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

Open Research Positions at NeuroAI start-up Natural Intelligence

by Natural Intelligence

Dear all, *Natural Intelligence (NISYS GmbH)* is a deep-tech startup at the intersection of neuroscience and machine learning, founded by *Prof. Wolf Singer* and *Dr. Felix Effenberger*. We translate cutting-edge neuroscientific insight into robust, efficient next-gen AI: oscillatory recurrent architectures, self-organization, and learning rules that go beyond backpropagation, implemented in novel analog hardware platforms. We've closed a multi-million euro seed round, securing our funding for the coming years, and are currently building out our core R&D team. *Open roles:* full-time, on-site (Frankfurt), initially 3 years, several openings each: • *Research Lead* - own a research direction and lead a group of scientists. • *Senior Research Scientist* - design and test novel recurrent architectures from biological principles. The call for applications will remain open until early September 2026. We expect to review applications after the call closes and aim to get back to candidates in mid to late September. Full job descriptions at: www.nisys.ai Send applications and questions to hello(a)nisys.ai. Please pass this on to anyone who you think could be a good fit. -- Dr. André Ferreira Castro Head of Research Operations Natural Intelligence (NISYS GmbH)

Aug. 6, 2026

Deadline Extended to August 12 – Call for Extended Abstracts – WWIN 2026 Workshop @ SAB 2026

by Mehdi Khamassi

(Apologies for cross-posting) Dear colleagues, We are pleased to announce that the submission deadline for the first international workshop *“Wanting What is Needed: From Homeostatic Control to Adaptive Behavior”*has been extended to *August 12, 2026*. The workshop will be held on October 19 in Berlin, Germany, as part of The 18th International Conference on the Simulation of Adaptive Behavior (SAB 2026). Workshop website:https://wwin-workshop.github.io/sab2026 <https://wwin-workshop.github.io/sab2026>Keywords (including but not limited to): internal states, homeostasis, allostasis, reinforcement learning, decision making, robotics, adaptive behavior ====================================== Aims of the workshop ====================================== Classical reinforcement learning and cognitive models often begin with externally specified rewards. Biological organisms, by contrast, are autonomous learning agents whose behavior is constrained by the need to sustain their own viability. This workshop asks how internal physiological regulation can ground decision-making, value formation, and motivated behavior. We aim to foster a shared interdisciplinary conversation across machine learning, artificial intelligence, robotics, neuroscience, biology, physiology, ethology, and control theory. The goal is to clarify how homeostatic and allostatic regulation can contribute to adaptive behavior in both biological organisms and artificial agents. ====================================== Invited speakers ====================================== * Lilian A. Weber (Osnabrück University) * Lola Cañamero (CY Cergy Paris University) * Antonio Damasio (University of Southern California, online) ====================================== Extended abstracts for lightning talks and posters ====================================== * Extended abstracts of up to 3 pages (main text) * References, appendices, and acknowledgements are not included in this limit * Springer LNCS style (template available on the workshop website) ====================================== Important dates ====================================== * Extended Abstract Submission Deadline: August 12, 2026 * Notification of Acceptance: August 19, 2026 * Workshop Date: October 19, 2026 (afternoon) We welcome contributions from researchers working across the biological and artificial sciences and look forward to receiving your submissions. Best regards, Mehdi Khamassi CNRS / Sorbonne Université On behalf of the organizing committee: Naoto Yoshida — Kyoto University Ismael Freire — Sorbonne Université Boris Gutkin — École Normale Supérieure Henning Sprekeler — Technical University of Berlin Louis L’Haridon — ENSEA / CNRS Lola Cañamero — CY Cergy Paris University Mehdi Khamassi — CNRS / Sorbonne Université -- Mehdi Khamassi, PhD, HDR Research director (DR2), Centre National de la Recherche Scientifique Institute of Intelligent Systems and Robotics, Sorbonne Université ISIR - BC 173, 4 place Jussieu, 75005 Paris, France phone: +33 6 50 76 44 92 email:mehdi.khamassi@sorbonne-universite.fr https://pages2.isir.upmc.fr/mkhamassi/ Co-director of the master's program in cognitive science (https://cog-sup.fr) Sorbonne Université / Université Paris Cité Visiting Researcher at the Institute of Communication and Computer Systems National Technical University of Athens, Greece https://robotics.ntua.gr/people/

Aug. 6, 2026

Call for Papers and Demos: NeurIPS 2026 Workshop on Foundation Models for the Brain and Body

by Nanda Harishankar Krishna

We are pleased to announce the second edition of the “Foundation Models for the Brain and Body <https://brainbodyfm-workshop.github.io/>” workshop at NeurIPS 2026 in Sydney, Australia. The workshop brings together researchers at the intersection of biosignals, neuroscience, machine learning, and embodied intelligence. We invite submissions of short papers on novel research in neuroscience, biosignal analysis, machine learning, and embodied AI, with a focus on foundation models and representation learning for neural, physiological, and behavioral data. We also invite interactive demo proposals showcasing novel methods, devices, systems, or applications. We broadly define biosignals as any temporal signal directly or indirectly generated by the brain or body. This includes neural recordings such as EEG, MEG, and multi-electrode arrays; physiological signals such as heart rate, respiration, and EMG; and behavioral signals such as pose, gaze, and movement. Submissions may focus on methods, applications, or theoretical insights that advance our understanding and modeling of neural, physiological, and behavioral signals in humans and animals. We particularly encourage work on scalable foundation models that generalize across tasks, subjects, modalities, or domains. Relevant topics include, but are not limited to: • Large-scale pretraining on neural or physiological signals • Scaling laws for biosignal foundation models • Brain-computer interfaces and neural decoding • Transfer learning across recording modalities • Cross-subject and cross-task generalization • Few-shot, zero-shot, and continual learning • Multimodal integration of biosignals • Wearable technology and real-world deployment • Modeling behavioral signals such as pose, gaze, and movement • Foundation models for movement, motor control, and EMG • Embodied intelligence and sensorimotor representation learning • Closed-loop and interactive systems, including BCI control and assistive robotics • Scaling techniques from robotics and control applied to biosignal modeling • Applications to health and clinical diagnosis • Interpretability of biosignal representations • Synthetic data generation and augmentation • Human-AI collaboration for signal interpretation and labeling • Open datasets, benchmarks, and model evaluation • Evaluation protocols and standardized benchmarks across modalities • Reproducibility and standardized reporting *Important Dates (AoE)* • Paper Submission Deadline: *September 4, 2026* • Demo Submission Deadline: *September 19, 2026* • Paper Author Notification: September 29, 2026 • Workshop Date: December 11 or 12, 2026, in Sydney, Australia Stay tuned for announcements about our invited speakers, panelists, and workshop schedule. For submission details and more information, please visit: https://brainbodyfm-workshop.github.io/

Aug. 5, 2026

Wu Tsai Institute Postdoctoral Fellowships for interdisciplinary and computational neuroscience and cognitive science

by Guerrero-Medina, Giovanna

The Wu Tsai Institute Postdoctoral Fellowships<https://wti.yale.edu/initiatives/postdoctoral> are open to applications! We welcome early-career scientists interested in interdisciplinary research to advance fundamental understanding of cognition. The program offers a generous salary ($80,000) for up to 3 years, discretionary funds and funding opportunities, access to cutting-edge facilities, protected time for professional development, structured mentoring, and a welcoming and inclusive community of trainees. International applicants are welcome. Applicants may propose to be co-mentored by Wu Tsai Faculty Members from different disciplines; work with a single mentor while transitioning to a new field; or propose self-directed computational or theoretical projects with flexible mentoring arrangements. The deadline for applications is October 1st. Candidates can find more information and application instructions here: https://wti.yale.edu/initiatives/postdoctoral Giovanna Guerrero-Medina, PhD [A button for name playback in email signature] <https://www.name-coach.com/giovanna-guerrero-medina> She/Her/Ella Asst. Director for Professional Development & Community Wu Tsai Institute<http://wti.yale.edu/> Yale University

Aug. 4, 2026

Posdoctoral Position on Neuro-AI, Computational Neuroscience (CN) at the Marie Curie Chair in CN

by Carmen Paz Suárez Araujo

Dear Colleagues, I’m writing you to share an opportunity of a postdoctoral position. The Marie Curie Chair in Computational Neuroscience at the Institute of Cybernetics, Enterprise and Society (Universidad de Las Palmas de Gran Canaria) is inviting applications for a postdoctoral position. This is a 14 month non-tenure-track position. Duties will involve research and supervision activities in the following areas: 1) neuro-AI; 2) determination of new functional biomarkers for Alzheimer's disease (AD) and other cortical dementias; and 3) intelligent decision systems for the diagnosis and prognosis of AD. The Marie Curie Chair is seeking outstanding candidates who have received a PhD in Computer Engineering, Electronic and Telecommunications Engineering, Biomedical Engineering, Bioengineering, Physics, or a related discipline. The probable start date will be September 2026 Candidates will be graded on their merits up to a maximum of 10 points (professional experience, very good scientific merits, good knowledge on the position topics and language proficiency, essentially English). Certificates to justify these merits are mandatory. A job interview will be held with the three candidates who are ranked highest. To apply, please visit https://fpctserver.upe.ulpgc.es/convocatorias/inscripcion.php?idrec=606 Best Regards Prof. Dr. Carmen Paz Suárez-Araujo Head of the Marie Curie Chair in Computational Neuroscience Universidad de Las Palmas de Gran Canaria, Spain CARMEN PAZ SUAREZ ARAUJO Catedrática de Universidad (Full Professor) Departamento de Informática y Sistemas, IUCES Universidad de Las Palmas de Gran Canaria tel. +34629822298 carmenpaz.suarez(a)ulpgc.es www.ulpgc.es ORCID 0000-0002-8826-0899 EDIFICIO DE INFORMÁTICA, OFFICE 2-5 CAMPUS UNIVERSITARIO DE TAFIRA S/N 35017, LAS PALMAS DE GC [Universidad de Las Palmas de Gran Canaria]

Aug. 2, 2026