rhythm in the brain and what it can tell us about the experience of being human. About the Postdoctoral Position(s) - Duration: One year with possibility of one- or two-year extension - Start Date: ASAP - Salary: $55k CAD, potentially negotiable - Location: McMaster University, Hamilton Ontario, Canada About the PhD Positions(s) - Program: Psychology, Neuroscience, or Computational Science/Engineering - Start Date: Summer or fall 2026 — earlier start date could be discussed - Stipend: Program dependent, top-up negotiable - Location: McMaster University, Hamilton Ontario, Canada Research Environment The METRE lab is a rapidly growing, international group with diverse interests and backgrounds. Graduate students and postdocs generally attend at least one conference per year, which may include computational neuroscience or auditory/music/rhythm-focused conferences. Postdocs will have access to teaching and professional development opportunities through the McCall MacBain Postdoctoral Fellows Teaching & Leadership Program <https://mccallmacbain.mcmaster.ca/>. Hamilton is a family-friendly city with hiking trails everywhere. 1-2hrs to Toronto by car or public transportation. A living costs calculator can be found here: https://www.numbeo.com/cost-of-living/in/Hamilton Application Process *Please submit* a cover letter, a CV, and email addresses for two academic references. We will notify applicants before contacting references. *Send materials by email* to Jonathan Cannon: cannoj9(a)mcmaster.ca *Subject line:* HFSP postdoc/phd positions The postdoc selection process may begin as early as May 1, but feel free to reach out after that! PhD inquiries will be evaluated in fall 2025 except in unusual circumstances, but it’s never too early to establish contact!

April 1, 2025

Reminder for the BrainNet 2025 workshop, end of the week deadline for contributed talk abstracts!

by Pascal Helson

Dear all, This is a reminder for the fourth BrainNet workshop. If you're interested in exploring how analysis of brain data, network science and different imaging methods can explain more about the brain and its functioning, we cordially invite you to attend the BrainNet 2025 in Stockholm, Sweden, from May 5th to 8th. The event is hybrid, you can participate either in person or virtually. For on-site participants, you have until 6th of April 2025 to submit an abstract for giving a contributed talk https://brainnet2025.carrd.co/. The confirmed speakers are: Adrián Ponce-Alvarez, Polytechnic University of Catalonia Roxana Zeraati, Max Planck Institute for Biological Cybernetics Michael Winding, Francis Crick Institute Matthieu Gilson, Faculty of Medicine, Aix-Marseille University Barbara Hollunder, Charité - University Medicine Berlin Jacob Vogel, Lund University Alex Bhogal, UMC Utrecht Andrew Lehr, University Medical Center Göttingen Sacha van Albada, Research center Jülich Lida Kanari, Laboratory for topology and neuroscience, EPFL Grégoria Kalpouzos, Karolinska Institutet Katharina Heining, Karolinska Institutet Annegret Habich, Karolinska Institutet Rodrigo Moreno, KTH Dhrubaditya Mitra, Nordita, Stockholm University Josefine Waldthaler, Karolinska Institutet This is a unique opportunity to connect with the experts and the participants as the event is structured with ample time for discussions. You can find all the details – including the preliminary schedule, speaker list and abstracts, and registration link – on the BrainNet 2025 webpage at https://brainnet2025.carrd.co/. We look forward to seeing you there! Please distribute the link in your networks for anyone who might be interested in attending. Best regards, The BrainNet 2025 Organizing Committee: Pascal Helson, KTH Arvind Kumar, KTH Henri Riihimäki, Nordita, Stockholm University Jason Smith, Nottingham Trent University Gonzalo Uribarri, KTH Sarah Vandenbulcke, KTH

April 1, 2025

Postdoc/student workshop at Washington University in St Louis

by Goodhill, Geoffrey

Opportunity for postdocs and senior graduate students! The Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St. Louis invites applications from postdocs and senior graduate students, who are using primarily theoretical and computational techniques to study the principles of brain organization and function, for its third Computational Neuroscience Next Generation symposium, September 15-16th 2025: https://ctcn.wustl.edu/2025-next-gen-symposium The CTCN will pay travel expenses for successful applicants. Participants will engage with researchers at CTCN-participating departments over two days, including: - Presenting their work during the symposium, which will also feature leading WashU neuroscientists. - One-on-one meetings with faculty. - Informal discussions with the Washington University computational and theoretical neuroscience community. Being selected as a Next Generation Symposium speaker is an exciting opportunity s to share your research with Washington University computational neuroscientists, to receive feedback, to explore postdoctoral opportunities including CTCN postdoctoral fellowships (https://ctcn.wustl.edu/postdoc-fellows) and to form professional and intellectual relationships with peers, mentors and potential future collaborators. The application form is available at https://ctcn.wustl.edu/next-gen-symposium. The application deadline is May 16th. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 4370 Duncan Ave. St Louis, MO 63110 g.goodhill(a)wustl.edu<mailto:g.goodhill@wustl.edu> https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

April 1, 2025

Postdoc positions in computational neuroscience and biology the Mathematical and Computational Biosciences Collective at NJIT

by Rotstein, Horacio G

Research at the interface of theory/computations & experiments *Position Summary:* Applications are invited for a postdoctoral position in the field of mathematical and computational biology in the recently created Mathematical & Computational Biosciences Collective (MCBC) at the New Jersey Institute of Technology. The position is initially for one year, with the possibility of renewal for up to three years, subject to satisfactory performance and the availability of funding. The start date is September 1, 2025, or earlier. *Essential Functions:* Conduct research in mathematical and computational biology at the interface of theory and experiments, take part in seminars, group meetings, journal clubs, help mentor students, and other research activities of the MCBC and the associated Departments of Mathematical and Biological Sciences. The ideal candidate would have an interest in building successful interactions with experimental scientists and experience in one or more of the following areas: (i) neuroscience, (ii) systems biology / biochemical systems, (iii) collective behavior, and (iv) machine learning / artificial intelligence. The successful candidate will be co-mentored by a theorist and an experimentalist and will have the opportunity to interact with researchers in the pharmaceutical industry, IBM Research, and other industrial partners. In addition to research duties, the Postdoctoral Fellow might have the opportunity to teach one course per semester, subject to availability. *Prerequisite Qualifications:* A candidate should hold a PhD in the areas of applied mathematics, computer science, data science, quantitative biology, or other relevant disciplines. *How to Apply:* Please email (1) a cover letter with a brief research statement, (2) a CV, and (3) names and email addresses of three references to Profs. Casey Diekman (diekman(a)njit.edu) and Horacio G. Rotstein (horacio(a)njit.edu) with the subject line “MCBC Postdoctoral Fellow Application”.

March 31, 2025

Workshop on AI / ML for the analysis of single-cell spatial transcriptomics 15-17 Oct 2025 Lyon (France)

by Hugues Berry

///// Registration to the workshop is now open ///// ///// as well as a call for contributed talks and live sessions ///// 15th-17th OCTOBER, 2025 A 2.5 day workshop on the use of artificial intelligence and machine learning of the analysis of single-cell spatial transcriptomics, in Lyon, France. Information, registration and submissions at https://ai4singlecell.sciencesconf.org/?lang=en https://ai4singlecell.sciencesconf.org/ Confirmed invited speakers: Xiang Zhou <https://xiangzhou.github.io/>, University of Michigan, Ann Arbor, USA Per Uhlén <https://ki.se/en/research/research-areas-centres-and-networks/research-grou…>, Karolinska Institute, Stockholm, Sweden Genevieve Stein O’Brien <https://www.steinobrienlab.org/>, Johns Hopkins University, USA Sergio Sarnataro <https://scholar.google.com/citations?user=FJD-UagAAAAJ&hl=it>, Ecole Normale Supérieure, Lyon, France Yvan Saeys <https://saeyslab.sites.vib.be/en>, Ghent University, Belgium Marianna Rapsomaniki <https://www.chuv.ch/en/bdsc/research/our-groups/ai-ml-for-biomedicine>, Lausanne University Hospital, Switzerland Franck Picard <https://franckpicard.github.io/>, Ecole Normale Supérieure, Lyon, France Guillaume Marcy <https://scholar.google.com/citations?hl=en&user=BZ9YK6gAAAAJ&view_op=list_w…>, Université Claude Bernard Lyon 1, France Laura Cantini <https://research.pasteur.fr/en/member/laura-cantini/>, Pasteur Institute, Paris, France Quentin Blampey <https://github.com/quentinblampey>, Paris-Saclay University, France The program will feature both general introductory talks and expert-level methodology-oriented presentations. As well as live sessions demos of application packages for concrete illustration of use cases! This event is organized by Université Claude Bernard Lyon 1 <https://www.univ-lyon1.fr/en>, with support from the Spatial-Cell-ID <https://spatial-cell-id.ens-lyon.fr/> national equipment.

March 31, 2025

Workshop on Modern Applications of Control Theory and Reinforcement Learning (to complex adaptive systems) 20-21 May, 2025 at CWI, Amsterdam, Netherlands

by Aditya Gilra

Dear all, Announcing an exciting Workshop on Modern Applications of Control Theory and Reinforcement Learning, particularly to complex adaptive systems including neuroscience:https://www.cwi.nl/en/events/cwi-research-semester-programmes/workshop-on-modern-applications-of-control-theory-and-reinforcement-learning/ Applications of control theory and reinforcement learning are increasingly diverse. This workshop aims to foster the transfer of methods of control and RL across upcoming domains, especially complex adaptive systems such as climate-socio-economics, neuroscience, and similar.Dates: 20-21 May 2025Venue: CWI (Research Institute for Mathematics and Computer Science), Amsterdam, NetherlandsRegistration deadline: 1 May 2025Posters are welcome! We have distinguished speakers covering a wide variety of application domains:Diederik Roijers, VU Brussel, BelgiumElena Rovenskaya, International Institute for Applied Systems Analysis (IIASA), AustriaHerke van Hoof, University of Amsterdam, NetherlandsMarcel van Gerven, Radboud University Nijmegen, NetherlandsMarta Kwiatkowska, University of Oxford, United KingdomSander Bohté, CWI, University of Amsterdam, NetherlandsSander Keemink, Radboud University Nijmegen, NetherlandsTimm Faulwasser, University of Stuttgart, GermanyWolfram Barfuss, University of Bonn, Germany Please register as soon as possible!https://www.cwi.nl/en/events/cwi-research-semester-programmes/workshop-on-modern-applications-of-control-theory-and-reinforcement-learning/ This workshop is part of a research semester programme on Control Theory and Reinforcement Learning at CWI, Amsterdam, NL. It follows a Spring School (17-21 March - deadline 10 March) and a Workshop on Themes (24-25 March - deadline 1 March) and is followed by an upcoming Workshop on Theory (19-20 June). Download and advertise the poster. Looking forward to seeing you!On behalf of the organizers.

March 31, 2025

[jobs] Postdoc Position in Cognitive Computational Neuroscience at TU Dresden

by Kiebel, Stefan

Dear colleagues, We are hiring a Postdoctoral Research Associate at the Chair of Cognitive Computational Neuroscience, TU Dresden (Germany). The position is part of a DFG-funded project on neurocomputational mechanisms of decision-making through forward planning and state abstraction. Project highlights: * Modeling human learning and decision-making using probabilistic approaches * Analyzing behavioral and fMRI data * Collaborative work with experimentalists and theorists * Opportunity to design and run experiments We’re looking for: * A strong background in physics, computer science, mathematics, or related fields * Programming skills in Python * Interest in cognitive neuroscience and modeling * Experience with probabilistic programming (PyMC, Stan, Pyro) is a plus 🗓️ Start date: July 1, 2025 (or soon after) 📅 Application deadline: April 30, 2025 📍 Location: TU Dresden, Germany 💼 Duration: Until Oct 2027, with extension possible This is a great opportunity for quantitatively strong researchers interested in cutting-edge cognitive neuroscience. Even applicants with limited neuroscience background are encouraged to apply if they have strong modeling skills. For details, please see the full job ad https://tud.link/9d2n92 or reach out to julia.herdin(a)tu-dresden.de<mailto:julia.herdin@tu-dresden.de>. Best regards, Stefan Kiebel TU Dresden – Chair of Cognitive Computational Neuroscience -- Prof. Dr. rer. nat. Stefan J. Kiebel Professur für Kognitive Computationale Neurowissenschaft Technische Universität Dresden 01062 Dresden https://tu-dresden.de/mn/psychologie/ifap/ccns

March 31, 2025