- Comp-neuro - lists.cnsorg.org

search for Assistant Professor in NeuroAI

by xaq＠cmu.edu

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/.

July 13, 2026

2-year Post-doc position on Autonomous Machine Learning / Computational Modeling of Cognitive Development

by Jochen Triesch

The Frankfurt Institute for Advanced Studies (FIAS) is looking for a Postdoctoral Researcher (f/m/d) in the area of: Autonomous Machine Learning / Computational Modeling of Cognitive Development. The primary goal is to develop computational models that autonomously learn abstract representations and models of the world and ways to interact with it in and open-ended fashion from self-motivated physical interactions. Relevant keywords include: autotelic learning, open-ended learning, continual learning, intrinsic motivation, causality, compositionally, hierarchy, modularity. Please find links to some of our recent publications at the bottom. Your profile We are seeking an outstanding and highly motivated postdoc for this position. Applicants should have obtained a PhD in Machine Learning, Cognitive Science, Robotics, or related field. The ideal candidate will have excellent programming and analytic skills and a broad knowledge of machine learning and/or cognitive science. A strong interest in open-ended learning systems and human cognitive development is important. About FIAS The Frankfurt Institute for Advanced Studies (FIAS) is a hub for theoretical and computational research dedicated to solving complex scientific challenges. Our institute is located on the science campus of Goethe University Frankfurt (Campus Riedberg). Our fellows pursue interdisciplinary approaches to address fundamental questions in the various areas of natural sciences with an emphasis on biologically inspired computing. The working language of the institute is English. The position We offer a 2-year fulltime position in the lab of Prof. Dr. Jochen Triesch at the Frankfurt Institute for Advanced Studies (FIAS). Salary is based on TV-H E/13. FIAS is committed to fostering a workplace culture that promotes equality, diversity, and inclusion. We strongly encourage applications from qualified individuals regardless of gender, nationality, ethnic or social origin, religion, disability, age, or sexual orientation. Severely disabled persons with equal qualifications will be given priority. Your application Please submit your application in a single pdf file including: • a cover letter including the (expected) date of your PhD and your desired starting date, • a statement of research interests, • your CV with publication list, • contact information for at least two references. by 8 August, 2026 via our online portal: https://jobapplication.hrworks.de/de?companyId=amb4af72&id=efcd33 For further questions, please contact: Scientific issues: Prof. Dr. Jochen Triesch (triesch(a)fias.uni-frankfurt.de) Administrative issues: Meike Taplik (hr(a)fias.uni-frankfurt.de) -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt Some relevant recent papers: https://ieeexplore.ieee.org/abstract/document/11204381 https://onlinelibrary.wiley.com/doi/full/10.1111/desc.70211 https://link.springer.com/chapter/10.1007/978-3-031-73226-3_4 https://onlinelibrary.wiley.com/doi/full/10.1111/desc.70231 https://www.nature.com/articles/s41467-025-64234-z

July 10, 2026

Workshop at CNS2026: applications of detailed microcircuit models

by Etay Hay

Workshop: Detailed models of brain microcircuit activity and signals in clinical applications July 15, 2026, 9:00am-12:30pm ADT At CNS 2026 conference, Halifax, Canada Speakers: Etay Hay Assistant Professor, Centre for Addiction and Mental Health, University of Toronto Heng Kan Yao Postdoc, Centre for Addiction and Mental Health, University of Toronto Salvador Dura-Bernal Associate Professor, State University of New York (SUNY) Downstate Katharina Duecker Postdoc, Brown University Alexandre Guet-McCreight Postdoc, Centre for Addiction and Mental Health, University of Toronto Brain function is mediated by neuronal microcircuits with specific connectivity between neuron types, and it is increasingly evident that altered microcircuitry underlies deficits in brain disorders such as depression and schizophrenia, and in aging and Alzheimer’s. However, our ability to monitor the microcircuitry in living humans is limited, meriting the use of detailed computational simulations to overcome experimental limitations in linking the microcircuit mechanisms with altered cortical activity, functional deficits and biomarkers in clinically-relevant brain signals. This workshop will showcase the latest efforts from leading groups in large-scale neuronal microcircuit modeling of spiking activity and signals such as EEG and MEG. The workshop will present diverse data-driven microcircuit modeling approaches that integrate neuronal, synaptic and functional data, and the different simulation tools used to generate activity and brain signals from the models. The workshop will highlight clinical applications of the models in establishing target mechanisms for treatment, and estimating microcircuit mechanisms from clinical signals in patient data with machine learning to improve diagnosis. This workshop aims to foster the exchange of methods and ideas, and offer new insights on clinical applications of simulated large-scale cortical microcircuits. CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

July 9, 2026

[jobs] Computational Neuroscientist / Electrophysiology Data Analysis Engineer at MaxWell Biosystems (Zurich, Switzerland)

by Jan Müller

Dear all, We are looking for a Computational Neuroscientist / Electrophysiology Data Analysis Engineer to join MaxWell Biosystems in Zurich, Switzerland. If you enjoy neural data analysis, statistical modeling, MEA-based extracellular electrophysiology, spike sorting, and developing software tools used by neuroscientists around the world, we would love to hear from you. MaxWell Biosystems develops high-density microelectrode array (HD-MEA) platforms for neuroscience research and drug discovery. Our technology combines custom CMOS sensors, FPGA-based acquisition hardware, and the MaxLab Live software platform to record, analyze, and visualize large-scale neural activity at high spatial resolution. As part of our interdisciplinary team, you will help develop the next generation of neural data analysis tools for our platform. Your Mission: - Develop and enhance robust pipelines for neural data analysis, including statistical analysis, spike sorting, and feature extraction - Evaluate and integrate state-of-the-art methods from computational neuroscience, machine learning, and statistics - Collaborate with neuroscientists and electrophysiologists to translate scientific challenges into practical software solutions - Develop APIs and software tools that simplify large-scale electrophysiology data analysis - Help shape the future of our analysis software by contributing your own ideas and technical expertise Your Profile: - Background in computational neuroscience, neuroengineering, or a related field - Hands-on experience analyzing extracellular MEA recordings is required - Experience with statistical analysis and modeling - Strong understanding of neural spike data, extracellular electrophysiology, and neural signal processing - Experience with spike sorting and neural data analysis tools (e.g. SpikeInterface, Kilosort, SpyKING CIRCUS, Phy) is a strong plus - Strong programming skills in Python; experience with C++ is a plus - Familiarity with Linux and scientific software development - Enjoy writing clean, maintainable code - Experience with AI-assisted coding tools (e.g. Claude) is a plus - Excellent communication skills and enthusiasm for working in an interdisciplinary team Why Join MaxWell Biosystems? Join a multidisciplinary team of neuroscientists, software engineers, and hardware developers working on cutting-edge HD-MEA technology for neuroscience research and drug discovery. Your work will directly contribute to software tools used by researchers around the world to analyze large-scale neural recordings. Apply: If this sounds like a role you would enjoy, we would love to hear from you. Please send your CV, a brief cover letter, and relevant transcripts to hr(a)mxwbio.com More details: https://www.mxwbio.com/open-position/computational-neuroscientist-electroph… Best regards, Jan -- Jan Müller, Ph.D. | CTO MaxWell Biosystems AG | Albisriederstrasse 253 | CH-8047 Zurich | Switzerland email: jan.mueller(a)mxwbio.com | web: www.mxwbio.com

July 8, 2026

Multiscale Modeling with MOOSE and Jardesigner at CNS*2026

by MOOSE Neuro

Dear all, We are pleased to announce a hands-on tutorial on *Multiscale Modeling with MOOSE *at CNS*2025! *Saturday, July 11, 2026, 09:00 AM - 12:00 ADT PM, Room : 505* The objective of this tutorial is to familiarize participants with MOOSE, the Multiscale Object-Oriented Simulation Environment (https://mooseneuro.org) a comprehensive simulation platform designed for computational modeling in neuroscience and systems biology. In addition to tutorials on biophysical and biochemical models, we shall showcase new features of MOOSE, including *JARDESIGNER, *a web-based frontend for multiscale modeling. We will illustrate the use of *JARDESIGNER* and MOOSE to build and run spiking neuron models incorporating chemical signaling for neuromodulation and synaptic plasticity on spines. *Speakers:* Dr. Subhasis Ray, Prof. Upinder S. Bhalla, Dr. Bhanu Priya S *Schedule :* *9:00 am - 10:10 am *Hands-on sessions with modelling and simulation in Jardesigner. *10:40 am - 12:00 pm* Building single-neuron models to multiscale neuronal models using Python Scripting in MOOSE. We will also present a poster titled *"JARDESIGNER : Installation-free-in-browser **modeling with signaling and conductances in multicompartment neurons" *on *July 14th, 2026 in Ballroom B2 from 5:00 - 7:00 PM, ADT. * Find the abstract here https://cns2026.sched.com/event/2PxP1/p100-jardesigner-installation-free-in… More details can be found here: https://cns2026.sched.com/ <https://cns2025florence.sched.com/event/24uTo/p252-developments-around-moos…> Please feel free to share this announcement with anyone who might be interested. -- Cheers! Parita Mehta Community Manager for MOOSE *On behalf of the MOOSE team* GitHub <https://github.com/mooseneuro/> | Official website <https://www.mooseneuro.org/> | LinkedIn <https://www.linkedin.com/in/moose-neuro-simulator-064088315/> | X <https://x.com/mooseneurosim> | Bluesky <https://bsky.app/profile/moosesim.bsky.social>

July 8, 2026

Teaching Assistant (TA) applications now open for Simons Computational Neuroscience Imbizo 2027

by Spiros Chavlis

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

July 7, 2026

Postdoctoral Positions in Computational Neuroscience & AI @ EPFL, CH

by Alexander Mathis

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/

July 6, 2026

Postdoc position in the Unit on the Neural Computations in Learning, NIMH

by Langdon, Angela (NIH/NIMH) [E]

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!

July 6, 2026

Re: vision: a community-driven replication initiative for image-related neuroscience

by Alessandro Gifford

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

July 3, 2026

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

by Jorge Almeida

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

July 1, 2026