July 2026 - Comp-neuro - lists.cnsorg.org

Teaching Assistant (TA) applications now open for Simons Computational Neuroscience Imbizo 2027
by Spiros Chavlis July 7, 2026

July 7, 2026

Dear friends and colleagues, We are seeking passionate post-doctoral or senior PhD researchers to join our team as Teaching Assistants (TAs) for the upcoming Simons Computational Neuroscience Imbizo, a deeply immersive summer school held in Noordhoek, Cape Town, South Africa. Apply here: https://imbizo.africa/ta-application/ Application Requirements Before you begin your application, please ensure you have the following ready: A brief CV: 2-4 pages maximum, uploaded as a PDF. A motivational statement: A short text (max 600 words) outlining your scientific interests and background, why you would be a good fit, and your preferred topics for teaching tutorials and supervising student projects. Reference details: The name and contact information of one referee. (Note: Your referee will automatically receive an email prompt once you submit. Please inform them to check also their spam emails). Important Dates: Applications Close: 1st September 2026 at 20:00 UTC Imbizo Dates: 27th August - 16th September 2027 About the Imbizo: The school hosts 27-28 students for approximately three weeks of intensive lectures, tutorials, projects, and forging new friendships. All this takes place on Noordhoek beach, nestled between the mountain and the ocean, a truly spectacular location. The Imbizo is a special experience. Students are totally immersed in academic, social, touristic, and cultural activities, which has historically resulted in previous cohorts of students and TAs becoming very close, both personally and scientifically. This is fantastic, as a major goal of the Imbizo project is to help young African researchers grow their academic peer and friend groups. The Role of a TA Academic Responsibilities: (a) Design and run one afternoon tutorial during the first week of the school. Each TA will teach a different topic, chosen collaboratively among the TA team and the Academic Directors, to provide students with broad exposure to methods in computational neuroscience, (b) Supervise a group of approximately 5 students for their project work during the last two weeks of the school, and (c) Assist the organizing committee in processing student applications in early 2027. Social Responsibilities: TAs are integral to the daily life of the school. In addition to academic support, you will be expected to foster good social interactions, spark academic discussions, and help ‘shy’ students meet faculty. TAs act as the ‘social glue’ of the Imbizo, helping to notice and support students who may be feeling ill, having difficulties fitting in, or struggling with the workload. To fulfill these roles, TAs are required to attend all school meals and activities. What We Provide We cover direct, economy-class flights to Cape Town, as well as all board and lodging for the duration of the school. A separate call for student applications will follow in January 2027. Please reach out if you have any questions! Please spread the word. Thank you in advance. On behalf of the #Imbizo2027 Organizing committee Spiros Chavlis Twitter: @CompNeuroImbizo Bluesky: imbizo.bsky.social email: info [AT] imbizo [DOT] africa

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Postdoctoral Positions in Computational Neuroscience & AI @ EPFL, CH
by Alexander Mathis July 7, 2026

July 7, 2026

The A. Mathis Group for Computational Neuroscience and AI (CNAI) is seeking two postdoctoral fellows to join our team working at the intersection of artificial intelligence and neuroscience. Our research is built around three intertwined questions: how to measure and understand behavior with AI, how brains and embodied agents learn to control the body, and how the brain builds a sense of its body through proprioception. We develop widely-used open-source tools (e.g., DeepLabCut), train biomechanically realistic embodied agents (e.g., MuscleMimic, Kinesis, Arnold), and build AI-based models of sensorimotor processing. We are recruiting two postdocs: 1) Postdoc in Computer Vision & AI for Behavior Analysis 2) Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities For both positions: * Conduct innovative, independent research aligned with the lab's mission and the candidate's interests * Contribute to the lab's open-source software, datasets, and benchmarks * Mentor PhD and Master's students and contribute to the lab's collaborative culture * Engage with collaborators across EPFL and beyond (neuroscience labs, ecology partners, clinical collaborators) * Present research at international conferences and workshops Position 1: Computer Vision & AI for Behavior Analysis * Contribute to the creation of behavioral datasets for groups of animals * Develop methods for animal and environment reconstruction * Develop methods for behavior understanding from multi-view video and audio recordings * Advance multimodal large language models for fine-grained action understanding and reasoning * Help shape the next generation of DeepLabCut and related open-source tools used by labs worldwide. Position 2: Embodied AI * Train muscle-actuated, biomechanically realistic agents to perform skilled motor tasks using reinforcement learning, imitation learning, and curriculum methods; * Develop new methods for full-body musculoskeletal control * Probe links between learned control policies and neural representations of movement in collaboration with experimental labs Common requirements: * PhD (completed or close to completion) in computer science, applied mathematics, computational neuroscience, robotics, physics or a closely related field; * Strong publication record in relevant venues; * Solid programming skills in Python and a modern deep-learning framework * Excellent communication skills in spoken and written English; * Self-motivated, collaborative, and committed to open science and reproducible research; * Demonstrated ability to work both independently and as part of a team. More details and ways to apply: https://careers.epfl.ch/job/Gen%C3%A8ve-Postdoctoral-Positions-in-Computati… Lab website: https://cnai.epfl.ch/

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Postdoc position in the Unit on the Neural Computations in Learning, NIMH
by Langdon, Angela (NIH/NIMH) [E] July 6, 2026

July 6, 2026

We have an opening for a postdoctoral fellow to join my lab in the Intramural Research Program of the National Institute of Mental Health at the NIH campus in Bethesda, MD. Research in the lab is focused on the computational neuroscience of reward prediction and learning. Broadly, we study how timing, inference processes and goal selection modulate learning in reward-guided tasks in animals and humans, and how these processes are supported by neural activity in the reward learning circuits of the brain. Our goal is to understand how reward learning is altered in compulsive behaviors, addiction, and motivational deficits in disorders of mental health. We are looking for a postdoc who will use approaches from dynamical systems theory, reinforcement learning and Bayesian inference to understand how goal-directed behaviors and learning are regulated in neural circuits. The ideal candidate thinks about reward prediction and learning as dynamic processes unfolding in time and across experience, is fluent in both the theoretical and empirical approaches used in systems, behavioral and cognitive neuroscience, and aims to link normative models of behavior to the dynamics of neural populations in the reward learning circuits of the brain. We are a computational group that works with a broad network of collaborating labs spanning rodent, NHP and human studies, and would suit a computational neuroscientist excited to work at the intersection of theory and experiment in an interdisciplinary research environment. An overview of research training at NIH can be found here: https://www.training.nih.gov/research-training/ Interested candidates should have strong quantitative and programming skills, fluency with dynamical systems theory (and ideally reinforcement learning and/or Bayesian inference), demonstrated familiarity with neuroscience and behavioral research, and a record of scientific contributions in an area relevant to research in the lab. Interested candidates should send a brief research statement (1-2 paragraphs) and a cv to Dr Angela Langdon (angela dot langdon at nih dot gov). Informal enquiries are welcome!

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Re: vision: a community-driven replication initiative for image-related neuroscience
by Alessandro Gifford July 3, 2026

July 3, 2026

Dear colleagues, We are excited to announce re:vision, a community-driven initiative for replicating and generalizing findings in image-related neuroscience and we'd love for you to take part. Condition-rich fMRI datasets have transformed how we study visual representations, but they rest on two assumptions: that their stimuli sample natural images broadly, and that findings generalize across that distribution. These assumptions are rarely tested directly. re:vision sets out to change that. The initiative is built on the new LAION-fMRI dataset: densely-sampled 7T fMRI responses to 25,000+ natural images, designed to cover the space of natural images at exceptional scale and diversity. Participants pick a published finding, replicate it using LAION-fMRI, and test whether it holds and generalizes. No new data collection is required, all data, preprocessed betas, and annotations are provided through our Python package. Anyone with an interest in neuroscience can participate in teams of 1 - 3 researchers. From the PI that wants to get their hands dirty again to the master's student looking for a thesis project. We advise that at least one member of your replication team has experience with fMRI analysis. Why participate? - Be part of the consortium paper — every team that submits a valid report is given the chance to co-author the final publication. - Compete for cash prizes: a $2,500 Replication Award, a $2,500 Generalization Award, and a $1,000 Facilitator Award. Key dates: - Sign-up & proposal: by September 15th 2026 - Report submission: by February 15th 2027 You can learn more, browse suggested studies, and sign up at re-vision-initiative.org. Please feel free to forward this to colleagues or students who might be interested. Kind regards the re:vision team re:vision team: Luca Kämmer, Justus-Liebig-University Gießen & Max Planck Institute CBS Josefine Zerbe, Justus-Liebig-University Gießen & Max Planck Institute CBS Johannes Roth, Justus-Liebig-University Gießen & Max Planck Institute CBS Alessandro Gifford, Freie Universität Berlin Apurva Ratan Murty, Georgia Institute of Technology Iris Groen, Amsterdam University Michael Bonner, Johns Hopkins University Margaret Henderson, Carnegie Mellon University Radoslaw Cichy, Freie Universität Berlin Martin Hebart, Justus-Liebig-University Gießen & Max Planck Institute CBS

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[REMINDER] Fourth edition of the Seeing and Acting Workshop (SAW). University of Coimbra, Portugal, 24-26 September 2026
by Jorge Almeida July 1, 2026

July 1, 2026

Dear colleague, (Sorry for the cross posting and mass email) *Registration* and *abstract submission* are now *open* for the fourth edition of the *Seeing and Acting Workshop (SAW <https://www.uc.pt/cogbooster/saw/2026/>)* that will take place at the Faculty of Psychology and Educational Sciences of the University of Coimbra, *September 24-26, 2026 in Coimbra, Portugal*. Please register here: SAW 2026 - Seeing and Acting Workshop | Eventos | Universidade de Coimbra <https://ucstore.uc.pt/event/saw-2026-seeing-and-acting-workshop-14/register> For the fourth edition of SAW, we have, once again, an exciting and stimulating group of Invited Speakers: · *Marina Bedny*, Johns Hopkins University, USA · *Jeffrey Bowers*, University of Bristol, , UK · *Tim Kietzmann*, University of Osnabrück, Germany · *Robeta Klatzky*, Carnegie Mellon University, USA · *Kami Koldewyn*, Bangor University, UK · *Marius Peelen*, Radboud University, Netherlands · *Elizabeth Tibbetts*, University of Michigan, USA The goal of SAW is to provide a forum for cognitive science/neuroscience researchers from a range of perspectives who are interested in Perception and Action, broadly construed, to come together to discuss their research and develop new directions and collaborations. The format of the workshop is intended to encourage extensive discussion among participants. To this end, we have scheduled only a small number of invited speakers, and there are no concurrent talks. In addition to the individual seminars, there will be a poster session for students, postdocs and other researchers to present their work. *Abstract submission for posters closes on July 30, 2026*. The five best abstracts whose first author is a student or postdoc will receive a 200 euro award sponsored by NeuroVerse. Registration for the workshop will be open in a couple of weeks. To register, submit a poster abstract, or for more information, please visit: https://www.uc.pt/cogbooster/saw/2026/ and SAW 2026 - Seeing and Acting Workshop | Eventos | Universidade de Coimbra <https://ucstore.uc.pt/event/saw-2026-seeing-and-acting-workshop-14/register> Please note that there are a limited number of places (~120), which will be assigned on a first come, first served basis. To secure your place, please register as soon as possible. Note that you can register now and submit an abstract later (but before the July 30, 2026 deadline). SAW is powered by the ERA Chair CogBooster, and by the Faculty of Psychology and Educational Sciences of the University of Coimbra, Portugal. Workshop Organizers: Jorge Almeida, Alfonso Caramazza, Paul Downing, Mel Goodale, Zoe Kourtzi, Angelika Lingnau, and Isabel Pavão Martins

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