- Comp-neuro - lists.cnsorg.org

Bonsai Programming workshop, Heidelberg, Oct 17th

by Mateusz Kostecki

Hello! We are happy to announce our first workshop of the new academic year! This time we will teach you how to use the *Bonsai* reactive programming language. Many experiments require us to synchronize multiple data streams— from cameras, sensors, microscopes—precisely deliver stimuli, and, quite often, do everything in a *closed-loop* setting. The fact that different devices use different software doesn’t make this task easier. One of the best—and open—solutions to these challenges is *Bonsai*, a reactive programming language that allows you to collect data from multiple systems, from calcium imaging through sound recordings to sensors, and to control output devices—such as feeders, motors, or stimulus delivery systems—to build *closed-loop* paradigms. It is easy to learn, implement, and is robust. During our workshop, we will introduce the basic logic of Bonsai; cover loading and saving data; working with a camera to track animals; and the basics of closed-loop experiments. We will also cover using Arduino alongside Bonsai to control experimental equipment and to save data from your sensors. *Requirements:* A Windows computer and a webcam. The workshop will take place on *Oct 17, 9:45 AM–5:00 PM* at *COS, Heidelberg Institute*. Please find more info and the registration form here: https://openlabhd.org/2025/09/30/bonsai-programming-workshop-oct-17th/ With best wishes, *Mateusz Kostecki* -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

Oct. 6, 2025

PhD position in Neuroscience: Advanced optical and electrophysiological approaches to study Purkinje cell intrinsic plasticity in larval zebrafish

by tingfenglin.ac＠gmail.com

Position title: PhD position in Neuroscience Hours per week: 36 to 40 Department: Department of Biology, research group of Dr. Ting-Feng Lin↗ To submit your application, visit: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po… 2. Highlight Dissecting neuronal mechanisms underlying learning and memory through cutting-edge microscopy. 3. Introduction It is widely accepted that synaptic plasticity constitutes the cellular correlate of learning. Yet, synaptic plasticity alone is insufficient to fully account for learning. Other mechanisms, such as intrinsic plasticity of membrane excitability, have been shown to be necessary for memory formation. Still, it remains unclear how intrinsic plasticity contributes to memory encoding and alters cognitive processes. In this project, we will leverage the advanced voltage imaging in larval zebrafish to investigate how intrinsic plasticity reshapes neuronal behavior. 4. Your Job In this project, you will contribute to both engineering and neurobiology. First, you will help build a light-sheet microscope optimized for voltage imaging at the single-cell and subcellular level in live larval zebrafish (1). The development of this system will be supported by Dr. Emmanuel Marquez Legorreta↗, Dr. Ernest van der Wee↗, and the Biology Image Center↗ team. Once the microscope is established, you will use it to investigate the electrophysiological properties of cerebellar Purkinje cells with advanced voltage indicators such as Voltron2. The ultimate goal is to uncover how Purkinje cells alter their dendritic signaling and spiking characteristics under different sensory or chemogenetic conditioning paradigms, and to determine how these changes may be mediated through intrinsic plasticity or brain state. (1) Böhm UL, Kimura Y, Kawashima T, Ahrens MB, Higashijima SI, Engert F, Cohen AE. Voltage imaging identifies spinal circuits that modulate locomotor adaptation in zebrafish. Neuron. 2022 Apr 6;110(7):1211-1222.e4. doi: 10.1016/j.neuron.2022.01.001. Epub 2022 Jan 31. PMID: 35104451; PMCID: PMC8989672. 5. Your qualities We are looking for a collaborative and responsible new colleague who meets several or all of the following criteria: • You hold, or are about to complete, a Master’s degree in Biology or Engineering. In a program that requires two internships, students who have completed their first internship are also encouraged to apply! • Has an interdisciplinary background. Previous microscopy training is a strong asset. • Demonstrates a strong interest in, or prior experience with, neuroscience. • You bring enthusiasm for live imaging at single-cell and subcellular level in larval zebrafish. • Have programming skills or a strong willingness to learn them. • Speak and write proficient academic English. 6. Our Offer • a position for 18 months, with an extension to a total of four years upon successful assessment in the first 18 months; • a gross monthly salary between € 3.059 and €3.881 in the case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU); • 8% holiday bonus and 8.3% end-of-year bonus; • A pension scheme, partially paid parental leave, and flexible terms of employment based on the Collective Labour Agreement Dutch Universities. In addition to the terms of employment↗ laid down in the CAO NU, Utrecht University has a number of schemes and facilities of its own for employees. This includes schemes facilitating professional development↗, leave and sports and cultural activities↗. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University↗. 7. About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University↗, the various disciplines collaborate intensively towards major strategic themes↗. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science, shaping tomorrow↗. Working at the Faculty of Science↗ means bringing together inspiring people across disciplines and with a variety of perspectives and backgrounds. The Faculty↗ has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we↗ work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure. Visit us on LinkedIn↗ and discover how you can become part of our community. You will join the group of Dr. Ting-Feng Lin↗ at the Division of Cell Biology, Neurobiology and Biophysics↗ within the Department of Biology. Our division hosts the state-of-the-art Biology Imaging Center↗, which offers technical supports and training in advanced light and fluorescent microscopy. The Lin group works closely and shares lab space with the group of Dr. Emmanuel Marquez Legorreta↗. In addition, several labs in the department pursue diverse scientific questions using as a zebrafish model system, supported by a dedicated core facility maintained by professional veterinarians and technicians. Being part of this enriching community, our group not only shares the common scientific ambitions but also fosters an environment built on care, respect and collaboration. 8. More information For more information, please contact Dr. T.F. (Ting-Feng) Lin at t.f.lin(a)uu.nl. Do you have a question about the application procedure? Please send an email to science.recruitment(a)uu.nl. 9. Apply now As Utrecht University, we want to be a home↗ for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute. If you are enthusiastic about this position, just apply via the "Apply now" button! Please enclose: • your letter of motivation; • your Curriculum vitae; • the names, telephone numbers, and email addresses of at least two references; If this specific opportunity isn’t for you, but you know someone else who may be interested, please forward this vacancy to them. Some connections are fundamental – Be one of them↗ #FundamentalConnection

Oct. 5, 2025

Call for abstracts, EMBO Workshop on DENDRITES, 19-22 May 2026, Heraklion, Crete, Greece

by Spyridon Chavlis

Dear colleagues and friends, We are excited to announce the call for abstracts for short oral and poster presentations at the *EMBO Workshop on Dendrites 2026*, taking place from *May 19-22, 2026*, in *Heraklion, Crete, Greece*. This workshop marks the 6th installment in a successful series dedicated to dendritic research. We aim to bring together leading scientists from around the world to share their theoretical and experimental findings. The program is designed to foster dynamic discussions and collaborations in a relaxed atmosphere, emphasizing interaction and the exchange of innovative ideas. *Important Dates:* - *Abstract Submission Deadline:* February 1, 2026 - *Notification of Acceptance:* February 28, 2026 - *Registration Payment Deadline:* March 15, 2026 *There is no fee for abstract submission, and we encourage all potential attendees to submit an abstract, as presenters will receive registration priority.* Please register and submit your abstract online at: https://meetings.embo.org/event/26-dendrites For more information about the workshop, please visit our website or contact us at embo2026(a)artion.com.gr. We look forward to welcoming you to Dendrites 2026! Warm regards, *Spiros Chavlis* On behalf of the Organizing Committee: *Panayiota Poirazi, Lucy Palmer, Mark Harnett* -- Spyridon Chavlis, PhD Postdoctoral Researcher and Systems Administrator Poirazi Lab Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Vassilika Vouton, Heraklion, Crete, Greece Email: schavlis(a)imbb.forth.gr | chavlis.spiros(a)gmail.com Webpage: dendrites.gr <https://www.dendrites.gr/>

Oct. 2, 2025

LASCON 2026 - X Latin American School on Computational Neuroscience - Extended Application Deadline

by Antonio Roque

Following multiple requests, the application deadline has been extended to October 11, 2025 (no additional extension will be granted). *LASCON 2026 – X Latin American School on Computational Neuroscience* *January 5–30, 2026 | University of São Paulo, Brazil* https://sisne.org/en/lascon-x/ *APPLICATION DEADLINE: October 11, 2025 (*until midnight, US Pacific Time*)* **** Apologies for cross-posting **** Dear Colleagues, It is my pleasure to announce the *10th edition of the Latin American School on Computational Neuroscience (LASCON 2026)*, which will be held at the University of São Paulo, Brazil, from *January 5 to 30, 2026*. LASCON 2026 offers an intensive four-week training program designed for graduate students, advanced undergraduates, and early-career researchers interested in applying computational and mathematical methods to the study of neurons and neural networks. The curriculum spans multiple scales of brain modeling—from biophysically detailed neurons to large-scale networks and theoretical frameworks of brain function and dysfunction—and covers topics such as extracellular field modeling, synaptic and structural plasticity, brain disease and brain state modeling, artificial intelligence, criticality in brain dynamics, consciousness, and brain–machine interfaces. The program combines *morning lectures* on theory, *afternoon tutorials* using leading simulation tools (NEURON, NEST, NetPyNE), and *evening group project work*, culminating in student project presentations. This 10th edition marks a special milestone: *20 years of LASCON*. Since its first edition in 2006, the school has become a recognized international initiative in computational neuroscience training, attracting students from Latin America and beyond. Over the years, LASCON has welcomed participants from all continents, and its alumni (278 to date) have gone on to successful careers in academia and industry worldwide. To celebrate this anniversary, LASCON 2026 will feature the largest faculty in the school’s history, with lectures and tutorials covering a wide spectrum of subfields in computational neuroscience. Confirmed faculty include: Alain Destexhe (Paris-Saclay Inst. of Neuroscience, France) · Alessandro Treves (SISSA, Italy) · Aline Duarte (USP, Brazil) · Arnd Roth (UCL, UK) · Cláudia Vargas (UFRJ, Brazil) · Daniel Takahashi (UFRN, Brazil) · Demian Battaglia (Univ. of Strasbourg, France) · Enzo Tagliazucchi (Univ. of Buenos Aires, Argentina) · Fernanda Matias (UFAL, Brazil) · Florencia Iacaruso (The Francis Crick Institute, UK) · Gaute Einevoll (NMBU, Norway) · Gustavo Rohenkohl (USP, Brazil) · Hans Ekkehard Plesser (NMBU, Norway) · Harel Shouval (Univ. of Texas Medical School at Houston, USA) · Horacio Rotstein (NJIT & Rutgers, USA) · Junji Ito (Jülich, Germany) · Leonardo Elias (Unicamp, Brazil) · Lyle Muller (Western Univ., Canada) · Marja-Leena Linne (Tampere Univ., Finland) · Markus Diesmann (Jülich, Germany) · Maurício Girardi-Schappo (UFSC, Brazil) · Mauro Copelli (UFPE, Brazil) · Netta Cohen (Univ. of Leeds, UK) · Oswaldo Baffa (USP, Brazil) · Patricia Reynaud-Bouret (Côte d’Azur Univ., France) · Rodrigo Pavão (UFABC, Brazil) · Rodrigo Pena (Florida Atlantic Univ., USA) · Sonja Grün (Jülich, Germany) · Sophia Sanborn (Stanford Univ., USA) · Viktor Jirsa (Aix-Marseille Univ., France) · Valeriy Bragin (SUNY, USA) · William Bialek (Princeton University., USA) · William Lytton (SUNY, USA). *Applications*: The number of students is limited to 40. Applications must be submitted via the school’s website (link <https://sisne.org/en/lascon-x/>) and include a CV (in English) and two recommendation letters. The application deadline is *October 11, 2025 (midnight, US Pacific time)*. *Costs and support*: There is *no registration fee*. Subject to available funding, accommodation may be provided for participants coming from outside Greater São Paulo. Travel costs must be covered by participants. *Selection*: Priority will be given to Latin American students, but applications from all regions are warmly encouraged. LASCON 2026 is organized as an activity of the *FAPESP Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat)*. We look forward to welcoming you in São Paulo. Best regards, *Antonio C. Roque* Director, LASCON -- Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com www.sisne.org ORCID: 0000-0003-1260-4840 <https://orcid.org/0000-0003-1260-4840> ResearcherID: C-2316-2011 <http://www.webofscience.com/wos/author/record/C-2316-2011> Google Scholar: GqHWF74AAAAJ <http://scholar.google.com.br/citations?user=GqHWF74AAAAJ> CV Lattes: 4609096963207702 <http://lattes.cnpq.br/4609096963207702>

Oct. 1, 2025

Postdoctoral Position in Computational Neuroscience at NYU Shanghai

by Sukbin Lim

The research group of Prof. Sukbin Lim at NYU Shanghai is seeking a highly motivated Postdoctoral Fellow to join the lab. The position focuses on developing theoretical and computational models to study the dynamics of local neural circuits and their interactions—for example, between sensory and memory systems or between memory and decision-making pathways. A central goal is to advance computational approaches for reverse-engineering these mechanisms. The lab collaborates closely with experimental groups, providing rich opportunities for integrative and interdisciplinary research. For more details, please visit the full* Position Ad <https://drive.google.com/file/d/1oTFLYkN6TtuFPnNlfFr77zDpcFKiX9RF/view?usp=…>*: https://drive.google.com/file/d/1oTFLYkN6TtuFPnNlfFr77zDpcFKiX9RF/view*.*

Oct. 1, 2025

Half-priced tickets for researchers - AE Global Summit on Open Problems for AI (28–30th Oct, London, Kings X / Euston)

by Battleday, Ruairidh

Dear Colleagues, We've just announced a 2-for-1 on researcher tickets to our upcoming AI Research Summit <https://that.build> in London thanks to generous funding. If you could forward the below to your internal groups, lists, and networks to spread the word, that would be much appreciated. Many thanks, Ruairidh --------- *AE Global Summit on Open Problems for AI (28–30th Oct, London, Kings X / Euston) - Half-priced researcher tickets thanks to generous funding* Over three days, we will bring together hundreds of scientists, researchers, policymakers, engineers, entrepreneurs, and artists to discuss the most important open problems in AI, and how we might solve them. Programme highlights Day 1: AI Research Breakthroughs & Infrastructure Featuring Prof. David Silver (DeepMind) <https://davidstarsilver.wordpress.com/>, Dr Raia Hadsell (DeepMind), <https://raiahadsell.com/index.html> Prof. Jakob Foerster (Meta & Oxford), <https://www.jakobfoerster.com/> Dr Laura Gilbert (Tony Blair Institute) <https://www.linkedin.com/in/dr-laura-gilbert/>, Prof. Emine Yilmaz (UCL) <https://www.linkedin.com/in/emine-yilmaz-978b937/>, Prof. Oana-Maria Camburu (Imperial) <https://sites.google.com/view/oana-maria-camburu/>, Dr Minqi Jiang (Meta) <https://minch.co/>, Dr Sarah Parisot (Microsoft) <https://www.linkedin.com/in/parisotsarah/?locale=en_US>, and senior research leaders from NVIDIA <https://www.nvidia.com/en-gb/>, NSCALE <https://www.nscale.com/>, Thomson Reuters <https://www.thomsonreuters.com/en>, Bertelsmann <https://www.bertelsmann.com/#st-1>, Wayve <https://wayve.ai/>, Innovate UK <https://www.linkedin.com/company/innovateuk/>, UKRI Future Leaders Fellowship <https://www.ukri.org/what-we-do/developing-people-and-skills/future-leaders…> , Hassana Labs <https://www.linkedin.com/company/hassana-labs/>, and many more. Day 2: AI Safety, Enterprise, & Society Speakers include Prof. Chris Summerfield (AISI & Oxford) <https://www.psy.ox.ac.uk/people/christopher-summerfield>, Prof. Richard Susskind (Oxford) <https://www.susskind.com/>, Dr Artemis Seaford (ElevenLabs <https://www.linkedin.com/in/artemisseaford/>), Dr Marius Hobbhahn (Apollo Research) <https://www.linkedin.com/in/marius-hobbhahn-128927175/?originalSubdomain=uk> , Dr Abhishek Mishra (Faculty) <https://www.linkedin.com/in/abhishekvsm/>, Kriti Sharma (IFS Global) <https://www.linkedin.com/in/kritisharma3?originalSubdomain=uk>, Dr Dara L. Sosulski (HSBC) <https://www.linkedin.com/in/dara-l-sosulski-phd/>, Dr James Kuht (Pair) <https://www.linkedin.com/in/jameskuht/>, and safety and society leaders from ADVAI <https://www.advai.co.uk/>, Academy <https://www.linkedin.com/company/we-are-academy/posts/?feedView=all>, Blue Dot Impact <https://www.linkedin.com/company/bluedotimpact/>, Multiverse <https://www.multiverse.io/en-GB>, Tony Blair Institute <https://institute.global/>, Bernstein Insights <https://www.bernstein.com/our-insights/insights.html>, PolyAI <https://poly.ai/>, HSBC <https://www.hsbc.co.uk/>, the Financial Times <https://www.ft.com/>, and many more. Day 3: AI Entrepreneurship & Applications (Education and Medicine) With Minister Narayan (DSIT) <https://www.gov.uk/government/people/kanishka-narayan>, Alexander Straub (Straub Ventures) <https://www.linkedin.com/in/alexanderstraub/?originalSubdomain=uk>, Dr Trias Gkikopoulos (Innovate UK) <https://www.linkedin.com/in/triantafyllosgkikopoulos/?original_referer=http…> , Erwann Le Lannou (XTX Markets) <https://www.linkedin.com/in/erwann-le-lannou/?originalSubdomain=uk>, Prof Rose Luckin (UCL & Educate Ventures) <https://www.linkedin.com/in/rose-luckin-5245003/?authType=&authToken=&trk=m…> , Dr Irina Jurenka (DeepMind) <https://www.linkedin.com/in/irina-jurenka-74455235/?originalSubdomain=uk>, Prof Thore Graepel (UCL) <https://thoregraepel.github.io/>, an expo session featuring investors and startups from London AI Hub <https://www.linkedin.com/company/london-ai-hub/>, Venture Cafe London <https://www.linkedin.com/company/venturecafelondon/>, Harvard and MIT Tech Alumni, Founders Forum <https://www.linkedin.com/company/foundersforumgroup/>, Entrepreneur First <https://www.linkedin.com/company/entrepreneurs-first/>, Cooley LLP <https://www.linkedin.com/company/cooleyllp/>, NVIDIA <https://www.nvidia.com/en-gb/>, XTX Markets <https://www.xtxmarkets.com/>, and contributors from Google Health <https://health.google/>, Raspberry Pi Foundation <https://www.raspberrypi.org/>, Newton’s Tree, <https://www.newtonstree.ai/> the NHS senior AI team, and many more. The conference will feature keynote talks, panels, spotlight talks, breakout rooms, and an expo hall, alongside opportunities for informal discussion with colleagues from institutions including Oxford <https://www.ox.ac.uk/>, UCL <https://www.ucl.ac.uk/>, KCL <https://www.kcl.ac.uk/>, Imperial <https://www.imperial.ac.uk/>, Stanford <https://www.stanford.edu/>, Harvard <https://www.harvard.edu/>, MIT <https://www.mit.edu/>, DeepMind <https://deepmind.google/>, Meta <https://www.meta.com/en-gb/about/?srsltid=AfmBOooyD76gNdU_z8E_JulzOLafvKow3…> , Microsoft <https://www.microsoft.com/en-gb/>, NVIDIA <https://www.nvidia.com/en-gb/>, 11labs <https://elevenlabs.io/>, Wayve <https://wayve.ai/>, AISI <https://www.aisi.gov.uk/>, Alto Labs <https://www.altoslabs.com/>, PolyAI <https://poly.ai/>, Contextual AI <https://contextual.ai/>, UKRI <https://www.ukri.org/>, the Sovereign AI Team, DSIT <https://www.gov.uk/government/organisations/department-for-science-innovati…>, and many more. We’d love to see some of you there! Generous sponsorship has allowed us to open access to the Summit for researchers, so if you'd like to bring a friend or colleague that couldn't otherwise come for no extra charge (or, if you'd just like to split costs with them), please do use the discount code below. Register via the link below. If you'd like to bring a friend for free, add two Researcher tickets to checkout, then enter discount code *AE2025*: https://tickets.algopreneurship.org/ResearchersEmail If you've already bought a ticket and would like to bring a friend along, please do message webmaster(a)thinkingaboutthinking.org Many thanks, Ruairidh and the team -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

Sept. 30, 2025

Assistant Professor in Computational Cogitive Neuroscience at SUNY Albany

by MALHOTRA, Gaurav

Dear colleagues, The Department of Psychology at the University at Albany (State University of New York) invites applications for a full-time, tenure-track position at the rank of Assistant Professor in Computational Cognitive Neuroscience. We are seeking a scholar whose research addresses fundamental questions about human cognition and the brain by integrating cutting-edge neuroscience methods with innovative computational approaches such as artificial intelligence (AI), machine learning, or neuromorphic computing. Check out additional details and qualifications here: https://albany.interviewexchange.com/jobofferdetails.jsp?JOBID=193092 Best wishes, Gaurav. --- Gaurav Malhotra Assistant Professor Department of Psychology University at Albany, SUNY https://www.cclab.ac<https://www.cclab.ac/>

Sept. 30, 2025

Doctoral Position in Theoretical Biophysics at Center for Advanced Study of Collective Behavior

by Ahmed El Hady

Doctoral position in Theoretical Biophysics (Deadline : 1st November 2025) We are seeking a doctoral student with a quantitative background. Ideally, the candidate should have a master degree in physics but other quantitative backgrounds will be considered. The researcher will be based in the Integrative Biophysics group at the University of Konstanz and Max Planck Institute of Animal Behaviour, located in Konstanz, Germany. The Integrative Biophysics group <https://www.exc.uni-konstanz.de/collective-behaviour/about-us/people/integr…> is led by Dr. Ahmed El Hady. The group focuses on a diverse set of theoretical biophysics problems. The doctoral project is a collaboration between the integrative biophysics research group and the research group of Prof. Ilya Nemenman at Emory University, Altanta, US. The doctoral student will have the opportunity to have research stays at Emory University. The project summary is as follows: *Project Title*: /Inferring dynamical interactions in social groups/ *Project Abstract*: Social interactions are one of the most foundational building blocks of group behaviors, shaping decision making strategies across ecologies. Social groups consist of small number of individuals in contrast with collectives that consist of large number of agents. Despite the importance of social groups as a building block of living systems, there is little understanding of mechanistic details of the nature of those social interactions and how they shape emergent social functional properties. This stands in contrast with physics of collectives, which usually focus on the dynamics of very large group of individuals and have been thoroughly studied. In an experimental sys-tem or in field observations tackling social behaviors, we do not know a priori the social forces, nature of those interactions and their dynamics. Recent advances in software and hardware allow us to track the behavior of multiple individuals over extended spatio-temporal scales. Thus it is crucial to develop methodologies to infer dynamical social interactions and social forces from experimental observations. This relates closely to work done inferring "social forces" from dusty plasmas. Recent theoretical work has developed an information theoretic approach to estimate intrinsic motivation, based on maximizing an agent's empowerment (defined as the mutual information between its past actions and future states). This approach can be used to study social behaviours, where individuals choose actions without an explicit reward signal. In this project, we are planning to apply this framework to infer and understand social behaviour of small animal groups specifically locusts, mice and marmosets monkeys offering not only a mechanistic insights into mechanisms of social organization but also make quantitative evolutionary comparison of social behaviours. *Relevant publications:* 1. Yu, Wentao, Eslam Abdelaleem, Ilya Nemenman, and Justin C. Burton. "Physics-tailored machine learning reveals unexpected physics in dusty plasmas.Proceedings of the National Academy of Sciences 122, no. 31 (2025): e2505725122. 2. Tiomkin, Stas, Ilya Nemenman, Daniel Polani, and Naftali Tishby. "Intrinsic motivation in dynamical control systems.” PRX Life 2, no. 3 (2024): 033009. The doctoral position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/12/2025 and deadline for application is 01/11/2025. For more information and application , please visit the website: https://stellen.uni-konstanz.de/jobposting/09992aa34cc8da9cb6416ec16df7ece3… and the application portal is here: https://stellen.uni-konstanz.de/en/jobposting/09992aa34cc8da9cb6416ec16df7e… If you have any questions or need more information concerning the position, please contact Ahmed El Hady on : ahmed.el-hady(a)uni-konstanz.de

Sept. 30, 2025

Postdoctoral Fellow – Computational Neuroscience of Working Memory in Aging and Alzheimer’s Disease

by Klaus Wimmer

We are recruiting a Postdoctoral Researcher for an NIH-funded project investigating the neural circuit mechanisms of working memory decline in aging and Alzheimer’s disease. The postdoc will be based at Boston University in the laboratory of Dr. J. Luebke<https://www.bumc.bu.edu/anatneuro/luebke-lab-2/> in Boston, MA and work primarily on computational modeling of large-scale prefrontal cortex networks, under the remote supervision of Dr. Klaus Wimmer<https://www.crm.cat/_neuroscience/> (Centre de Recerca Matematica, Barcelona, Spain). The project combines computational and empirical approaches, and the postdoc will develop large-scale spiking network models that incorporate biologically realistic perturbations such as myelin changes, synapse loss, and neuronal hyperexcitability. The position offers close interaction with experimental collaborators, opportunities to generate testable predictions, and strong support for publishing and presenting work internationally. Qualifications * PhD in computational neuroscience, physics, computer science, applied mathematics, or a related field. * Strong programming skills (Python; experience with simulation environments like Brian2, NEST, or NEURON a plus). * Background in neural network modeling, systems neuroscience, or dynamical systems. Position Details * Initial appointment: 1 year, renewable based on performance and funding. * Start date: Flexible, ideally Fall/Winter 2025. * Salary and benefits follow NIH/BU guidelines. How to Apply Please send a CV, a short cover letter describing your research interests, and contact details for 2–3 referees to kwimmer(a)crm.cat<mailto:kwimmer@crm.cat>. Applications will be reviewed on a rolling basis until the position is filled. CONFIDENTIALITY AND PRIVACY NOTICE: This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction. We inform you that the personal data contained in this document, and in particular your contact information and professional position, are protected in accordance with current legislation on the protection of personal data. Centre de Recerca Matemàtica (CRM) will process the data only for the purpose of managing the relationship you have with us. The data will be kept while the purpose for which it was collected remains. You can exercise at any time your rights to access, rectification and erasure of your personal data, as well as the right to object and restriction of processing. For this, you must contact CRM by email to dpo(a)crm.cat.

Sept. 30, 2025

Assistant Professor job in Canada

by Luczak, Artur

Our Department of Neuroscience at the University of Lethbridge invites applications for a tenure-track position at the rank of Assistant Professor. It is a nice place to work. More information is here: https://uleth.peopleadmin.ca/postings/8586 Our dept: https://www.ulethbridge.ca/artsci/neuroscience/our-faculty Best, Artur Luczak Canadian Centre for Behavioural Neuroscience Department of Neuroscience, University of Lethbridge https://people.uleth.ca/~luczak/

Sept. 29, 2025

Full Professor Artificial Intelligence for Biology

by Jolivet, Renaud (MACSBIO)

Our department has an opening for a Full Professor Artificial Intelligence for Biology affiliated with the Maastricht Centre for Systems Biology and Bioinformatics at Maastricht University in The Netherlands. Come be my colleague! All details available here https://vacancies.maastrichtuniversity.nl/job/Maastricht-Full-Professor-Art…. Cheers, Renaud — Prof. Dr. Renaud B. Jolivet, FISC André Mischke YAE Prize for Science and Policy 2023 and MCAA Career Award 2022 Chair of Neural Engineering and Computation, MaCSBio, Maastricht University User Team Leader, ISOLDE, CERN ERA Forum Stakeholder Representative, European Commission Chair of the Science and Technology Committee, EBRAINS Polymath Fellow, GCSP +41798302129 (mobile) ‭+31433881741 (office)‬ r.jolivet(a)maastrichtuniversity.nl <mailto:renaud.jolivet@unige.ch> twitter.com/RenaudJolivet <https://twitter.com/RenaudJolivet> linkedin.com/in/renaud-jolivet-63b5534 <http://linkedin.com/in/renaud-jolivet-63b5534> scholar.google.ch/citations?user=9Ozwv7EAAAAJ <http://scholar.google.ch/citations?user=9Ozwv7EAAAAJ>

Sept. 29, 2025

Postdoc opening: Smith Lab - University of Minnesota, Minneapolis MN

by Gordon Smith

The Smith lab at the University of Minnesota is seeking a motivated and talented postdoctoral researcher to study the development of large-scale networks in the developing brain. Our lab employs optical approaches to study the mechanisms of cortical network formation in the developing brain. We have recently obtained funding to use wide-field and 2-photon optogenetics to investigate how perturbations of early network function impact development. Preferred candidates will have a Ph.D. or equivalent in neuroscience, biology, or related field, and experience in one or more of the following areas: multiphoton imaging, optogenetics, calcium imaging, *in vivo *electrophysiology, and / or analysis of large-scale datasets. Applicants without prior experience in these areas but with a strong interest in systems neuroscience and applying optical approaches to investigate circuit function are also encouraged to apply. Please apply by sending a cover letter stating your interest in the project, your CV, and a brief research statement (1-2 pages) as a *single pdf* to Gordon Smith (gbsmith(a)umn.edu) with the subject line “Smith Lab Postdoc 2025”. References will be requested after initial review. This is a fully funded multi-year position with excellent benefits. Salary will be commensurate with experience, and will meet or exceed NIH levels. Review of applications will begin immediately and continue until the position is filled. For additional information please see our website: https://www.smithneurolab.org/positions. -- Gordon Smith, Ph. D. Associate Professor Associate Director of Graduate Studies Graduate Program of Neuroscience Optical Imaging and Brain Science Medical Discovery Team Department of Neuroscience Center for Magnetic Resonance Research University of Minnesota smithneurolab.org CMRR 1-311C 2021 6th Street S.E. Minneapolis, MN 55455 612-625-8823

Sept. 26, 2025

GCNU-SWC Joint PhD Programme: Applications now open!

by Lin, I-Chun

Gatsby Unit and Sainsbury Wellcome Centre Joint PhD Programme Deadline: 17:00 GMT, Monday 3 November 2025 The Gatsby Unit (GCNU) and Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) have launched a 4-year joint PhD programme that aims to bridge the gap between theory and experiments. This PhD programme is designed to immerse students in both experimental and theoretical thinking, providing a rigorous preparation for an interdisciplinary research career. Courses in the first year provide a comprehensive introduction to systems neuroscience, theoretical/computational neuroscience, and machine learning. Students will be part of the 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 for a critical mass of theoreticians and experimentalists to interact closely with one another and with researchers at the ELLIS Unit at UCL and related UCL departments/domains such as UCL Neuroscience Domain; Artificial Intelligence; Computer Science; Statistical Science; and the nearby Francis Crick and Alan Turing Institutes. 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. For programme details (including the key differences between the Gatsby Unit PhD programme, the SWC PhD programme, and the joint programme) and how to apply, see 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

Sept. 25, 2025

AAAI 2026 workshop "Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence"

by Anton Arkhipov

Dear Colleagues, Join us for the Workshop “Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence” at the AAAI 2026 conference in Singapore on January 27, 2026. We are bringing together researchers in neuroscience and AI to explore how brain principles can inspire multimodal models, and how AI can push the frontiers of neuroscience. Please see details below and at https://neuroai-multimodal-workshop.github.io/. We invite submissions of full papers or abstracts that describe new research, work in progress, or position statements on relevant topics. The full paper submissions should be 8 pages maximum, excluding references, and the abstract submissions should be 2 pages maximum, excluding references, in the AAAI two-column format. Please submit your work by October 30, 2025 at https://openreview.net/group?id=AAAI.org/2026/Workshop/NeuroAI. Invited speakers include * Dmitri "Mitya" Chklovskii (Flatiron Institute, NYU) * Andreas Tolias (Stanford University) * Martin Schrimpf (EPFL) * Guozhang Chen (Peking University) * Adeel Razi (Monash University) * Mike Zheng Shou (National University of Singapore) Organizing Committee: * Reza Abbasi-Asl, University of California, San Francisco * Asim Iqbal, Tibbling Technologies / Weill Cornell Medicine * Sophia Sanborn, Stanford University * Shinya Ito, Allen Institute * Anton Arkhipov, Allen Institute Description of workshop: This workshop will unite researchers in artificial intelligence, computational neuroscience, and neuromorphic engineering to explore the critical two-way exchange between biology and machine learning. Our main objective is to bridge these fields to accelerate foundational progress in multimodal natural intelligence. The “Neuro → AI” theme will investigate how principles from cortical microcircuits, such as sparse coding, dendritic nonlinearities, and cell-type diversity, can inspire novel, efficient, and robust AI architectures like transformers and graph-based models. Conversely, the “AI → Neuro” theme will showcase how advanced machine-learning techniques are revolutionizing neuroscience, enabling new insights into neural dynamics through AI-driven analysis of large-scale imaging, electrophysiological, and behavioral data. By bridging the gap between biologically grounded inductive biases for AI and scalable computational tools for neuroscience, this workshop aims to catalyze research that unifies theory, experiment, and application. Topics: * Biologically inspired machine learning architectures * Neuro-inspired mechanisms for efficiency (e.g., sparsity, inhibitory-excitatory balance) * AI-driven analysis of large-scale neuroscience data * Unsupervised representation learning and causal inference for circuit discovery * Gradient descent-based training of bio-realistic neural models * Open-source software and reproducible research in NeuroAI * Neuromorphic engineering and hardware implementation Format of Workshop: This will be a one-day, in-person workshop. The format is designed to be highly interactive, featuring a series of invited talks from world-renowned experts, two panel discussions for in-depth Q&A, and spotlight presentations for high-impact contributed papers. A central poster session will provide a forum for detailed discussion and networking. The day will conclude with a roundtable discussion to identify key community challenges and a sponsored social gathering to foster continued collaboration. Attendance: We welcome researchers and practitioners from academia and industry with an interest in the intersection of neuroscience and artificial intelligence. At least one author of each accepted submission must be present at the workshop. The maximum number of attendees is to be determined by the room size and will be communicated by AAAI. Please reach out if you have any questions. We look forward to seeing you in Singapore! Best regards, Reza Abbasi-Asl, Asim Iqbal, Sophia Sanborn, Shinya Ito, and Anton Arkhipov. 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. 23, 2025

Open Postdoc Positions: Center for Computational Neuroscience at Flatiron Institute

by Allison Ong

Applications are invited for postdoctoral Flatiron Research Fellowships (FRFs) at the Center for Computational Neuroscience (CCN) <www.simonsfoundation.org/flatiron/center-for-computational-neuroscience/> within the Flatiron Institute at the Simons Foundation. The mission of CCN is to develop theories, models, and computational methods that deepen our knowledge of brain function. CCN takes a vertically-integrated “systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning. In addition to carrying out an independent research program, FRFs are expected to: disseminate their results through scientific presentations, publications, and software release, collaborate with other members of the CCN or Flatiron Institute, and participate in the scientific life of the CCN and Flatiron Institute by attending seminars, colloquia, and group meetings. FRFs also have the opportunity to organize workshops and to mentor graduate and undergraduate students. FRF positions are two-year appointments and are generally renewed for a third year, contingent on performance. FRFs receive a research budget and have access to the Flatiron Institute’s world-class scientific computing resources. FRFs may be eligible for subsidized housing within walking distance of the CCN. This is a full-time in-person position located at the Simons Foundation office in New York City. Applications will be evaluated based on the following selection criteria: Past research accomplishments Proposed research plans Synergy of applicant’s expertise and research proposal topic with existing CCN research groups and projects *Additional details and the application submission link can be found here: https://apply.interfolio.com/173400 <https://apply.interfolio.com/173400>*

Sept. 23, 2025

Call for applications: Gatsby Unit PhD Programme 2026 entry

by Lin, I-Chun

4-Year PhD Programme in Theoretical Neuroscience and Machine Learning Deadline: 17:00 GMT, Monday 3 November 2025 We welcome applications for 2026 entry to the Gatsby Unit PhD programme at University College London (UCL). Our research focuses on the mathematical principles of learning, perception and action in brains and machines. Ours is one of the original programmes to bring together neuroscience and machine learning, creating a critical mass for interaction amongst theoreticians in related fields. First-year courses provide training in machine learning as well as theoretical and systems neuroscience, after which PhD project may specialise in machine learning, theoretical neuroscience or encompass both. Students are encouraged to work closely with colleagues in the Sainsbury Wellcome Centre for Neural Circuits and Behaviour and/or the ELLIS Unit at UCL; and we have strong links to many world-class research groups at UCL and beyond. Applicants should have a very 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. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the Gatsby Recruitment Portal. See http://www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gatsby-unit-phd-pr… for details. Further information The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. We are a community of around 50 academic and research staff, students and support staff. We function as far as possible as a single large research group, interacting closely through regular unit-wide research activities. Many leading researchers in both machine learning and neuroscience have studied or worked in the Unit. Over 40% of our PhD and postdoctoral alumni hold a faculty position and about 30% work in research development in companies such as Google DeepMind (itself founded by two of our alumni), Meta and Anthropic. * Information on our research: https://www.ucl.ac.uk/life-sciences/gatsby/research * Read more about our faculty members: https://www.ucl.ac.uk/life-sciences/gatsby/people

Sept. 23, 2025

Doctoral Position in Developmental Artificial Intelligence at the Frankfurt Institute for Advanced Studies

by Jochen Triesch

We are looking for a highly motivated Doctoral Researcher (f/m/d) to join the group of Jochen Triesch at the Frankfurt Institute for Advanced Studies (FIAS). The position is part of a new initiative within the German Excellence Cluster The Adaptive Mind (TAM) and is expected to start in early 2026. The application deadline is October 15, 2026. To submit your application, visit: https://jobapplication.hrworks.de/en?companyId=amb4af72&id=f39623 About the position The vacant position will be funded by the new German Excellence Cluster „The Adaptive Mind". Our goal is to reveal the computational and learning principles underlying the fascinating development of cognitive abilities in infants and toddlers through embodied computational modeling. To accomplish this goal, we will closely collaborate with Developmental Psychologists to develop embodied computational models of how infants and toddlers learn to perceive and understand the world, control their bodies and plan their behavior. These models will make use of our MIMo (Multimodal Infant Model) platform (see: https://ieeexplore.ieee.org/abstract/document/10382408) Topics of interest include, but are not limited to, the development of abstract multimodal sensory representations, body know-how, and models of the self. About FIAS The Frankfurt Institute for Advanced Studies (FIAS) is a hub for theoretical and computational research located on the science campus of Goethe University Frankfurt (Campus Riedberg). Our fellows pursue interdisciplinary approaches to address fundamental questions in the natural sciences. The group of Jochen Triesch at FIAS is seeking a doctoral student in the area of Developmental AI and computational modeling of cognitive development. About TAM The Adaptive Mind (TAM) is an excellence cluster funded within Germany’s excellence strategy, which aims to strengthen Germany’s position as an outstanding research hub in the long term and further improve its international competitiveness. The Adaptive Mind is a research cluster that brings together scientists from Experimental Psychology, Clinical Psychology and Artificial Intelligence in order to understand how the human mind successfully adapts to changing conditions, and what happens when these adaptive processes fail. For more information please visit: https://www.theadaptivemind.de/ We are looking for a candidate with: • An excellent master’s degree in machine learning, cognitive science, robotics, physics, engineering or related field • A strong quantitative background • Prior knowledge in Cognitive Development is advantageous, but not required. We offer: • an inspiring work atmosphere • excellent research infrastructure and dedicated mentoring • outstanding opportunities for training and career development. You will be affiliated with the Excellence Cluster „The Adaptive Mind“, Goethe-University and a fellow of FIGSS, the graduate school of FIAS • rich possibilities to collaborate with experimental groups • the opportunity to live in Frankfurt am Main, a vibrant and exciting cosmopolitan city in the heart of Europe, which consistently earns high rankings in worldwide surveys of quality of life • a funded PhD position with a competitive salary (65%, based on the TV-H E13 pay scale). Required documents: • a motivation letter, highlighting why you want to do a PhD in the field and in our lab • a detailed curriculum vitae containing academic qualifications, research experiences, skills, possibly a publication list where you highlight your specific contributions • names and contact information of at least two scientists who can give references • detailed transcripts of records of your Master’s and Bachelor’s programs. The Frankfurt Institute for Advanced Studies 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. In accordance with the German General Equal Treatment Act (AGG), all qualified applicants will be given equal consideration. Where qualifications are equal, preference will be given to applicants with a disability. Please note that any costs incurred in connection with a personal interview will not be reimbursed. For questions, please contact: Frankfurt Institute for Advanced Studies (FIAS) Ruth-Moufang-Str. 1, 60438 Frankfurt am Main triesch(a)fias.uni-frankfurt.de https://fias.uni-frankfurt.de Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

Sept. 22, 2025

Early-bird registration ends September 30th for The Mechanistic Basis of Foraging 2025, Birmingham (UK), 3-5th November

by Mark Humphries (staff)

Hi everyone, Early-bird registration<https://uobevents.eventsair.com/the-mechanistic-basis-of-foraging/registrat…> for "The Mechanistic Basis of Foraging 2025" will end on September 30th This international meeting will bring together everyone fascinated by the brain's role in foraging - ecologists, neuroscientists, theorists, psychologists, clinicians and all. It will be at the Edgbaston Park Hotel, University of Birmingham, UK on 3-5th November<https://uobevents.eventsair.com/the-mechanistic-basis-of-foraging/programme> 2025. Confirmed talks<https://uobevents.eventsair.com/the-mechanistic-basis-of-foraging/invited-s…> from Miriam Klein-Flügge<https://www.linkedin.com/in/ACoAACtE-3kBGfSLNtzwaO6Gg_61I2z7v1QL2cY> (Oxford), Susan Healy (St Andrews), Benjamin Hayden<https://www.linkedin.com/in/ACoAAACqwHUBWuoA8vX4E9N3dC7uDIwKm0gvJqk> (Rice), Dean Mobbs<https://www.linkedin.com/in/ACoAADO7t_EBfMOStW_2EEXmENwS1evhIbwqXxM> (Caltech), Becket Ebitz<https://www.linkedin.com/in/ACoAACCpbA8BHCMs39mrznP4hOIHFZXsdQvjof0> (Montreal), David Barack (Pennsylvania), Jennifer Li<https://www.linkedin.com/in/ACoAABs3v9oB9QVZ7O9k-SSERjAk7Rg1TdBsCLg> (Max Planck), Elli Leadbeater (UCL), Aaron Bornstein<https://www.linkedin.com/in/ACoAABpLq0cBebU5WP08r2J0Psww0wcniLCYixI> (UC Irvine), Nicholas Furl<https://www.linkedin.com/in/ACoAAAU3bbUBQbDszqRAFEIbNuWQGfbXb_3rpUg> (Royal Holloway), Dr. Carolina Rezaval (Birmingham), David Robbe (INSERM), and more https://uobevents.eventsair.com/the-mechanistic-basis-of-foraging/ We are grateful to the University of Birmingham<https://www.linkedin.com/company/university-of-birmingham/>, the BBSRC<https://www.linkedin.com/company/bbsrc/> and The Centre for Human Brain Health (CHBH)<https://www.linkedin.com/company/thechbh/> for supporting this meeting. Please share in your networks! Organising Committee: Prof. Matthew Apps, University of Birmingham Prof. Mark Humphries, University of Nottingham Prof. Mark Walton, University of Oxford Dr. Laura Grima, HHMI’s Janelia Research Campus Dr. Tiago Monteiro, University of Aveiro Dr. Adithya Rajagopalan, NYU Emma Scholey, University of Birmingham Kubra Karatas, University of Birmingham This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

Sept. 19, 2025

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