- Comp-neuro - lists.cnsorg.org

Assistant Professor position in human cognitive neuroscience at Princeton

by Kenneth Norman

The Department of Psychology and the Princeton Neuroscience Institute at Princeton University invite applications for a tenure-track Assistant Professor position in the area of human cognitive neuroscience to be hired jointly in Neuroscience and Psychology. We seek a faculty member with a demonstrated record of excellence in research and a strong commitment to teaching and mentoring. Relevant research approaches include, but are not limited to, computational, clinical, and neuroimaging research. Applicants are expected to hold a Ph.D. in Psychology, Neuroscience, Computer Science, or a related discipline. The successful applicant will be expected to teach both undergraduate and graduate courses in Psychology and Neuroscience, and to establish an active, internationally-recognized research program. To support their research, the successful applicant will have access to the Scully Center for the Neuroscience of Mind and Behavior, which operates a suite of facilities to study the human brain including two 3T Siemens MR scanners, OPM-MEG, EEG, eye tracking, and TMS laboratories. They will also have access to Princeton's world-class computational infrastructure, including GPU systems capable of running large-scale AI workflows. Applicants should submit online at https://www.princeton.edu/acad-positions/position/39681 and include a cover letter, curriculum vitae, research statement, teaching statement, and contact information for three references. Review of applications will begin on October 15, 2025. Expected Salary Range: $135,000 - $145,000 The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link <https://hr.princeton.edu/benefits-overview-prospective-candidates> for more information.

Aug. 14, 2025

Göttingen Cognition Forum on "Curiosity and Interaction" - Oct 13-15, 2025

by Priesemann, Viola

Dear colleagues, hereby, we would kindly like to draw your attention to the upcoming Göttingen Cognition Forum<https://events.gwdg.de/event/1099/> (Oct 13-15, 2025). It is organized jointly by the CRC 1690 Cognition of Interaction, the RTG Curiosity, the Bernstein Center for Computational Neuroscience, and the EKFZ. We kindly invite you to join us in Göttingen for this interactive workshop! The abstract submission deadline (for posters as well as for presentations) to the satellite workshops has been extended to August 17. Contributions can be submitted here<https://events.gwdg.de/event/1099/abstracts/>. Plenary speakers are Jacqueline Gottlieb Bahador Bahrami Judith Burkart Steve Chang Nachum Ulanovsky and Agostina Palmigiano Participation is free of charge. Please don’t hesitate to contact me in case of questions. Information are available on: https://events.gwdg.de/event/1099/ _____________________ Prof. Dr. Viola Priesemann Max Planck Institute for Dynamics and Self-Organization & Georg-August-University Göttingen Am Fassberg 17, 37077 Göttingen viola.priesemann(a)ds.mpg.de

Aug. 13, 2025

ICONIP2025 Early Registration Open till August 15

by Kenji Doya

We are pleased to announce the opening of early registration for ICONIP 2025 till August 15 (AoE). https://iconip2025.apnns.org/registration/ This year ICONIP received more than 1,000 submissions and selected about 400 papers for single-track oral, spotlight, and poster presentations, We hope to see many of you in beautiful Okinawa. ***** The 32nd International Conference on Neural Information Processing (ICONIP) 2025 Date: November 20 to 24, 2025 Venue: Okinawa Institute of Science and Technology (OIST): https://www.oist.jp Web site: https://iconip2025.apnns.org Honorary Chairs: Shun-ichi Amari, Kunihiko Fukushima Keynote Lectures: Machine Learning for Robots: From Perception to Action: Asako Kanezaki Closing the gap: From Digital AI to Physically grounded intelligence: Yew Soon Ong Development of Higher Cognitive Mechanisms: Insights From Neurorobotics: Jun Tani Tutorials: Mathematical Theories of Deep Foundation Models: Taiji Suzuki Free-energy Principle for AI Researchers and Neuroscientists: Takuya Isomura AI for Human Neuroscience Research: Saori Tanaka, Okito Yamashita, Yu Takagi Improved Explainability with Spiking Neural Networks: Maryam Doborjeh, Nikola Kasabov Methodology for Designing Brain-Like AI Software: Yoshimasa Tawatsuji, Hiroshi Yamakawa, Yudai Suzuki Special Sessions: Sustainable Smart Villages – Harnessing Edge AI and TinyML for Low-Resource Communities Generative AI and Deep Learning for Advancing Affective Human-Robot Interaction Reliable, Robust and Secure Machine Learning Algorithms and 5 more Workshops: 18th International Workshop on Artificial Intelligence and Cybersecurity (AICS 2025) Quantifying and Simulating Multi-Neuromodulatory Dynamics in the Biological Brain and 5 more General Chairs: Kenji Doya, Maryam Doborjeh Program Chairs: Tadahiro Taniguchi, Andrew Chi Sing Leung Inquiry: iconip2025(a)apnns.org ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

Aug. 8, 2025

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 at 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 instantiated in neural activity across 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 is interested in developing approaches from reinforcement learning, dynamical systems theory, and Bayesian inference to understand the online regulation of reward prediction and learning in neural activity and behavior. We work with a broad network of collaborating labs that span rodent, NHP and human studies, and the ideal candidate will be comfortable working in a highly interdisciplinary environment to pursue novel and translational insights into the neural basis of reward learning. This opening is an excellent opportunity for a computational neuroscientist who wishes to apply theoretical ideas to understand empirical data, with the opportunity to collaborate on novel paradigms to test computational models of reward-guided behavior and reward learning in the brain. 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, a background in neuroscience, psychology, cognitive science or relevant quantitative discipline 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!

Aug. 7, 2025

Announcing SNUFA 2025: Nov 5–6 (online) – Abstract submission and registration now open!

by Friedemann Zenke

We are happy to announce SNUFA 2025, taking place 5–6 November 2025 (online)—your friendly online focus meeting on spiking neural networks that compute. Abstract submission and registration are now open! 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/

Aug. 6, 2025

⏳ 1 Month Left – Submit at COMPLEX NETWORKS 2025, Binghamton NY, USA

by Hocine Cherifi

Dear Researchers, Only one month remains to submit your work to *COMPLEX NETWORKS 2025* <https://complexnetworks.org/> — the leading international forum for complexity science, data science, and computational social science. *We welcome:* ✅ *Full Papers* (up to 12 pages, unpublished) – included in *Springer *SCI <https://link.springer.com/series/7092/books> proceedings ✅ *Extended Abstracts* (up to 4 pages) – included in the *Book of Abstracts* (ISBN) Selected papers will be invited to special issues in top journals, including *PLOS Complex Systems*, *Applied Network Science*, *Entropy*, and more. *Why participate?* · *Present* your work to an engaged, international audience · *Publish* in high-visibility outlets · *Connect* with leading scholars and practitioners from around the world 📅 *Submission Deadline:* September 2, 2025 📍 *Conference:* December 9–11, 2025 🎤 *Keynotes:* Luis Bettencourt, Michelle Girvan, Kimberly Glass, Mark Newman, David Stark 🎓 *Tutorials:* Brennan Klein, Yian Yin (December 8) 📄 *Journal Opportunities:* PLOS One, PLOS Complex Systems, Applied Network Science, Entropy, and more Don’t miss this opportunity to shape the future of complexity research. 👉 *Submit today:* https://complexnetworks.org/submission/ More info : https://complexnetworks.org/ We look forward to your contribution, Join us at COMPLEX NETWORKS 2025 <https://complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, 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/>

Aug. 6, 2025

Multiple PhD positions in Cognitive Neuroscience at SISSA - application deadline 21 August

by Eugenio Piasini

Up to 3 PhD positions in Cognitive Neuroscience are available at SISSA, Trieste, starting October 2025. SISSA is an elite postgraduate research institution for Maths, Physics and Neuroscience, located in Trieste, Italy. SISSA operates in English, and its faculty and student community is diverse and strongly international. The Cognitive Neuroscience group (https://phdcns.sissa.it/) hosts 6 research labs that study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language, tactile perception and learning, and neural computation. Our research is highly interdisciplinary; our approaches include behavioural, psychophysics, and neurophysiological experiments with humans and animals, as well as computational, statistical and mathematical models. Students from a broad range of backgrounds (physics, maths, medicine, psychology, biology) are encouraged to apply. The selection procedure is now open. The application deadline for the fall admission round is 21 August 2025. Please apply here<https://pica.cineca.it/sissa/phd-cns-02-2025/>, and see the admission procedure page<https://phdcns.sissa.it/admission-procedure> for more information. Please contact the PhD Coordinator Mathew Diamond (diamond(a)sissa.it) and/or your prospective supervisor for more information and informal inquiries.

Aug. 5, 2025

Master's program in Neurorobotics at Chemnitz University of Technology

by Fred Hamker

I would like to draw your attention to our recently revised Master's program in Neurorobotics at Chemnitz University of Technology (Germany). The program is hosted within the Department of Computer Science and integrates robotics with fields such as neural networks, computational neuroscience and reinforcement learning. It is open to computer scientists, but also to students with a bachelor's degree in related disciplines, such as physics, engineering and psychology with sufficient background in computer science. The official language is German, but an English speaking track is possible as most courses are taught in English. Language requirements are English Level B2 and German Level B2. Details can be found here: https://www.tu-chemnitz.de/zpa/sopo/88/BFB.php International students who are interested in studying in Chemnitz find background information here: https://www.tu-chemnitz.de/international/incoming/index.php.en Questions from interested students can be directed to Prof. Dr. Fred Hamker fred.hamker(a)informatik.tu.chemnitz.de <mailto:fred.hamker@informatik.tu.chemnitz.de> Chemnitz University of Technology is an official node of the Bernstein Network Computational Neuroscience (https://bernstein-network.de/netzwerk/bernstein-nodes/bernstein-node-chemni…) and associated partner of the Robotics Institute Germany (https://robotics-institute-germany.de <https://robotics-institute-germany.de/>). Chemnitz is the third-largest city of the state of Saxony, next to Leipzig and Dresden, with a rich tradition of music and culture. Chemnitz is known for its affordable costs of living, offers a good quality of life with a mix of urban and green spaces and is close to scenic mountains. -------------------- Prof. Dr. Fred H Hamker Artificial Intelligence Department of Computer Science Chemnitz University of Technology Strasse der Nationen 62 D - 09107 Chemnitz Germany Tel: +49 (0)371 531-37875 Fax: +49 (0)371 531-25739 email: fred.hamker(a)informatik.tu-chemnitz.de www: http://www.tu-chemnitz.de/informatik/KI/

Aug. 4, 2025

PhD position in large-scale brain modeling and simulation

by Sacha van Albada

A PhD position on the large-scale spiking network simulation of the human cerebral cortex is available in the group of Prof. Sacha van Albada at the Institute for Advanced Simulation (IAS-6), Jülich Research Center, Germany (https://www.fz-juelich.de/en/ias/ias-6/forschung/theoretical-neuroanatomy) The position is offered in the context of the project Supercomputing and Modeling for the Human Brain (SMHB), a collaboration between the IAS-6, the Jülich Supercomputing Center, and the Institute of Neuroscience and Medicine (INM-1) (https://www.fz-juelich.de/en/smhb) We will use data from a multimodal human brain atlas (https://www.ebrains.eu/tools/human-brain-atlas) to develop a refined version of the human cortex model of Pronold et al. (https://academic.oup.com/cercor/article/34/10/bhae409/7826014) The candidate should have a background in physics, mathematics, computer science, biology (or specifically neuroscience), or engineering. Excellent quantitative and analytical skills are highly valued, as are programming and writing skills. We offer a structured program guiding doctoral researchers through the PhD work and plenty of opportunities for local and international collaboration. The researchers will be embedded in a vibrant research institute (https://www.csn.fz-juelich.de<https://www.csn.fz-juelich.de/>). Links also exist to the University of Cologne, so that candidates can gain teaching/tutoring experience. To apply, please send a motivation letter, CV, and university transcripts and certificates to s.van.albada(a)fz-juelich.de<mailto:s.van.albada@fz-juelich.de> and to our scientific coordinator Dr. Martina Reske (m.reske(a)fz-juelich.de<mailto:m.reske@fz-juelich.de>). -- Prof. Sacha Jennifer van Albada Institute for Advanced Simulation (IAS-6) Computational and Systems Neuroscience Jülich Research Centre Jülich, Germany Tel. +49 2461 61-96808 Mobile +49 170 2352748 Fax +49 2461 61-9460 Computational Neuroanatomy Institute of Zoology University of Cologne Cologne, Germany Tel. +49-221-470-3829 Fax +49-221-470-4889 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Dr. Stephanie Bauer (stellv. Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

Aug. 4, 2025

Postdoc/Research Fellow Position in Electrophysiology/Bionics

by Yan Wong

Dear colleagues, I’m seeking a postdoctoral research fellow to join my research group at Monash University, Melbourne Australia. The postdoc will be working on a project examining different stimulation techniques for a cortical vision prosthesis. Electrophysiology and computational skills are highly desirable for the role.. https://careers.pageuppeople.com/513/cw/en/job/681737/research-fellow-neuro… Regards, Yan Tat Wong Professor and Head Electrical and Computer Systems Engineering Department of Electrical and Computer Systems Engineering Monash University www.monash.edu/neurobionics T: +61 3 9905 1935

Aug. 4, 2025