- Comp-neuro - lists.cnsorg.org

Shanahan Foundation Fellowship at the Interface of Data and Neuroscience

by Anton Arkhipov

Dear Colleagues, We are pleased to announce this year’s application cycle for The Shanahan Foundation Fellowship at the Interface of Data and Neuroscience, a three-year fellowship program aiming to bring fresh perspectives from diverse technical backgrounds to the field of neuroscience. The program is co-hosted by the Allen Institute and the University of Washington, through the Computational Neuroscience Center. It is directed by Dr. Christof Koch at the Allen Institute and Dr. Adrienne Fairhall at UW. Fellows choose a co-mentor from each of the two institutions and will be employed by the Allen Institute as a Scientist (salary starting at $106,780 annually), with an affiliate postdoctoral appointment at UW. Accepted fellows propose their own research project(s), with access to the Allen Institute's wealth of structural, genomic, and functional data collected over the past 15 years (brain-map.org<https://brain-map.org>). This unique opportunity allows fellows to ground their theories in rich empirical resources, potentially inspiring novel analyses, visualizations, and predictions that could subsequently be empirically tested. Each fellow will have the opportunity to mentor a fully funded UW undergraduate or postbaccalaureate research assistant who helps with their research for 3-12 months. Fellows also have access to career development activities through the University of Washington’s Computational Neuroscience Center. Fellows will receive an intensive orientation through the two-week long Summer Workshop on the Dynamic Brain<https://alleninstitute.org/events/summer-workshop-on-the-dynamic-brain-2025/> at UW’s Friday Harbor Laboratory on San Juan Island. We are seeking candidates for this three-year program. Up to three fellows will be selected to begin in Fall 2026. Applicants must be Ph.D.s (or equivalent) in a quantitative field such as computer science, electrical engineering, physics, or mathematics with a background in statistical, computational and machine learning methods. Ph.D. should have been awarded in the last 3 years. No previous experience in neuroscience is required. Applications are due by December 1st, 2025. More information can be found at the Shanahan Foundation website.<https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda…> If you have questions, please contact us at shanahan.fellow(a)alleninstitute.org<mailto:shanahan.fellow@alleninstitute.org> Best regards, Anton. Anton Arkhipov Investigator, Allen Institute antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org> brain-map.org<https://portal.brain-map.org/>

Sept. 18, 2025

SNUFA 2025 - Abstract submission closing soon

by Friedemann Zenke

This is a friendly reminder that the SNUFA 2025 abstract submission closes soon (deadline Sept 26, 2025). SNUFA 2025 will take place on November 5-6, 2025 (online). See https://snufa.net/2025 for details. This year's invited speakers are Elisabetta Chicca (University of Groningen), Jason Eshraghian (UC Santa Cruz), Tomoki Fukai (OIST), and Chengcheng Huang (University of Pittsburgh). Like every year, the workshop brings together researchers in computational neuroscience, machine learning, and neuromorphic engineering to present their work and discuss how to translate these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We aim to have a manageable number of talks with ample discussion time. Attendance is free, but registration is required. Abstract submission deadline: September 26, 2025 (anywhere on earth) SNUFA 2025 is brought to you by David Kappel, Julijana Gjorgjieva, Dan Goodman, and Friedemann Zenke --- https://snufa.net/2025 Powered by www.world-wide.org/Neuro/

Sept. 17, 2025

Postdoctoral Position in Applied Mathematics & Computational Neuroscience at Oxford

by Lida Kanari

Dear all, I am pleased to share that I am recruiting a *Postdoctoral Research Associate* to join my group at the *Mathematical Institute, University of Oxford*. This is a 1-year, fixed-term position (UKRI MRC funded <https://gtr.ukri.org/projects?ref=MR%2FZ504804%2F1>) with the possibility of renewal, as part of the project “Algebraic topology bridging the gap between single neurons and networks”. The start date is flexible between *January and June 2026* and the deadline for applying is *October 13th*. My group <https://www.maths.ox.ac.uk/people/lida.kanari> works at the intersection of topological data analysis, applied mathematics, and computational neuroscience, with a focus on bridging scales from single neurons to networks. The successful candidate will have the opportunity to conduct independent and collaborative research within Oxford and with international partners, and to contribute to the vibrant OCIAM community. Full details and the application portal can be found here <https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=…> . Please circulate this to anyone who may be interested! Best wishes, Lida Kanari

Sept. 17, 2025

(16th Sept 2pm CET) 4th SMILES Workshop on Sensorimotor Interaction, Language, and Embodiment of Symbols

by Xavier Hinaut

🚀 Join us onsite or online for the 4th SMILES Workshop! Join us for the 4th SMILES Workshop on Sensorimotor Interaction, Language, and Embodiment of Symbols — an interdisciplinary event exploring how low-level sensorimotor interactions give rise to high-level symbolic communication. 🔗 Workshop website: https://sites.google.com/view/smiles-workshop/home Register here for online accesss: https://forms.gle/VbncefzfvBCYHtvZ9 📅 Date: September 16, 2025 🕑 Time: 2:00 – 6:00 PM (CET) 🌐 Part of: ICDL 2025 – International Conference on Developmental Learning 🧠 Topics include: • Sensorimotor learning • Emergent communication • Gesture chunking • Symbol grounding • Compositional & hierarchical representations • Language in brains & machines Linked-in post: https://www.linkedin.com/posts/xavierhinaut_smiles2025-icdl2025-cognitivesc… Best, Xavier Hinaut, Laura Cohen and Alex Pitti Xavier Hinaut Inria Research Scientist — News! —> Next Hackathon on AI, Robots and CogSci: « Hack1robo », October 2025, Bordeaux, France Register on mailing-list, linked-in or instagram to stay tuned! https://sites.google.com/view/hack1robo/accueil https://www.instagram.com/hack1robo/ — www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- — Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

Sept. 15, 2025

Postdoc position computational tractography, neuroinformatics and disease

by Franco Pestilli

*Postdoctoral Training Opportunities in Clinical Neuroscience and Neuroinformatics**The University of Texas at Austin | Dell Medical School | Departments of Psychiatry, Psychology, and Neuroscience* We invite applications for two T32-funded postdoctoral fellowship positions at The University of Texas at Austin, supported by the National Institute on Alcohol Abuse and Alcoholism (NIAAA). These positions offer an exceptional opportunity to build a career at the interface of clinical neuroscience, neuroinformatics, and open science. Fellows will join a collaborative project investigating white matter development and trajectories in bipolar disorder and their relationship to clinical outcomes and risk for alcohol use problems. Research will involve diffusion-weighted MRI, tractography, functional MRI, machine learning, and longitudinal modeling, alongside opportunities for clinical and behavioral data collection, including placebo-controlled alcohol administration paradigms. This T32 program provides outstanding career development and mentoring. Postdoctoral fellows will train with Dr. Elizabeth Lippard (Dell Medical School, Department of Psychiatry, whose work integrates clinical neuroscience and psychiatric outcomes) and Dr. Franco Pestilli (Departments of Psychology and Neuroscience, a leader in neuroinformatics, diffusion MRI, and open-science infrastructure, see brainlife.io). Both investigators have a strong record of training fellows who have gone on to independent faculty careers at leading universities and to senior scientific and technical roles in top industry settings. This environment is designed to provide not only technical expertise but also the mentorship, visibility, and collaborative network necessary to launch a successful independent career. Applicants should send a cover letter describing their motivation for applying and a curriculum vitae to: Dr. Elizabeth Lippard (Elizabeth.Lippard(a)austin.utexas.edu) Dr. Franco Pestilli (pestilli(a)utexas.edu) Positions are available immediately and will remain open until filled. FRANCO PESTILLI, Ph.D. | Professor The University of Texas at Austin Psychology <https://liberalarts.utexas.edu/psychology/index.php> | College of Liberal Arts <https://liberalarts.utexas.edu/> Neuroscience <https://neuroscience.utexas.edu/> | College of Natural Sciences <http://cns.utexas.edu/> pestilli(a)utexas.edu | web <https://liberalarts.utexas.edu/psychology/faculty/fp4834> | Laboratory <https://pestillilab.github.io/> Director, brainlife.io Director of Data Technology, mesoscale-connectivity.org <https://www.mesoscale-connectivity.org/> Director, braindatagovernance.org Chair, Infrastructure Committee INCF.org <https://incf.org/about/governance/infrastructure-committee-ic> Director, Brain Imaging Data Structure (BIDS) Connectivity Project <https://pestillilab.github.io/bids-connectivity/> Director, The Axonal Projectome Exchange Data Coordination Center

Sept. 15, 2025

Assistant Professor in Cognitive Sciences at UC Irvine

by Anna Leshinskaya

Dear colleagues, The Department of Cognitive Sciences at the University of California, Irvine (UCI) seeks an innovative researcher for a tenure-track assistant professor position with an anticipated start date of July 1, 2026. We seek a researcher whose work combines the following two elements. First, the research is empirical and addresses substantive questions in human cognition (e.g., perception, memory, decision making). Second, the lens of analysis is informed by computational modeling including cognitive modeling, computational neuroscience or data science. We are particularly interested in candidates whose research uses behavioral experiments and AI approaches. This can include: (1) using AI as a model of human cognition to advance cognitive theory; (2) using cognitive tools and theories to scientifically understand neural networks; and (3) empirical work on human-AI interaction. AI models can include deep neural networks of vision or language, reinforcement learning systems, or others. UCI offers strong interdisciplinary collaborations across cognitive science, neuroscience, computer science, statistics, and engineering and is well-positioned to support research in areas such as robotics, neuroscience, and human-AI interaction. The successful candidate will build an independent research program while contributing to teaching, mentoring, and service. Learn more about our department and the university at: https://www.cogsci.uci.edu/. For full consideration, applications must be completed by November 15, 2025. Priority will be given to applications received by this date, but we will continue reviewing qualified candidates until the position is filled. Further information including the application can be found at: https://recruit.ap.uci.edu/JPF09896.

Sept. 13, 2025

Postdoctoral position part of the Simons Collaboration in Ecological Neuroscience at NYU

by Cristina Savin

The Artificial and Biological Computation lab at NYU has an opening for a Postdoctoral Research Fellow in Computational Neuroscience/Machine Learning. Project: The fellow will work as part of the theory and data science team in the new Simons Collaboration in Ecological Neuroscience <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.simonsfoundation.o…> focuses on the principles of learning internal models of the world in the service of complex behavior. The position offers a unique opportunity to conduct high-impact, interdisciplinary research at the interface of machine learning, data science and neuroscience. Qualifications: PhD in Computational Neuroscience, machine learning or related fields. Strong background in machine learning and programming (Python). Of particular interest are candidates with previous research experience in reinforcement learning, probabilistic machine learning, and/or statistical methods for neural data analysis. Strong record of productivity as evidenced in past publications Strong motivation & ability to work independently and collaboratively in a multidisciplinary environment. Opportunities: Collaborate closely with a world-leading international research team with possibility of across lab visits Access to state-of-the-art computing resources. The opportunity to participate in the design of experiments and access to unique multi-species neuroscience datasets Application: To apply please email csavin(a)nyu.edu <mailto:csavin@nyu.edu> your CV, contact details of at least 2 references, and a brief (one page maximum) description of why are you interested in the position and how your expertise fits the call. Best CS _____________ Dr. Cristina Savin Assoc.Prof. in Neural Science and Data Science Director of Graduate Studies and Admissions for PhD in the Center for Data Science New York University

Sept. 12, 2025

Postdoctoral Research Fellow Position at Stanford University

by Yu Zhang

*Postdoctoral Research Fellow Position in Computational & Translational Neuroscience* *Stanford University, USA* The Stanford Precision NeuroIntelligence Laboratory (SPNI Lab) has an opening position for Postdoctoral Research Fellow in Computational & Translational Neuroscience. *Position description:* The fellow will work on developing and applying advanced machine learning and deep learning methods for multimodal brain imaging (e.g., MRI, EEG) and cognitive/behavioral data analysis with the goal of discovering data-driven neural biomarkers for precision medicine in brain disorders. The position offers a unique opportunity to conduct high-impact, interdisciplinary research at the interface of machine learning, data science, neuroscience, and clinical translation. *Qualifications:* - PhD in Biomedical/Electrical Engineering, Computer Science, Neuroscience, or related fields. - Strong background in machine learning and programming (Python and/or MATLAB). - Excellent quantitative and analytical skills. Strong written and interpersonal communication skills. - Prior research experience in neuroimaging, computational neuroscience, or related fields, with publications in top-tier journals or conferences, is highly desirable. - Strong motivation & ability to work independently and collaboratively in a multidisciplinary environment. *Opportunities:* - Collaborate closely with world-leading neuroscience and clinical teams at Stanford University. - Access to large-scale clinical and neuroimaging datasets and state-of-the-art computing resources. - Comprehensive training in machine learning, neuroscience, and precision medicine, with mentorship tailored to foster independence and career development. *Stanford University:* Stanford University is a world-leading research institution, consistently ranked among the top universities globally. The university offers an unparalleled academic environment with cutting-edge facilities, vibrant interdisciplinary collaborations, and a diverse intellectual community. Its location in the heart of Silicon Valley provides unique opportunities for innovation and cross-sector partnerships. *Application:* Interested candidates should send their CV, a cover letter describing research accomplishments and interests, writing samples (e.g. published lead-author papers or preprints), a link to code examples, and 2-3 references to Dr. Yu Zhang (yzhangsu(a)stanford.edu) Application review begins immediately and will continue until the position is filled. We are looking forward to hearing from you! -- Yu Zhang, PhD Assistant Professor Department of Psychiatry and Behavioral Sciences Stanford University | School of Medicine Palo Alto, CA 94304 Stanford Precision NeuroIntelligence Lab <http://spnilab.weebly.com/> Email: yzhangsu(a)stanford.edu

Sept. 12, 2025

University of Toronto: Assistant Professor – Artificial Intelligence in Psychological Science

by Dirk Bernhardt-Walther

*Assistant Professor – **Artificial Intelligence in Psychological Science* *Job posting* The Department of Psychology in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time tenure stream faculty position in the area of Artificial Intelligence in Psychological Science. The appointment will be at the rank of Assistant Professor with an anticipated start date of July 1, 2026. This search aligns with the University’s commitment to strategically and proactively promote diversity among our community members (Statement on Equity, Diversity & Excellence <https://governingcouncil.utoronto.ca/secretariat/policies/equity-diversity-…>). Recognizing that Black, Indigenous, and other Racialized communities have experienced inequities that have developed historically and are ongoing, we strongly welcome and encourage candidates from those communities to apply. Candidates must have earned a PhD degree in Psychology or a related area by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. We seek candidates whose research and teaching interests complement and enhance our existing departmental strengths <https://www.psych.utoronto.ca/>. The successful candidate will be expected to pursue innovative and independent research, and to establish an outstanding, competitive, and externally funded research program. Candidates must provide evidence of research excellence which can be demonstrated by a record of publications in top-ranked and field relevant journals or forthcoming publications meeting high international standards, the submitted research statement, presentations at significant conferences, awards and accolades, and strong endorsements from referees. We seek candidates whose research integrates psychology with advances in AI and complements our core areas: developmental psychology; perception, cognition, and cognitive neuroscience; social and personality psychology; or behavioural neuroscience. Possible foci include AI applications in big data analysis (social), brain and thought process modeling (developmental, cognitive neuroscience), or multi-unit activity networking (behavioural neuroscience). Topics may also include human–machine interaction in a technologically augmented society, such as cognitive challenges of VR/AR or self-driving vehicles, and trust in generative AI content. Expertise in computational/quantitative modeling and teaching in statistics at the undergraduate and/or graduate level is especially welcome. Applicants are encouraged to review the research and teaching profiles of current faculty members. In your cover letter, please indicate into which of the above-mentioned research directions your own research profile would fall. Please visit our home page: Department of Psychology, www.psych.utoronto.ca Evidence of excellence in teaching will be demonstrated by teaching accomplishments, and the teaching dossier, including a teaching statement, sample course materials, and teaching evaluations or other evidence of superior performance in teaching-related activities submitted as part of the application, as well as strong letters of reference. Other teaching-related activities can include performance as a teaching assistant or course instructor, experience leading successful workshops or seminars, student mentorship, or excellent conference presentations or posters. The successful candidate will undertake undergraduate and graduate teaching responsibilities on the University’s STG CAMPUS (downtown Toronto). The successful candidate will join a vibrant intellectual community of world-class scholars at Canada’s leading university. The University of Toronto offers a wide range of opportunities for collaborative and interdisciplinary research and teaching, the excitement of working with a highly diverse student population and actively encourages innovative scholarship. The Greater Toronto Area offers amazing cultural and demographic diversity and one of the highest standards of living in the world. Salary will be commensurate with qualifications and experience. All qualified candidates are invited to apply online by clicking the link below. Applicants must submit a cover letter; a current curriculum vitae; a research statement outlining current and future research interests; a recent writing sample; and a teaching dossier including a teaching statement, sample course materials, and teaching evaluations or evidence of superior performance in other teaching related activities as listed above. Equity, diversity and inclusion are essential to academic excellence as articulated in University of Toronto’s Statement on Equity, Diversity and Excellence <https://governingcouncil.utoronto.ca/secretariat/policies/equity-diversity-…>. We seek candidates who share these values and who demonstrate throughout the application materials their commitment and efforts to advance equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment. Applicants must provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each referee within 48 hours after an application is submitted. Applicants remain responsible for ensuring that referees submit recent letters (on letterhead, dated and signed) by the closing date. More details on the automatic reference letter collection, including timelines, are available in the candidate FAQ <https://jobs.utoronto.ca/content/Frequently-Asked-Questions/?locale=en_US>. Submission guidelines can be found at http://uoft.me/how-to-apply <https://jobs.utoronto.ca/content/Frequently-Asked-Questions/>. Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format. If you have any questions about this position, please contact Poppy Lockwood, Chair, Department of Psychology at psy.chair(a)utoronto.ca. All application materials, including recent reference letters, must be received by October 15, 2025. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission. As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

Sept. 12, 2025

Open postdoctoral position in Computational Neuroscience at UCLA

by Mario Dipoppa

Dear colleagues, We invite applications for a postdoctoral position in the Theoretical and Computational Neuroscience Laboratory at UCLA. The selected candidate will investigate how brain computations emerge from the dynamics of neural circuits and how computational demands and biological constraints shape the neural code. Our research team (www.dipoppalab.com) led by Mario Dipoppa, is a cooperative and vibrant environment with close collaborations across UCLA’s world-class neuroscience community. Lab members receive excellent scientific training and career mentoring. Candidates should have a strong publication record in computational neuroscience or a related quantitative field, including but not limited to computer science, machine learning, engineering, bioinformatics, physics, mathematics, or statistics. Candidates who hold or are about to obtain a Ph.D. and are interested in joining the laboratory should submit: (i) a CV with a list of publications; (ii) one publication or preprint to which they made a significant contribution; (iii) a research statement (max two pages) describing past work and career goals; and (iv) contact information for three academic referees. Please submit all materials as a single PDF to mdipoppa(a)g.ucla.edu. The position is available immediately with a flexible start date. We offer competitive salary and benefits. Informal inquiries are welcome. Best regards, Mario Dipoppa -- *Mario Dipoppa, PhD* Assistant Professor *University of California, Los Angeles* *Department of Neurobiology* *David Geffen School of Medicine* *https://www.dipoppalab.com <https://www.dipoppalab.com>* *mdipoppa(a)g.ucla.edu <mdipoppa(a)g.ucla.edu>*

Sept. 10, 2025