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Faculty positions in computational/theoretical neuroscience and NeuroAI at OIST, Japan

by Erik De Schutter

The Okinawa Institute of Science and Technology (https://www.oist.jp/) is an international, interdisciplinary graduate university in Japan, operating entirely in English and committed to empowering world-class researchers with the freedom, resources, and support they need to drive transformational discoveries. We are seeking outstanding scientists to join our community as tenure-track faculty members, as part of an expansion in two broad areas. We aim to appoint two tenure-track assistant professors in: * Life Sciences & Neuroscience: including theoretical and AI approaches We provide: * Core research funding for your scientific vision * Fully funded PhD students, postdoctoral researchers, lab technicians, and staff scientists * World-class core facilities and support staff * Opportunities for amplifying your scientific impact (e.g., technology transfer, outreach, collaborations, etc.) * Full administrative support and assistance with living and working in Okinawa * Competitive compensation package, including housing and commuting allowances, relocation support, family benefits, and dual-career opportunities Our culture and environment: * No faculty hierarchies or departments * A thriving international research community representing 73 countries and territories * A vibrant, safe, multicultural setting on the beautiful island of Okinawa OUR SCIENTIFIC VISION OIST empowers faculty to pursue fundamental, curiosity-driven research while encouraging connections across disciplines. Our faculty publish in top-tier journals, lead international collaborations, and attract prestigious fellowships. We support researchers not only as scientists but also as mentors, leaders, and innovators. To promote scientific excellence through a diverse and inclusive community, OIST actively encourages applications from women and other underrepresented groups. We provide a family-friendly working environment, including a bilingual child development center on campus. APPLY * Life Sciences & Neuroscience https://apply.interfolio.com/188856

July 15, 2026

Graduate student / Postdoc position

by Goodhill, Geoffrey

The emergence of spontaneous activity during cortical development Labs of Geoff Goodhill and Linda Richards Washington University School of Medicine, St Louis We are looking for a Postdoc or Graduate student to analyze and model the emergence of early patterns of spontaneous neural activity in developing cortex. We are interested in questions such as whether functionally distinct areas show common or distinct initial activity patterns, and how these patterns relate to subsequent function. This project is based on data from the dunnart (an Australian marsupial), an animal model which offers unique advantages over rodents for studying early activity since dunnarts are born at a much earlier stage of brain development. Our initial work on this project is described in https://www.pnas.org/doi/10.1073/pnas.2208654120. We are now using 2-photon imaging of soma-targeted GCaMP8m which offers data with much higher resolution and detail. The postdoc/student will work between the Goodhill and Richards labs, which are both located in a new 60,000 m^2 building dedicated entirely to neuroscience research which opened in 2023. USNews currently ranks Washington University =6th in the world for Neuroscience and Behavior. Applicants should have a strong math/engineering background and an interest in neuroscience, particularly spontaneous activity and the developing brain. To apply send a detailed CV including names of at least 3 referees and a cover letter explaining your interest in the position to g.goodhill(a)wustl.edu. Review of applications will begin immediately. Potential graduate students please note that there is an upcoming deadline of Aug 1st for applications to relevant Engineering graduate programs at WashU. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 4370 Duncan Ave. St Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd Linda J. Richards Edison Professor and Chair, Department of Neuroscience Director, McDonnell Center for Cellular & Molecular Neurobiology Washington University School of Medicine

July 13, 2026

From Binghamton to Granada: COMPLEX NETWORKS 2026 is open for submissions

by Hocine Cherifi

Dear colleagues, We would like to remind you that the 15th International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS 2026) will take place in Granada, Spain, from December 2–4, 2026, with tutorials on December 1. This anniversary edition will continue the tradition of bringing together researchers from network science, complex systems, graph learning, computational social science, physics, computer science, mathematics, biology, economics, and many other fields. The program will feature keynote lectures by Alexandra Brintrup, Nitesh Chawla, Kimmo Kaski, Bruno Lepri, and Eckehard Schöll, as well as tutorials by Fariba Karimi and Huijuan Wang. Submissions are invited in two formats: · Full papers, up to 12 pages, for publication in the Springer proceedings; · Extended abstracts, up to 4 pages, for presentation at the conference and publication in the Book of Abstracts with ISBN. Selected contributions will also be considered for journal special issues. Submission deadline: September 2, 2026 Submission: https://cmt3.research.microsoft.com/COMPLEXNETWORKS2026/ Website: https://complexnetworks.org/ As a reminder, the Springer proceedings of COMPLEX NETWORKS 2025, held last December in Binghamton, are currently freely available. They provide a good overview of the diversity of contributions presented at the conference, across theory, methods, and applications of complex networks. Free access to the 2025 proceedings, Volumes 1–4, is available until July 30, 2026: https://drive.google.com/drive/folders/11_Xzh--IUPNwj6HE-Hzj8cIhXL-LLbMZ?us… We warmly invite you to submit your work and to share this call with colleagues, students, postdocs, and young researchers who may be interested. Best regards, Hocine Cherifi General Co-Chair, COMPLEX NETWORKS 2026 Join us at COMPLEX NETWORKS 2026 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Université Bourgogne Europe Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/> Evolutionary Intelligence <https://link.springer.com/journal/12065>

July 13, 2026

search for Assistant Professor in NeuroAI

by xaq＠cmu.edu

Carnegie Mellon University (CMU) invites applications for a tenure-track Assistant Professor in the Neuroscience Institute from scholars working broadly at the intersection of Neuroscience and Artificial Intelligence. We welcome a wide range of research programs, provided they maintain a substantive connection to neuroscience through data, theory, or modeling. Examples of relevant research topics include but are not restricted to: generative models of brain data, AI-based analysis tools for neural activity or connectivity, explainable AI grounded in cognitive/neuroscience principles, human-AI alignment, normative agentic models of animal behavior, mechanistic models of memory or learning in neural networks, descriptive models of invariant representations and dynamics, and embodiment in both natural and artificial systems. The successful candidate will join a vibrant, collaborative environment spanning multiple departments at CMU. Our NeuroAI group leverages CMU’s world-class research in machine learning and AI, robotics, cognitive and systems neuroscience, neurotechnology, data science, engineering, and biological sciences. Joint appointments and courtesy appointments across departments are common in the Neuroscience Institute, and may be an opportunity for some candidates. CMU has a well-established structure for interdisciplinary collaboration in this domain, including specialized programs in neural computation and machine learning, and neurorobotics. The NI also encourages collaboration with industry and commercialization of new ideas. Aspiring entrepreneurs can be supported by a variety of business resources at CMU such as the Swartz Center and new entrepreneurship initiatives. Candidate responsibilities include establishing a visible, externally funded research program; teaching and mentoring in NI; recruiting and supervising both masters and Ph.D. students; and contributing to curricular innovation, including emerging initiatives, such as a new masters program in neural technologies. Information about the Neuroscience Institute can be found at https://www.cmu.edu/ni/.

July 13, 2026

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

by Jochen Triesch

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

July 10, 2026

Workshop at CNS2026: applications of detailed microcircuit models

by Etay Hay

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

July 9, 2026

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

by Jan Müller

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

July 8, 2026

Multiscale Modeling with MOOSE and Jardesigner at CNS*2026

by MOOSE Neuro

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

July 8, 2026

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

by Spiros Chavlis

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

July 7, 2026

Postdoctoral Positions in Computational Neuroscience & AI @ EPFL, CH

by Alexander Mathis

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

July 6, 2026

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

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

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

July 6, 2026

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

by Alessandro Gifford

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

July 3, 2026

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

by Jorge Almeida

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

July 1, 2026

[jobs] Postdoc position in Surrey (UK): Research Fellow in Clinical Neuroscience, Sleep and Dementia

by Haar, Shlomi

The postholder will contribute to an exciting international, multi‑centre research programme<https://www.asapcrn.org/research-community/teams/sharott> investigating the neural mechanisms underlying sleep and circadian rhythm disturbances in Parkinson’s disease. You will work closely with a multidisciplinary team in Surrey and Oxford, and with collaborators across the ASAP Collaborative Research Network (CRN), an international, multidisciplinary, multi-institutional network working to address high-priority research questions about Parkinson's disease, supported by ASAP, in partnership with The Michael J. Fox Foundation for Parkinson’s Research (MJFF). The role We are seeking an outstanding Research Fellow to help spearhead research to understand the relationship between EEG-defined oscillations during sleep and excessive sleepiness during the daytime in people living with Parkinson's and to develop and implement neuromodulation approaches to alleviate daytime sleepiness. The project is funded by Aligning Science Across Parkinson's and the William J. Fox Foundation, and will be conducted at the Surrey Sleep Research Centre at the University of Surrey. The research is part of a collaborative effort between researchers at the Universities of Surrey, Oxford, Harvard and Zurich. The successful applicant will, together with other researchers and clinical staff members, be responsible for conducting the clinical research protocol, analyses of EEG and behavioural data, delivering neuromodulation interventions, and preparing publications. Candidates are expected to hold a PhD in Neuroscience or related subject area, have experience in clinical neuroscience research and have excellent data analysis and programming skills. The successful applicant will be an active member of the Surrey Sleep Research Centre, and is expected to collaborate closely with researchers at Oxford, Harvard and Zurich. About you Crucial skills include EEG analysis and programming. Desirable skills are prior experience of working with human participants patients, particularly those with Parkinson's, dementia, or other cognitive disorders, experience in assessing cognitive function using standardised and experimental tasks, conducting non-invasive brain stimulation and/or EEG recording procedures. However, the role involves substantial training to bring the research fellow to the highest level of competence in those research approaches. How to apply Please apply on the University of Surrey website: https://jobs.surrey.ac.uk/Vacancy.aspx?id=15619 For more information and informal discussions, please contact Prof Dijk (d.j.dijk(a)surrey.ac.uk; 01483 689341)

June 30, 2026

2026 INCTN meeting @ Trieste, Italy - 22-24 Sept - abstract submission deadline approaching

by Eugenio Piasini

Dear all, This is a reminder that the abstract submission deadline is approaching for the 2026 meeting of the Italian Network for Computational and Theoretical Neuroscience, which will take place from September 22-24th in Trieste. Submit your abstract by July 10th! We look forward to a great programme with invited and contributed talks on Computational, Theoretical, and Systems Neuroscience, led by keynotes from Máté Lengyel, Sandro Romani, and Fanny Cazettes. We will also have a number of contributed talks and poster sessions to give everybody an opportunity to share their research; and finally, there will be ample time for discussions by the sea side. Please visit our website to see the full lineup of invited speakers and for more information: https://inctn.it/ or register directly here<https://indico.sissa.it/event/190/>. We look forward to seeing you all in Trieste ! The organisers: Francesca Mastrogiuseppe, Eugenio Piasini, and Sebastian Goldt

June 30, 2026

[jobs] Postdoc position in Toulouse (France): Deep learning models of the Global Workspace

by Rufin VanRullen

Postdoctoral position available in an ERC-funded project exploring deep-learning implementations of the Global Workspace theory. We are seeking a highly motivated and dedicated post-doc to join our group in Toulouse, France in the Fall/Winter of 2026. The successful candidate will have a PhD and formal training in AI, Computer Science or related fields (e.g. computational neuroscience), and a keen interest in cognitive neuroscience. Our ERC Advanced Grant "GLoW" (2023-2028) aims to take inspiration from neuroscience and cognitive theories to build deep neural network models of cognition, capable of integrating or "grounding" information across sensory and linguistic modalities, and of displaying flexible cognitive behavior. Details on the ideas developed in the project can be found in this Opinion paper <https://www.cell.com/trends/neurosciences/fulltext/S0166-2236(21)00077-1>. The project is headed by Rufin VanRullen (CNRS, Toulouse, France), with external advisors Ryota Kanai (Araya, Tokyo, Japan) and Murray Shanahan (ICL/Deepmind, London, UK). Our lab <https://rufinv.github.io/> is part of the CerCo Institute <https://cerco.cnrs.fr/en> as well as the Artificial and Natural Intelligence Toulouse Institute (ANITI) <https://aniti.univ-toulouse.fr/en/>. Our team has many opportunities to collaborate with neuroscientists, computer scientists, linguists, roboticists etc. We have access to in-house (GPU) computing clusters as well as research-dedicated supercomputers. Typical appointments for post-docs are for 1 year, renewable for a 2nd year and beyond. The beginning post-doc salary is about 2,500 Euros/month (net), and can reach 3,500 Euros/month (net) for more experienced post-docs. The application procedure and additional information can be found on the CNRS portal <https://emploi.cnrs.fr/Offres/CDD/UMR5549-LESMAR-017/Default.aspx?lang=EN>. Please direct any query to: rufin.vanrullen [at] cnrs.fr --

June 29, 2026

Postdoctoral Fellow – Generative AI for Mental Health at the Global Center for AI in Mental Health (GCAIMH) in New York

by Salvador Dura-Bernal

Postdoctoral Fellow – Generative AI for Mental Health Global Center for AI in Mental Health (GCAIMH) University at Albany (SUNY) and SUNY Downstate Health Sciences University Albany, NY / Brooklyn, NY (Hybrid) Two-Year Fellowship Position Summary The Global Center for AI in Mental Health (GCAIMH),<https://gcaimh.org/> a collaboration between the University at Albany and SUNY Downstate Health Sciences University, seeks an outstanding Postdoctoral Fellow in Generative Artificial Intelligence to advance innovative AI solutions that improve mental health access, quality, and outcomes at scale. This position is funded through the Empire AI Postdoctoral Fellows Program and offers a unique opportunity to work at the intersection of artificial intelligence, mental health, global health, and public-good technology. Working closely with an interdisciplinary team of researchers, clinicians, computer scientists, and global health partners across SUNY institutions and international collaborators, the Fellow will contribute to the research, design, development, deployment, and evaluation of cutting-edge generative AI tools that support both frontline mental health interventions and evidence-based psychotherapy. Research Focus The Fellow will play a leading role in the development and evaluation of AI-powered initiatives for expanding access and equity in mental health, including but not limited to: JulienPFA: An AI-supported implementation tool designed to strengthen Psychological First Aid (PFA) delivery during humanitarian crises, disasters, terrorism, and mass violence events. The system offers just-in-time guidance to non-specialist providers while supporting implementation fidelity, workforce development, and ethical learning systems. TherAssist: A clinician-facing generative AI platform that supports psychotherapists delivering evidence-based treatments for anxiety and depression through real-time analysis, personalized treatment recommendations, and fidelity monitoring. Responsibilities The successful candidate will: * Research, design, develop, and evaluate generative AI models for mental health applications. * Deploy and use retrieval-augmented generation (RAG) to constrain large language models (LLMs) and multimodal AI systems. * Conduct research using large-scale clinical, behavioral, and linguistic datasets. * Utilize Empire AI computing resources for model training, evaluation, and deployment. * Develop methods for responsible, ethical, and explainable AI in healthcare settings. * Collaborate with clinicians, mental health researchers, software engineers, and data scientists. * Publish findings in peer-reviewed journals and present at national and international conferences. * Contribute to grant proposals and research dissemination activities. * Mentor graduate and undergraduate students involved in AI and mental health research. * Support partnerships with international collaborators focused on global mental health innovation. Required Qualifications * Ph.D. completed by start date, and not more than 5 years ago, in Computer Science, Artificial Intelligence, Machine Learning, Information Science, Data Science, Computational Neuroscience, Biomedical Informatics, or a closely related social science field with demonstrated skills and experience in computer science/artificial intelligence/machine learning. * Demonstrated expertise with large language models, retrieval-augmented generation (RAG), agentic AI systems, and/or multimodal AI. * Strong programming skills in Python and experience developing web-based AI applications with modern frameworks (e.g., Google Cloud Vertex, Gemini, CloudRun, Kubernetes, Firebase). * Experience working with large datasets and high-performance computing environments. * Strong publication record or evidence of research productivity. * Excellent written and verbal communication skills, including the ability to communicate clearly and effectively about complicated scientific topics with a range of audiences. * Ability to work effectively in interdisciplinary and collaborative research environments. Preferred Qualifications * Experience applying AI to healthcare, mental health, psychology, or social science domains. * Familiarity with responsible AI, AI ethics, fairness, privacy, and safety considerations. * Knowledge of natural language processing, speech analysis, or conversational AI systems. * Experience working with clinical or healthcare data. Research Environment The mission of GCAIMH is to leverage artificial intelligence to improve mental health as a public good through innovative research, workforce development, and scalable solutions with local and global impact. See website: https://gcaimh.org<https://gcaimh.org/>. To support this mission, the Fellow will have access to Empire AI's state-of-the-art high-performance computing infrastructure, enabling research that requires large-scale AI model training and evaluation. Appointment Details * Position Title: Postdoctoral Fellow, Generative AI for Mental Health * Appointment Length: Two years * Salary Range: $85,000 annually, plus benefits. * Location: The position will be physically located at the University at Albany with occasional site visits to SUNY Downstate in Brooklyn. Hybrid arrangements will be considered. * Start Date: Fall 2026 (anticipated) Application Instructions Applicants should submit: 1. Cover letter describing research interests and fit for the position 2. Curriculum vitae 3. Representative publications or writing samples 4. Contact information for three professional references Submit application materials to: Amy Nitza, Ph.D. Director, Global Center for AI in Mental Health University at Albany anitza(a)albany.edu<mailto:anitza@albany.edu> Review of applications will begin immediately. The position will remain open till filled. Commitment to Public Impact This position offers a rare opportunity to develop AI technologies that address critical challenges in mental health care, including workforce shortages, treatment quality, implementation fidelity, and equitable access to services worldwide. The successful candidate will contribute to innovations designed to improve mental health outcomes for diverse populations while advancing responsible and ethical AI development. ________________________________ The contents of this email message and any attachments are confidential and are intended solely for the addressee. The information may also be legally privileged. This transmission is sent in trust, for the sole purpose of delivery to the intended recipient. If you have received this transmission in error, any use, reproduction or dissemination of this transmission is strictly prohibited. If you are not the intended recipient, please immediately notify sender by reply email or by (718) 270-HELP.

June 29, 2026

[CFP Deadline Extension] BEACON 2026 Workshop @ ICMI – Grounding Abstract Concepts in Multimodal Interaction (Deadline: July 17, 2026)

by rahul.simha.is＠gmail.com

[Apologies for multiple posts; please distribute to interested colleagues and relevant mailing lists.] Dear all, We are pleased to announce that the submission deadline for the BEACON 2026 Workshop — Beyond the Concrete: Grounding Abstract Concepts in Multimodal Interaction, co-located with ACM ICMI 2026, has been extended to July 17, 2026. BEACON 2026 brings together researchers working on multimodal representation learning, embodied and developmental models, robotics, cognitive science, and hybrid cognitive architectures. The workshop aims to consolidate computational approaches, datasets, and evaluation methodologies for abstract concept grounding while identifying shared assumptions and open research challenges. A keynote talk will be given by Professor Gabriella Vigliocco, Professor of the Psychology of Language at University College London. Topics of interest include, but are not limited to: Grounding abstract concepts in multimodal interaction Hierarchical and developmental models of abstraction Cross-modal abstraction and alignment Embodied and interactive concept learning Multimodal action and goal representations Affective and contextual abstraction Embodied and interactive learning of abstract language Hybrid cognitive architectures for abstract grounding Evaluation methodologies for abstract concept grounding Multimodal datasets and benchmarks for abstract concepts Applications of abstract grounding in HCI and HRI Submission Formats Short papers: 4 pages Full papers: 8 pages All accepted and presented papers will be included in the proceedings of the ACM ICMI 2026 workshops. Submission Instructions Submit through the ICMI 2026 PCS portal: https://new.precisionconference.com/icmi26/ After signing in, select: SIGCHI → ICMI 2026 → ICMI 2026 Workshop: Beyond a Concrete: Grounding Abstract Concepts in Multimodal Interaction Then click Go. Updated Important Dates Submission deadline: July 17, 2026 Notification of acceptance: July 31, 2026 Camera-ready submission: August 7, 2026 Workshop: October 9, 2026 Workshop website: https://beacon2026.github.io/ We welcome contributions from the multimodal interaction, artificial intelligence, robotics, human–computer interaction, human–robot interaction, and cognitive science communities. For questions, please contact Rahul Singh Maharjan at rahul.simha.is(a)gmail.com Best regards, Rahul Singh Maharjan on behalf of the BEACON 2026 Organizers

June 29, 2026

2nd Call for Participation: International Artificial Intelligence Summer School – IAISS 2026, Sept 20-24, Riva del Sole Resort & SPA @ Tuscany * Registration: by July 23 *

by ICAS Organizing Committee

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * IAISS2026, A Residential Summer School in Frontier AI IAISS 2026 is a full-immersion 5-day Summer School in Tuscany on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. 📍 Riva del Sole Resort & SPA @ Tuscany, Italy, 🗓 Sept 20-24, 2026 🔗 https://2026.iaiss.cc iaiss(a)icas.cc 🎤 LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. Stefano V. Albrecht, Nanyang Technological University, Singapore Giuseppe De Giacomo, University of Oxford, UK Christoph Feichtenhofer, Meta Superintelligence Labs, USA Sven Giesselbach, T-Systems International, Germany Jamie Hayes, Google DeepMind, UK Sumi Helal, University of Bologna, Italy Albert Q. Jiang, Mistral AI, Paris, France & University of Cambridge, UK Marine Le Morvan, INRIA Saclay, France Bruno Lepri, FBK, Italy Sebastian Lins Risi, Sakana AI, Japan & IT University of Copenhagen, Denmark George Paliouras, National Center for Scientific Research "Demokritos", Athens, Greece Panos Pardalos, University of Florida, USA More Lecturers TBA 🔗 https://2026.iaiss.cc/lecturers/ 🔗 https://2026.iaiss.cc/lectures/ 🚨 REGISTRATION: by July 23 (AoE) https://2026.iaiss.cc/registration/ Applicant *may* submit (during the Registration Process) a research abstract (max 2 pages; any format) for presentation. School directors and the scientific committee will review the abstracts and will recommend for poster and/or short talk. Abstract can be submitted by July 23 during the registration process. PAST EDITIONS: https://2026.iaiss.cc/previous-editions/ IAISS Norbert Wiener Best Presentation Award in Artificial Intelligence: https://2026.iaiss.cc/best-presentation-award/ VENUE: https://2026.iaiss.cc/venue/ Riva del Sole Resort & SPA Località Riva del Sole‚ Castiglione della Pescaia (Grosseto) CAP 58043‚ Tuscany‚ Italy p: +39-0564-928111 e: booking.events(a)rivadelsole.it w: https://www.rivadelsole.it/en/ ✅ CERTIFICATE & 8 ECTS: The International Artificial Intelligence Summer School – IAISS 2026 is a full-immersion five-day Summer School at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. The Summer School provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment. PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the IAISS attendants. The Summer School will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student – BSc Student) attending the Summer School. Language: English. To participate in the IAISS 2026, all attendants must (1/2) register for the school (by July 23, 2026) and (2/2) book accommodation at the school venue, “Riva del Sole Resort & SPA” (by July 23, 2026); all attendants must stay at the “Riva del Sole Resort & SPA”. Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the IAISS organizing committee (iaiss(a)icas.cc) IAISS is a residential school, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking.events(a)rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book an apartment in single use. IAISS is organized as a non-profit scientific event. Please note that only IAISS registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the IAISS Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking. Anyone interested in participating in IAISS 2026 should register as soon as possible: 👉 https://2026.iaiss.cc/registration/ See you in Riva del Sole in September! IAISS 2026 Organizing Committees. https://2026.iaiss.cc iaiss(a)icas.cc https://www.linkedin.com/groups/19146028/ Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: https://2026.iaiss.cc the News Section: https://2026.iaiss.cc/category/news/ and the FAQ: https://2026.iaiss.cc/faq/ * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *

June 26, 2026

Doctoral Summer School on Robotics and Intelligent Machines

by Calogero Maria Oddo

𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗿𝗲 𝗼𝗽𝗲𝗻 𝗳𝗼𝗿 𝘁𝗵𝗲 𝟰𝘁𝗵 𝗗𝗼𝗰𝘁𝗼𝗿𝗮𝗹 𝗦𝘂𝗺𝗺𝗲𝗿 𝗦𝗰𝗵𝗼𝗼𝗹 𝗼𝗻 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗠𝗮𝗰𝗵𝗶𝗻𝗲𝘀 (𝗗𝗥𝗜𝗠𝗦 𝟮𝟬𝟮𝟲) Join us in the seaside of Tuscany, Italy, for a week of training, innovation, hands-on experimentation, and international networking. From August 30 to September 6, 2026, DRIMS will bring together PhD students, researchers, and professionals from academia and industry for an immersive experience dedicated to the latest advances in robotics and intelligent machines. The programme combines lectures, hands-on activities, multidisciplinary teamwork, project-based learning, and networking opportunities with leading researchers and peers from around the world. Participants will have the opportunity to deepen their knowledge in areas including: • 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗠𝗮𝗰𝗵𝗶𝗻𝗲𝘀 • 𝗠𝗲𝗰𝗵𝗮𝗻𝗶𝗰𝗮𝗹 𝗗𝗲𝘀𝗶𝗴𝗻 • 𝗩𝗶𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗧𝗼𝘂𝗰𝗵 𝗦𝗲𝗻𝘀𝗶𝗻𝗴 • 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • 𝗛𝘂𝗺𝗮𝗻–𝗥𝗼𝗯𝗼𝘁 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 • 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗡𝗲𝘂𝗿𝗼𝗔𝗜 𝗳𝗼𝗿 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 Several full and partial registration fee waivers are available thanks to the generous support of the IEEE Robotics and Automation Society (IEEE RAS), the Italian Institute of Robotics and Intelligent Machines (I-RIM), the BRIEFS research infrastructure, and several sponsoring companies (https://www.phdrims.com/sponsors.php<https://www.phdrims.com/sponsors.php?s=7>). 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘁𝗼 𝗮𝗽𝗽𝗹𝘆: • https://www.phdrims.com/ • https://www.santannapisa.it/en/alta-formazione/4th-Doctoral-Summer-School-o… We look forward to welcoming the next generation of researchers and innovators in robotics and intelligent machines, The DRIMS Steering and Scientific Committee https://www.phdrims.com/comitato_organizzatore.php<https://www.phdrims.com/comitato_organizzatore.php?s=3> -- Calogero M. Oddo, PhD (‪Scholar‬<https://scholar.google.com/citations?hl=it&user=y1rffgkAAAAJ&view_op=list_w…>, Scopus<https://www.scopus.com/authid/detail.uri?authorId=16176089500>) Associate Professor of Bioengineering, Sant'Anna School of Advanced Studies, Pisa, Italy https://www.santannapisa.it/en/calogero-maria-oddo http://www.santannapisa.it/en/neuro-robotic-touch-laboratory Vice-Director, Centro Interdisciplinare Linceo Giovani https://www.lincei.it/en/oddo-calogero-maria email: calogero.oddo(a)santannapisa.it<mailto:calogero.oddo@santannapisa.it> While it suits me to email now, I do not expect a reply outside of your own working hours.

June 25, 2026

Deadline approaching: Call for Abstracts for the Bernstein Conference 2026

by Bernstein Conference

+++ The Bernstein Network Computational Neuroscience invites proposals for Poster Sessions at the Bernstein Conference 2026 in Frankfurt am Main. +++ ____ *Bernstein Conference * Each year, the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries.** https://www.bernstein-conference.de/ <https://www.bernstein-conference.de/> ____ *IMPORTANT DATES * Bernstein Conference: *September 28 – October 1, 2026 * Deadlines: *Poster Session* abstract submission: *July 1, 2026 at 15:00 CEST Travel Grant *application: *July 1, 2026 at 17:00 CEST * Notification of acceptance: *July 2026 **____ ABSTRACTS* We invite the computational neuroscience community to submit their abstracts for Poster Sessions. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/ <https://bernstein-network.de/bernstein-conference/abstract-submission/> ____ *TRAVEL GRANTS* To support the participation of young researchers at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 €. Further information can be found here: https://bernstein-network.de/bernstein-conference/early-career-scientists/t… <https://bernstein-network.de/bernstein-conference/early-career-scientists/t…> ____ *INVITED SPEAKERS* Roshan Cools (Donders Institute for Brain, Cognition and Behaviour, The Netherlands) Benjamin Grewe (Institute of Neuroinformatics of the ETH and UZH, Switzerland) Andreas Herz (LMU Munich, Germany) Ewelina Knapska (Nencki Institute of Experimental Biology, Poland) John Krakauer (Champalimaud Foundation, Portugal) Jeehyun Kwag (Seoul National University, Korea) Anna Levina (University of Tübingen, Germany) Richard Naud (University of Ottawa, Canada) Bence Ölveczky (Harvard University, USA) Sandro Romani (Janelia Research Campus, USA) ____ *CONFERENCE COMMITTEE* Stefan Rotter (Conference Chair) Matthias Kaschube (Conference Host) Tim Vogels (Program Chair) Panayiota Poirazi (Program Vice Chair) Katharina Wilmes (Workshop Chair) Juan Álvaro Gallego(Workshop Vice Chair) & Nicolas Brunel, Alex Cayco-Gajic, Monika Jadi, Jennifer Li, Wiktor Młynarski, Richard Naud, Joseph Raimondo, Tatyana Sharpee, Taro Toyoizumi, Eleni Vassilaki ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de <mailto:bernstein.conference@fz-juelich.de>

June 24, 2026

[Deadline extended] Call for participation - Summer School on Computational Decision Sciences, London, Sept 7-11

by Subramoney, Anand

Dear all, It’s our pleasure to announce the Graduate Summer School on Computational Decision Sciences (GSS-CDS<https://center-decision-sciences.com/cds-graduate-school-2026/>)––the second edition of the summer school at the Centre for Decision Sciences, Royal Holloway, University of London. The registration deadline has been extended. What GSS-CDS will bring together an interdisciplinary audience tackling decision making in different scientific fields (see Program<https://center-decision-sciences.com/program-2026/>). The focus is on mathematical and computational modelling, integrating concepts and methods from mathematical psychology, computational psychiatry, computational neuroscience, computational social sciences, machine learning, and cultural evolution. Attendees will benefit from talks from leading researchers and practical hands-on sessions. Attendees will also have the opportunity to receive career advice during social networking events and reflect critically about research practices in EDI sessions. Where and When GSS-CDS will take place at Stewart House, within Senate House<https://center-decision-sciences.com/directions/>, in Central London, on September 7th-11th (see Schedule<https://center-decision-sciences.com/schedule-2026/>). Target audience GSS-CDS is targeted towards attendees from diverse fields (e.g., psychology, neuroscience, social sciences, computer science, machine learning etc.) and career stages (masters, PhD, postdoc, and junior PI). Prerequisite A basic background knowledge in elementary statistics (e.g., probability theory) and programming in Python/R is highly recommended to master the technical skills, but no prior experience with computational modeling is required. Registration Course fee is £480 (includes the registration fee, lunch, tea/coffee breaks, reception events and VAT). To register, please visit this page<https://center-decision-sciences.com/registration-2/>. Places are limited and registrations will close on Monday, July 20th, at 5pm UK time (extended). Please feel free to share this information with anyone you think might be interested in participating. Looking forward to seeing you all in September. Best wishes, Gabriele, Nura, Anand This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

June 23, 2026

Last Call: Apply to the Master in Data Management and Curation in Trieste, Italy (Deadline: 30 June 2026)

by Eugenio Piasini

Dear all, We would like to remind you that applications for the 2026–2027 edition of the Master in Data Management and Curation (MDMC), jointly organized by AREA Science Park<https://www.areasciencepark.it/en/> and SISSA<https://www.sissa.it/> in Trieste, Italy, are open until 30 June 2026, 1PM CEST. MDMC is an advanced postgraduate program designed to train the next generation of professionals in Research Data Management, FAIR data, Open Science, data stewardship, semantic technologies, and AI-enabled data infrastructures. The program combines lectures from international experts with a six-month internship carried out within leading research institutions and organizations like OGS<https://www.ogs.it/en>, FBK<https://energy.fbk.eu/>, FIF<https://www.fegato.it/eng/>, CNR-IOM<https://www.iom.cnr.it/> and several companies. Multiple forms of financial support are available for outstanding candidates: • 5 institutional fellowships offered by OGS<https://www.ogs.it/en>, SISSA<https://www.sissa.it/>, and AREA Science Park,<https://www.areasciencepark.it/en/> covering the participation fee and, in some cases, including an additional financial grant. • 8 additional tuition fee waivers for the highest-ranked candidates admitted to the program. • 6 excellence grants of €3,000. • Additional financial support opportunities for non-resident students. The total amount of available support makes MDMC accessible to a large number of talented candidates interested in pursuing a career in data management, data stewardship, Open Science, and research infrastructures. Further details on the program, admission requirements, and available fellowships can be found at: https://www.areasciencepark.it/call/mdmc/

June 22, 2026

Doctoral and postdoctoral studies in the neuroscience of dynamic action planning and motor control, University of Montreal

by Paul Cisek

Doctoral and postdoctoral studies in the neuroscience of dynamic action planning and motor control Department of Neuroscience, University of Montreal Applications are invited for doctoral and postdoctoral studies in systems neuroscience in the laboratories of Andrea Green and Paul Cisek. Successful applicants will join a multidisciplinary research group studying how the primate brain controls real-time, natural behavior in dynamic environments. Different projects address how we specify and plan potential actions such as reaching under changing conditions as we move through our environment, decide between actions even during ongoing behavior, control and learn to execute movements in different behavioral contexts (e.g., body stationary vs. in motion) and integrate multisensory cues to estimate and keep track of our motion through space. Research in our group involves single- and multi-electrode neural recording experiments in non-human primates, human behavioral studies using techniques such as transcranial magnetic stimulation and galvanic vestibular stimulation, and computational modeling of the nervous system. New collaborative projects will combine use of sophisticated spatial motion systems and virtual reality environments to study naturalistic behavior in both humans and non-human primates and develop computational models of real-time action selection, planning and control. For more information, see: https://neurosciences.umontreal.ca/recherche/les-chercheurs/andrea-green/ and https://cisek.org/pavel/ Multiple positions are available. All students with a strong background in biological sciences, engineering, mathematics, computer science, physics or psychology and an interest in system-level study of the brain are encouraged to apply. Prior experience in neurophysiology, behavioral neuroscience and/or computational modeling of neural systems is highly desirable. Depending on the applicant's qualifications and interests, they will help to design and conduct behavioral and neurophysiological experiments, analyze data, develop theoretical models of neural systems, prepare manuscripts for publication, and participate in international conferences. Interested candidates are asked to send a curriculum vita, copies of academic transcripts, a statement of research interests and the names and contact information for two references, to Andrea Green (andrea.green(a)umontreal.ca<mailto:andrea.green@umontreal.ca>) and Paul Cisek (paul.cisek(a)umontreal.ca<mailto:paul.cisek@umontreal.ca>). Applications will be accepted until the positions are filled, but preference will be given to applications received before July 31st, 2026. Paul Cisek, PhD Département de neurosciences Université de Montréal Physical: 2960 chemin de la tour, local 4117 Montréal, QC H3T 1J4 CANADA Mailing: CP 6128 Succursale centre-ville, Montréal, QC H3C 3J7 CANADA e-mail: paul.cisek(a)umontreal.ca<mailto:paul.cisek@umontreal.ca> Web: www.cisek.org/pavel<http://www.cisek.org/pavel>

June 22, 2026

Andrew Barto speaking in Developing Minds Lecture Series on June 25

by Jochen Triesch

Dear colleagues, On June 25, the Developing Minds global online lecture series is proud to host Andrew Barto, Prof. Emeritus of Univ. of Massachusetts Amherst, USA, speaking on „Rediscovering Reinforcement Learning“. His talk will take place at: 10:00 am EDT (Eastern Daylight Time, USA) 14:00 UTC (Universal Coordinated Time) 16:00 CEST (Central European Summer Time) 23:00 JST (Japan Standard Time). The talk will be hosted via zoom: https://uni-frankfurt.zoom-x.de/j/62410045708?pwd=EmEDiJtB0NZ0XPbSBngt6sbx2… Meeting-ID: 624 1004 5708 Kenncode: 883974 Abstract: The idea of reinforcement learning (RL) as a key principle of animal learning has been around at least since Edward Thorndike proposed the “Law of Effect” in 1898. Machine implementation of this principle began with electro-mechanical machines in the 1930s, and the earliest idea for computer implementation was probably Turing’s 1948 proposal of a computer implementation of a “pleasure-pain system”. In this talk I review what has followed Turing’s unimplemented proposal, starting with the first computer experiments in 1954, up to what we now know as modern computational RL. Short Bio: Andrew Barto is Professor Emeritus of Computer Science, University of Massachusetts Amherst, having retired in 2012. He served as Chair of the UMass Department of Computer Science from 2007 to 2011. He received a B.S. with distinction in mathematics from the University of Michigan in 1970, and a Ph.D. in Computer Science in 1975, also from the University of Michigan. He joined the Computer Science Department of the University of Massachusetts Amherst in 1977. Before retiring he co-directed the Autonomous Learning Laboratory at UMass Amherst, which produced many notable machine learning researchers. Professor Barto is a Fellow of the American Association for the Advancement of Science (AAAS) and a Fellow and Life Member of the IEEE. He received the 2004 IEEE Neural Network Society Pioneer Award for contributions to the field of reinforcement learning, the IJCAI-17 Award for Research Excellence for groundbreaking and impactful research in both the theory and application of reinforcement learning, and a University of Massachusetts Neurosciences Lifetime Achievement Award in 2019. Most recently, he and his former doctoral student, Richard Sutton, were co-recipients of the 2024 Association for Computing Machinery’s A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning, and he and Sutton received the 2026 IEEE Frank Rosenblatt Award for contributions to reinforcement learning and artificial intelligence. He has published over one hundred papers or chapters in journals, books, and conference and workshop proceedings. He is co-author with Sutton of "Reinforcement Learning: An Introduction," MIT Press, 1998. A much expanded second edition was published in 2018. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt Recent publications: https://www.nature.com/articles/s41467-025-64234-z https://ieeexplore.ieee.org/abstract/document/11204381?casa_token=RBlsm2RTa…

June 22, 2026