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Postdoctoral Research Fellowship in AI for Low-Cost PET–MRI Imaging at the University of Cape Town, South Africa
by jon.shock＠gmail.com Aug. 17, 2025

Aug. 17, 2025

The Shocklab, picoPET, and SoLow research groups at the University of Cape Town (UCT) invite suitably qualified candidates to apply for a Postdoctoral Research Fellowship in AI for low-cost medical imaging. The fellowship advances research at the intersection of artificial intelligence, image reconstruction, and multimodal neuroimaging, with applications to global health and diagnostic equity in low-resource settings. Call for Applications The successful fellow will be jointly hosted by the Department of Mathematics and Applied Mathematics, the picoPET group in the Department of Physics, and the SoLow group in the Department of Biomedical Engineering, and will conduct research on AI-based PET/MRI reconstruction, PET–MRI fusion, and advanced image analysis techniques. Conditions of Award (General) • Applicants must have achieved a doctoral degree within the past five (5) years. • Applicants may not previously have held full-time, permanent professional or comprehensive academic posts. • The successful incumbent will be required to comply with UCT’s approved policies, procedures, and practices for postdoctoral fellows. • No benefits or allowances are included other than those stated under Value and Tenure. • Postdoctoral fellows may undertake up to 12 hours per week of remunerated employment outside the fellowship for professional development; such remuneration is taxable and processed via UCT HR. Value and Tenure • Value of the fellowship: R500,000 per annum, compliant with the SARS Binding Class Ruling and therefore tax-exempt. • Travel allowance: R50,000 per annum for conferences and collaborations. • Tenure: One (1) year, renewable for up to one (1) additional year (maximum two years). In line with UCT policy, further extension up to five years of enrolment may be considered under exceptional circumstances. • Location: University of Cape Town, South Africa. • Start date: Available immediately or from early 2026. Academic Criteria • PhD in a relevant field (e.g., AI, biomedical engineering, medical imaging, applied mathematics, physics). • Experience with image reconstruction/medical imaging or a strong computer vision background, and deep learning. • Proficiency in Python-based ML frameworks (e.g., JAX, PyTorch). • Strong publication record and ability to work independently. Project Description The fellow will lead research at the interface of AI and low-cost imaging hardware, including: • Design of AI-based PET and MRI reconstruction algorithms optimized for signal recovery, clinical interpretability, and efficiency. • Validation on simulated and experimental data, benchmarking against MLEM, OSEM, and FBP using PSNR/SSIM or related metrics. • Development of PET–MRI image fusion pipelines combining picoPET and SoLow data. • Evaluation of the diagnostic utility of fused images through expert review or pilot clinical studies. • Exploration of advanced techniques (e.g., end-to-end multimodal models, latent-space regularization, attention mechanisms, diffusion-based denoising, super-resolution). The long-term aim is to demonstrate that AI can enable high-quality medical imaging in low-resource settings using affordable hardware. Research Environment • Shocklab, led by Associate Professor Jonathan Shock (Department of Mathematics and Applied Mathematics; Interim Director of the UCT AI Initiative). • picoPET, led by Dr James Keaveney, developing novel low-cost PET systems. • SoLow, led by Professor Ernesta Meintjes, pioneering low-field MRI technology. The fellow will join an interdisciplinary team across Biomedical Engineering, Mathematics and Applied Mathematics, Physics, and the Neuroscience Institute. Computing Resources • Access to the UCT High Performance Computing cluster. Application Requirements Please submit a single PDF including: • Letter of application stating expertise, research interests, and experience. • Curriculum vitae with publication list. • Description of prior research and its relevance to AI-based medical imaging. • Research statement (1–2 pages) outlining ideas for the PET–MRI project. • Certified copies of academic transcripts. • Either names and contact details or letters of reference from at least two academics who have taught, supervised, or worked with the applicant. Applications and enquiries: Associate Professor Jonathan Shock, jonathan.shock(a)uct.ac.za Selection Process Eligible and complete applications will be considered by the hosting departments in consultation with the relevant research groups. Shortlisted candidates may be invited for interview. Key Dates Application deadline: 15 September 2025 Interviews: October 2025 About UCT and Cape Town UCT, founded in 1829, is consistently ranked among Africa’s leading universities, with a diverse community of over 30,000 students and a strong international profile. The main campus lies at the foot of Table Mountain in Cape Town, a city offering a unique blend of natural beauty and urban culture. Living costs in Cape Town are substantially lower than in major US or European cities. See: https://www.numbeo.com/cost-of-living/in/Cape-Town Equity Statement UCT is committed to the pursuit of excellence, diversity and redress in achieving its equity targets in accordance with the Employment Equity Plan of the University and its Employment Equity goals and targets. The Employment Equity Policy is available at Employment Equity Policy. Indemnity The University of Cape Town reserves the right to disqualify ineligible, incomplete and/or inappropriate applications, change the conditions of award, or make no awards at all.

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[OIST Visiting Program] Open Calls for Visiting Scholars in FY2026 and Thematic Programs in FY2027
by Kenji Doya Aug. 17, 2025

Aug. 17, 2025

We are pleased to announce new calls for Visiting Programs at Okinawa Institute of Science and Technology (OIST). OIST is a university with no departments, eliminating artificial barriers between people working in different fields, with students and faculty from all over the world. We are seeking for applicants from interesting researchers from around the world. There are opportunities to spend several months on a beautiful subtropical island in the south of Japan, and focus solely on research. All fields are eligible, as long as the proposed project has overlap or shared interests with researchers at OIST. Invitees will be provided with travel/visa support, on-campus housing, office space in the visiting program area, access to OIST computing resources, ... Inquiries are welcome, please write to tsvp(a)oist.jp<mailto:tsvp@oist.jp> __________ OIST's Visiting Program<https://www.oist.jp/visiting-program> (TSVP) currently has open calls for Visiting Scholars in FY2026 and Thematic Programs in FY2027. Summary of currently open calls: * Thematic Programs<https://www.oist.jp/visiting-program/application-thematic-program> in FY2027: : Group of researchers, 1-2 months, all fields. (short) pre-proposals to be submitted by September 15, 2025. * Visiting Scholars <https://www.oist.jp/visiting-program/application-visiting-scholars> in FY2026: : Visits of 3-12 months, all fields. Deadline: September 15, 2025. * Experimental Visiting Scholars<https://www.oist.jp/visiting-program/application-exp-scholars> in FY2026 (only if lab access is required) * Domestic Visitors<https://www.oist.jp/visiting-program/application-domestic> in FY2025: Flexible duration, all fields, Rolling Deadline. Details: https://www.oist.jp/visiting-program/application and in the below overview image [call for tsvp visiting program2025 banner] [Visiting Program Call for Pre-Proposals for Thematic Programs banner] Overview of all OIST's Visiting Programs [8tgbpZzgdD0Fh3az.png]<https://www.oist.jp/visiting-program/application> ---- 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

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Deep Math 2025 call for papers
by Ahmed El Hady Aug. 17, 2025

Aug. 17, 2025

DeepMath 2025: Call for Abstracts We are pleased to announce *DeepMath 2025*: the 7th installment of the Conference for the Mathematical Theory of Deep Learning (www.deepmath-conference.com) This year DeepMath will be held at the *University of Michigan in Ann Arbor Michigan*. We have a stellar lineup of invited speakers including: * Laura Balzano (University of Michigan) * Rama Chellappa (Johns Hopkins University) * Jelena Diakonikolas (University of Wisconsin) * Surbhi Goel (University of Pennsylvania) * Thomas Icard (Stanford University) * Robert Nowak (University of Wisconsin) We are inviting researchers to present a poster during our poster session. Please submit your work no later than *August 31, 2025* on OpenReview using the following link: https://openreview.net/group?id=deepmath-conference.com/DeepMath/2025/Confe… <https://openreview.net/group?id=deepmath-conference.com/DeepMath/2025/Confe…> DeepMath is a highly interdisciplinary conference focused on understanding fundamental theory driving the success of Deep Learning. A principal goal of this conference is to bring together theoreticians working on deep learning from various disciplines and perspectives. We, therefore, encourage submissions from researchers from diverse disciplines including but not limited to * Statistics * Physics * Computer science * Neuroscience * Mathematics * Psychology * Engineering Topics may address any area of deep learning research such as: * Expressivity * Generalization * Optimization * Representations * Computation * Network architectures * Recurrent networks * Emergent abilities like in-context learning, reasoning To complement the many conferences with applications and theory the focus for DeepMath will be exclusively on the theoretical and mechanistic understanding of the underlying properties of neural networks. Abstracts will not be made public (i.e., no official proceedings), and will be doubly-blind reviewed and selected for quality. All poster submissions should be properly anonymized in order to allow for blind refereeing. *Submissions should be no more than 1 page* although a second page may be used for references. Authors should submit a pdf file prepared using the *Latex style file available **here* <https://storage.googleapis.com/wzukusers/user-23451351/documents/5c90d93c12…>and should adopt all formatting, subject headings, font sizes, etc. defined therein. Submissions that fail to meet the format requirements will not be reviewed. The first author listed on the abstract is considered to be the presenting author. Each presenting author may submit only one abstract.

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To Spike or Not to Spike: A neural network model of how neurons communicate
by Grossberg, Stephen Aug. 15, 2025

Aug. 15, 2025

Dear Comp-Neuro colleagues, I am writing to announce the publication of my new article that describes psychological and neurobiological properties of neural network models that are composed of spiking neurons. The article is: Grossberg, S. (2025). Spiking neural network models of neurons and networks for perception, learning, cognition, and navigation: A review. Brain Sciences, 15(8), 870. https://www.mdpi.com/2076-3425/15/8/870 The Abstract of the article summarizes some of its high points: This article reviews and synthesizes highlights of the history of neural models of rate-based and spiking neural networks. It explains that theoretical and experimental results about how all rate-based neural network models, whose cells obey the membrane equations of neurophysiology, also called shunting laws, can be converted into spiking neural network models without any loss of explanatory power, and often with gains in explanatory power. These results are relevant to all the main brain processes, including individual neurons and networks for perception, learning, cognition, and navigation. The results build upon the hypothesis that the functional units of brain processes are spatial patterns of cell activities, or short-term-memory (STM) traces, and spatial patterns of learned adaptive weights, or long-term-memory (LTM) patterns. It is also shown how spatial patterns that are learned by spiking neurons during childhood can be preserved even as the child’s brain grows and deforms while it develops towards adulthood. Indeed, this property of spatiotemporal self-similarity may be one of the most powerful properties that individual spiking neurons contribute to the development of large-scale neural networks and architectures throughout life. Get Outlook for Mac <https://aka.ms/GetOutlookForMac>

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Two tenure-track positions at University of Oregon
by James Murray Aug. 15, 2025

Aug. 15, 2025

Dear colleagues, The Department of Bioengineering at the University of Oregon’s Knight Campus for Accelerating Scientific Impact invites applications for two complementary tenure-track faculty positions in computational and experimental neuroengineering: 1. Computational & Data-Science Neuroengineering Examples include but are not limited to the following: neural signal processing & data analytics for feature extraction, decoding, and adaptive control, high-throughput behavior tracking and closed-loop perturbations (e.g. pose estimation, unsupervised behavior clustering, neural conditional feedback), neuromorphic computing & AI hardware or brain-inspired AI algorithm development, spatial analysis of multi-omics data. 2. Experimental & Translational Neuroengineering Examples include but are not limited to the following: clean-room micro- and nanofabrication methods for neural interfaces, neurophotonics methods for brain stimulation, recording, and imaging, pre-clinical models in bioelectric medicine or brain injury repair, brain organoid technology development, and disease models. We are particularly interested in applicants with a demonstrated track record of translating discoveries into real-world impact, including through entrepreneurial activities; a demonstrated commitment to mentoring and advancing inclusive participation in scientific training and career pathways; and success in pedagogical environments that employ evidence-based teaching practices. All ranks (Assistant, Associate, or Full Professor) with a track record of research excellence commensurate with their seniority will be considered. Further details and application instructions can be found here: https://careers.uoregon.edu/en-us/job/535571/assistantassociatefull-profess… Please pass along this announcement to any potential candidates you know who might be interested. Any inquiries regarding this search may be sent to jmurray9(a)uoregon.edu. -James -- James M Murray Assistant Professor Depts. of Biology and Mathematics and Institute of Neuroscience University of Oregon murraylab.uoregon.edu<https://murraylab.uoregon.edu>

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Super early bird tickets now available—AE Global Summit on Open Problems for AI, London (Oct 28-30th, 2025)
by Battleday, Ruairidh Aug. 15, 2025

Aug. 15, 2025

Super-early-bird registration is now open for the AE Global Summit on Open Problems for AI, taking place in London from 28–30th October 2025. Over three days, we will bring together more than 1,000 researchers, policymakers, engineers, entrepreneurs, and artists to discuss the most important open problems in AI, and how we might solve them. Programme highlights Day 1: New Algorithmic Breakthroughs and AI Infrastructure Featuring Dr David Silver <https://davidstarsilver.wordpress.com/>and Dr Raia Hadsell (DeepMind), <https://raiahadsell.com/index.html> Prof Jakob Foerster (Meta & Oxford), <https://www.jakobfoerster.com/> Dr Laura Gilbert (Tony Blair Institute) <https://www.linkedin.com/in/dr-laura-gilbert/>, Prof Emine Yilmaz (UCL) <https://www.linkedin.com/in/emine-yilmaz-978b937/>, and senior research leaders from NVIDIA <https://www.nvidia.com/en-gb/>, Thomson Reuters <https://www.thomsonreuters.com/en>, Bertelsmann <https://www.bertelsmann.com/#st-1>, Wayve <https://wayve.ai/>, and others. Day 2: AI Safety, and AI in Enterprise & Society Speakers include Prof Chris Summerfield (AISI & Oxford) <https://www.psy.ox.ac.uk/people/christopher-summerfield>, Dr Samuel Bell (Meta) <https://samueljamesbell.com/>, Dr Artemis Seaford (ElevenLabs <https://www.linkedin.com/in/artemisseaford/>), Dr Marius Hobbhahn (Apollo Research) <https://www.linkedin.com/in/marius-hobbhahn-128927175/?originalSubdomain=uk>, and leaders from ADVAI <https://www.advai.co.uk/>, Academy, Tony Blair Institute <https://institute.global/>, and Bernstein Insights <https://www.bernstein.com/our-insights/insights.html>. Day 3: AI Entrepreneurship & Application With Alexander Straub (Straub Ventures) <https://www.linkedin.com/in/alexanderstraub/?originalSubdomain=uk>, Dr Trias Gkikopoulos (Innovate UK) <https://www.linkedin.com/in/triantafyllosgkikopoulos/?original_referer=http…>, Erwann Le Lannou (XTX Markets) <https://www.linkedin.com/in/erwann-le-lannou/?originalSubdomain=uk>, Prof Rose Luckin (UCL & Educate Ventures) <https://www.linkedin.com/in/rose-luckin-5245003/?authType=&authToken=&trk=m…>, Dr Irina Jurenka (DeepMind) <https://www.linkedin.com/in/irina-jurenka-74455235/?originalSubdomain=uk>, and contributors from Google Health <https://health.google/>, Raspberry Pi Foundation <https://www.raspberrypi.org/>, and Newton’s Tree. <https://www.newtonstree.ai/> The conference will feature keynote talks, panels, breakout rooms, and an expo hall, alongside opportunities for informal discussion with colleagues from institutions including Oxford <https://www.ox.ac.uk/>, Harvard <https://www.harvard.edu/>, MIT <https://www.mit.edu/>, UCL <https://www.ucl.ac.uk/>, DeepMind <https://deepmind.google/>, Meta <https://www.meta.com/en-gb/about/?srsltid=AfmBOooyD76gNdU_z8E_JulzOLafvKow3…>, Microsoft <https://www.microsoft.com/en-gb/>, and NVIDIA <https://www.nvidia.com/en-gb/>. We’d love to see some of you there! Register via the link below: http://bit.ly/4ozMsdY -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Asst. Prof in AI @ Göttingen, Germany
by Ecker, Alexander Aug. 15, 2025

Aug. 15, 2025

We have an opening for a tenure track assistant professor position (W1 t.t. W2) in AI in our CS dept @uni-goettingen.de, Germany: https://uni-goettingen.de/en/697924.html Application deadline: Sept 19 It's a deliberately broad call. Areas of interest include: RL; VR, AR & digital avatars; Embodied AI, NLP; HCI; Causal models; Time series models; Multimodal data integration; Image analysis and CV; Computational and simulation science; Visualization; HPC and Energy-efficient AI. The position is embedded in the recently founded Lower Saxony Center for AI and Causal Methods in Medicine (CAIMed; https://caimed.de/en/) as well as the Campus Institute Data Science (CIDAS; https://www.uni-goettingen.de/en/690135.html) Göttingen. The Göttingen Campus is highly collaborative, has a great variety of data-intensive research in natural and life sciences, social science and humanities, including top-notch places like MPIs (MPI for Multidisciplinary Sciences, MPI for Solar Systems Research, MPI for Dynamics and Self-Organization), the German Primate Center (DPZ) and the German Aerospace Center (DLR). Göttingen is located in the center of Germany and Europe, in a region known for its green hills, lovely small towns with half-timbered houses and the Harz Mountains. Well-connected through motorways and high-speed trains. It is a small university town (around 120k people) and very family friendly. Everything within the city can be reached by bike within 15 min. Touch base with me if you have any questions. I’m happy to chat!

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Assistant Professor position in human cognitive neuroscience at Princeton
by Kenneth Norman Aug. 14, 2025

Aug. 14, 2025

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.

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Göttingen Cognition Forum on "Curiosity and Interaction" - Oct 13-15, 2025
by Priesemann, Viola Aug. 13, 2025

Aug. 13, 2025

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

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ICONIP2025 Early Registration Open till August 15
by Kenji Doya Aug. 8, 2025

Aug. 8, 2025

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

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Postdoc position in the Unit on the Neural Computations in Learning, NIMH
by Langdon, Angela (NIH/NIMH) [E] Aug. 7, 2025

Aug. 7, 2025

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!

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Announcing SNUFA 2025: Nov 5–6 (online) – Abstract submission and registration now open!
by Friedemann Zenke Aug. 6, 2025

Aug. 6, 2025

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/

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⏳ 1 Month Left – Submit at COMPLEX NETWORKS 2025, Binghamton NY, USA
by Hocine Cherifi Aug. 6, 2025

Aug. 6, 2025

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/>

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Multiple PhD positions in Cognitive Neuroscience at SISSA - application deadline 21 August
by Eugenio Piasini Aug. 5, 2025

Aug. 5, 2025

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.

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Master's program in Neurorobotics at Chemnitz University of Technology
by Fred Hamker Aug. 4, 2025

Aug. 4, 2025

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/

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PhD position in large-scale brain modeling and simulation
by Sacha van Albada Aug. 4, 2025

Aug. 4, 2025

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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoc/Research Fellow Position in Electrophysiology/Bionics
by Yan Wong Aug. 4, 2025

Aug. 4, 2025

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

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Remote Machine Learning Engineer/AI researcher position at Tether Evo on NeuroAI
by Matteo Ferrante July 31, 2025

July 31, 2025

We are looking for a *Machine Learning Engineer* to join our team at the forefront of *open research in NeuroAI*. Our work explores the intersection of artificial intelligence and brain-computer interfaces (BCIs), using both invasive and non-invasive neural recordings. As part of Tether Evo, you will contribute to high-impact, open-source projects focused on *encoding* and *decoding brain activity* leveraging AI. Our mission is to advance scientific understanding while building real-world applications for neural interfaces, guided by transparency, accessibility, and collaboration. *Highlights:* - Work on cutting-edge NeuroAI research, with a focus on open access science, reproducibility and the aim of advancing our comprehension of the brain. You will do research on brain representations of external world such as language, imagery, vision and motor control, and how to encode or decode them to build the next generation of BCI systems. - Collaborate with leading institutions, including *BlackRock Neurotech* and top *academic partners* - Competitive compensation and a fully *remote* working environment - Opportunities to publish, contribute to open-source tools, attend conferences and shape the future of brain-tech innovation *What We’re Looking For:* - 3+ years of experience in ML research or industry, PhD in Physics, Computer Science, Neuroscience or related quantitative fields are highly evaluated. - Strong proficiency in Python and PyTorch - Background in Artificial Intelligence, representation learning and generative models such as LLMs and diffusion models. - Bonus: research experience with neural data such as fMRI, EEG, MEG, ECoG - Excellent scientific communication and collaboration skills, publications in top-tier scientific journals or AI/neuroscience conferences are welcome. If you’re passionate about advancing neuroscience and AI through open, ethical, and impactful research, we’d love to hear from you. Position is fully remote and applications are welcome from all over the world. If interested, please have an initial contact with me at matteo.ferrante(a)tether.io sending a CV and a short presentation letter with *Machine Learning Engineer application as mail subject.* If there is a strong match, the candidate will be welcome to start with the hiring and selection process. Matteo Ferrante Team Lead of Tether Evo - BCI

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Funded PhD Position - Using cognitive computational models to improve human-robot collaboration
by Milan Andrejevic July 29, 2025

July 29, 2025

Psychology Discipline and Robotics Institute at the University of Technology Sydney in Australia are offering a fully funded PhD position for interdisciplinary research into using computational models to improve human-robot collaboration. Project description Collaboration between humans and robots is rapidly increasing, creating a need for integrative work between engineering and psychology to improve robots' collaborative skills. One promising approach is to equip robots with cutting-edge cognitive computational models of their human collaborators' decision-making processes. These models would enable robots to account for latent factors guiding human decisions (e.g., beliefs, inferences, preferences, risk, confidence, caution), during collaborative tasks. This could enhance the efficiency of robots' observational learning and allow them to take actions that support and optimise human decision-making, ultimately improving teamwork and productivity. The project will be supervised by Dr Milan Andrejevic, a Lecturer in Psychology, and Dikai Liu, a Distinguished Professor in Robotics from the University of Technology Sydney, and entail a collaboration with Prof. Jakob Hohwy, a Professor in Philosophy from Monash University. Candidate requirements: * Honours or Masters degree in: Psychology, Cognitive Science, Neuroscience, and a good grasp of statistics OR Engineering, Computer Science OR other related and relevant discipline and a strong interest in psychological science; * Willingness to learn computational cognitive modelling approaches; * Excellent academic writing skills; * Experience with, and/or willingness to learn coding and using statistical software (R, Matlab, Python, and/or alike); * Demonstrated work ethic. Also desirable: * A record of contributing to academic publications; * Experience with mathematical / computational modelling If you would like to apply for this project, please send your CV and Research Proposal to Milan Andrejevic and Dikai Liu. Links: PhD position description<https://sites.google.com/uts.edu.au/coghumrobophdadvert/project-description…> University of Technology Sydney<https://www.uts.edu.au/> Psychology Discipline<https://www.uts.edu.au/about/faculties/graduate-school-of-health/clinical-p…> Robotics Institute<https://www.uts.edu.au/research/robotics-institute> Dr. Milan Andrejevic<https://profiles.uts.edu.au/Milan.Andrejevic> Dist. Prof. Dikai Liu<https://profiles.uts.edu.au/Dikai.Liu> - Dr. Milan Andrejević (he/him) Lecturer Psychology | Graduate School of Health University of Technology Sydney +61 2 9514 4126 Level 10, 100 Broadway, Chippendale NSW 2008 I choose to work flexibly and send emails outside regular office hours as it suits me. I do not expect that you will read my emails outside your regular hours. I acknowledge the Gadigal People of the Eora Nation upon whose ancestral lands we work and gather at UTS, and their traditional custodianship over knowledge for this land. I pay my respects to their Elders past and present. UTS CRICOS Provider Code: 00099F DISCLAIMER: This email message and any accompanying attachments may contain confidential information. If you are not the intended recipient, do not read, use, disseminate, distribute or copy this message or attachments. If you have received this message in error, please notify the sender immediately and delete this message. Any views expressed in this message are those of the individual sender, except where the sender expressly, and with authority, states them to be the views of the University of Technology Sydney. Before opening any attachments, please check them for viruses and defects. Think. Green. Do. Please consider the environment before printing this email.

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Postdoctoral position in Theoretical Biophysics ( Deadline Sept 15th )
by Ahmed El Hady July 29, 2025

July 29, 2025

Dear Colleagues, We are seeking a PostDoc with a quantitative background who has finished (or about to finish) a doctoral degree in preferably in physics but other quantitative backgrounds will be considered. The candidate should show enthusiasm for tackling theoretical foundations of biological phenomena and creativity to address difficult research questions. The researcher will be based in the Integrative Biophysics group at the University of Konstanz and Max Planck Institute of Animal Behavior, located in Konstanz, Germany. The Integrative Biophysics group <https://www.exc.uni-konstanz.de/collective-behaviour/about-us/people/integr…> at the CASCB led by Dr. Ahmed El Hady. The group focuses on a diverse set of theoretical biophysics problems. The PostDoc project can potentially address the following: 1. How can one couple spatial movement dynamics to temporal decision-making process in an analytically tractable model, accounting for environments with different statistical structures? 2. Can social learning in a foraging context be regarded as a statistical learning process? 3. What are the effects of extracellular matrix characteristics and membrane biophysical properties on electromechanical wave propagation in neurons? 4. What are the collective neuronal modes one can derive from coupling electrically driven mechanical waves in single neurons? *Relevant Publications:* Blum Moyse, L., & El Hady, A. (2024). Social patch foraging theory in an egalitarian group. https://doi.org/10.1103/mqxr-1nyv Kilpatrick, Z. P., Davidson, J. D., & El Hady, A. E. (2020). Normative theory of patch foraging decisions. https://doi.org/10.1101/2020.04.22.055558. El Hady, A., Machta, B. Mechanical surface waves accompany action potential propagation. Nat Commun 6, 6697 (2015). https://www.nature.com/articles/ncomms7697 The postdoc position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/01/2026 and deadline for application is 15/10/2025. For more information and application , please visit the website: https://stellen.uni-konstanz.de/jobposting/81733e4ecac1d2fc0a665bdc65478a78… For questions about the position , please do not hesitate to contact me via email : ahmed.el-hady(a)uni-konstanz.de or ahady(a)ab.mpg.de All the best regards, Ahmed El Hady Dr. Ahmed El Hady Research group leader Cluster for Advanced Study of Collective Behavior University of Konstanz/Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907

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available PhD position in the application of machine learning in cognitive and neurosciences
by Shahidi, Neda July 27, 2025

July 27, 2025

Dear colleagues, I have a new PhD position in my group. We seek candidates who are interested in studying the application of machine learning tools in cognitive and neurosciences. we seek to address key gaps in our understanding of the role of gaze-based communication in value-based decision-making in primates, specifically rhesus macaques, red-fronted Lemurs, and humans, using naturalistic, interactive scenarios. The goal is to understand how primates attribute perception to others do, based on their gazes and postures. Our approach to dealing with complex brain and behavior data from these scenarios is to use state-of-the-art machine learning tools to extract interpretable latent dynamics. The research work will be conducted at the German Primate Center; enrollment is possible in one of the PhD programs at the University of Göttingen (see www.gauss.uni-goettingen.de<http://www.gauss.uni-goettingen.de>). The project is highly collaborative and will benefit from working with experts in computer and data sciences, behavioral ecology, and psychology in Göttingen and across Germany. The position will be funded for 3 years from DFG (pending final approval). The salary is in accordance with the German public service salary scale (65 % E13 TV-L) Applicants are required to have § Master's Degree in data sciences, neurosciences, engineering, biomedical sciences, physics, or related fields. § Very good English skills, including scientific writing § Advanced data analysis skills using Python § Basic knowledge of animal cognition Please submit your written application under the keyword "ECG PhD position" with a CV and a motivation letter (less than 300 words) addressin a) how pursuing a PhD on the topic of animal cognition will benefit your career? and b) which skills and knowledge, specifically from applications of machine learning to real-world and experimental data, will you bring to advance this project? Send your application by August 30th, 2025, to bewerbung(a)dpz.eu<mailto:bewerbung@dpz.eu> We welcome diversity and therefore welcome applications from qualified people, regardless of their ethnic, cultural and social background, gender, religion, ideology, disability, age or sexual identity. Registered disabled applicants with equal aptitude and qualifications will be given preferential consideration. We kindly ask you to indicate a disability in your application. Best Regards Neda

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Two funded Ph.D. Positions at the University of South Carolina
by Christian O'Reilly July 25, 2025

July 25, 2025

The Laboratory for Integrative Neuroscience Analyses (LINA) at the University of South Carolina is seeking to fill two open Ph.D. positions. These positions will be fully funded for four years by a Graduate Research Assistantship (GRA) on an NSF project titled “Multiscale Model-Driven Analysis of the Brain and its Disorders”. The preferred starting date is on January 5h, 2026. If interested, please read the full description of the position and instructions on how to apply here: https://tinyurl.com/5n7uhwry Christian O'Reilly, Ph.D., M.Sc., B.Ing. Assistant Professor, Department of Computer Science and Engineering Laboratory for Integrative Neuroscience Analysis Artificial Intelligence Institute Carolina Autism and Neurodevelopment Research Center Institute for Mind and Brain

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Call for Abstracts: SMILES 2025 Workshop @ICDL (Prague, Sept 16)
by Xavier Hinaut July 23, 2025

July 23, 2025

Dear colleagues, We are pleased to announce the SMILES 2025 Workshop (Sensorimotor Interaction, Language and Embodiment of Symbols), which will take place on Tuesday, September 16, 2025, as part of the ICDL 2025 Conference in Prague, Czech Republic. Workshop website: https://sites.google.com/view/smiles-workshop/ ICDL 2025 conference site: https://icdl2025.fel.cvut.cz/ 📢 Call for Abstracts We invite contributions exploring the connection between sensorimotor interaction, symbolic communication, and language emergence. Interdisciplinary approaches are welcome. Deadline: August 31, 2025 Length: ½ page to 2 pages Format: IEEE conference template https://www.ieee.org/conferences/publishing/templates.html Submission email: smiles.conf(a)gmail.com Please indicate if you plan to present onsite or remotely. 🧠 Workshop Focus SMILES addresses the gap between low-level sensorimotor interaction and high-level symbolic communication, bringing together researchers working on: Sensorimotor learning and developmental robotics Emergent communication in multi-agent systems Gesture and sequence chunking (motor, vocal, multimodal) Symbol grounding and symbol emergence Compositional and hierarchical representations for action and language Language acquisition and processing in humans and machines Temporal dynamics in neural network models Enaction, perception-action loops, and active sensing Animal communication and comparative models Organizers: Xavier Hinaut, Laura Cohen, Alex Pitti Contact: smiles.conf(a)gmail.com Invited speakers: To be announced soon Workshop date: September 16, 2025, 2:00 PM – 6:00 PM Location: Prague, Czech Republic We look forward to your contributions! Best regards, The SMILES 2025 Organizing Committee Xavier Hinaut Inria Research Scientist — News! —> Next Hackathon on AI, Robots and CogSci: « Hack1robo », October 2025, Bordeaux, France Register on mailing-list, linked-in or instagram to stay tuned! https://sites.google.com/view/hack1robo/accueil https://www.instagram.com/hack1robo/ — www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- — Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

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[JOBS] Post-doc "ML/AI-based intelligent process monitoring" at the University of Groningen, NL - deadline Sept 15, 2025
by Kerstin Bunte July 23, 2025

July 23, 2025

Fully funded Postdoctoral researcher position for ML/AI-based intelligent process monitoring https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Closing date = 15-09-2025 We offer a postdoctoral researcher position in cooperation with Philips and the University of Groningen, The Netherlands. The position is funded by the PPS-I Flex High Tech project “ManufActuring contRol Sonicare (MARS)“. Due to the complexity of the assembly process anomalies can occur, that lead to unplanned downtime and sub-optimal production outcomes. Deviations from normal behavior have diverse causes, ranging from misplacement, heterogeneity in material, to fatigue. Locating such issues in the production line can be difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more insight into possible sources of variation, facilitating more proactive quality control. The successful applicant has: - a PhD degree in computer science, applied mathematics, engineering or other relevant fields. - a keen interest in at least one of the following topics: machine learning, dynamic systems, applied mathematics (system identification and/or structural identifiability), Bayesian methods - proficiency in English (knowledge of the Dutch language is not required). Supervisors: Prof. Kerstin Bunte and Prof. Jan Post Deadline: 15 September 2025 Start Date: 1 Jan 2026 ✅ Either full-time (1.0FTE) for 21 months, or 0.88FTE for 24 months under Dutch university agreement ✅ Gross salary: €4,060 ✅ Focus: Expert informed ML + AI modelling for advanced production process monitoring ✅ Strong interdisciplinary team: Engineering, AI, and ML ✅ Involvement with APE & Intelligent Systems groups ✅ International students welcome (English proficiency required) 💡 This is a great opportunity to work on advanced machine learning with real industrial relevance (anomaly detection, process monitoring, optimization, and more). More information can be found at: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… About the University of Groningen Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage currently more than 34,000 students and researchers to develop their own individual talents. Belonging to the best research universities in Europe and the top 100 universities in the world, the University of Groningen is truly an international place of knowledge. -- Kerstin Bunte, Professor of Machine Learning for interdisciplinary data science Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence Faculty of Science and Engineering University of Groningen Bernoulliborg, Nijenborgh 9, 9747 AG Groningen The Netherlands Email: k.bunte(a)rug.nl web: http://www.cs.rug.nl/~kbunte/

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CfPs for Brain Informatics 2025 [Final Extension]
by angela.lombardi＠poliba.it July 23, 2025

July 23, 2025

We apologize if you have received multiple copies ------------------------------------------------- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 18th International Conference on Brain Informatics (BI'25) November 11-13, 2025 | Bari, Italy The key theme: Brain Science meets Artificial Intelligence A hybrid conference with both online and offline modes History of BI: https://youtu.be/kgYWk88DI3w Conference homepage: https://wi-consortium.org/conferences/bi2025/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Important Dates: * 20 August 2025: Full Paper Submission Deadline * 20 August 2025: Abstract Presentation Submission Deadline Keynotes: * Professor Giorgio A. Ascoli George Mason University, USA Title: From Neuron Classification to Spiking Neural Network Simulations: A Neuroinformatics Approach to Data-Driven Computational Models * Prof. Morten L Kringelbach University of Oxford, UK and Aarhus University, Denmark Title: Whole-brain Modelling: Cartography of Eudaimonia and Flourishing In he Human Brain * Dr. Giulio Pergola The University of Bari Aldo Moro, Italy Title: The Human Brain Wasn’t Built in a Day: The Building Blocks of Psychiatric Risk Trajectories * Professor Islem Rekik Brain And SIgnal Research and Analysis (BASIRA) Laboratory, London, UK Title: Brains and AI: A Two-Way Journey Sponsored By: IEEE Computer Society Technical Committee on Intelligent Informatics (TCII: https://www.computer.org/communities/technical-committees/tcii) Web Intelligence Consortium (WIC: https://wi-consortium.org/) Polytechnic University of Bari, Italy (PUB: http://www.en.poliba.it/) Springer Nature ***Accepted Workshops and Special Sessions*** WS01: Brain Informatics 2025 Workshop on Web Intelligence meets Brain Informatics WS02: Towards Predictive Precision: Multimodal Prediction Models using Diverse Biomarkers for Early Detection of Neurocognitive Disorders WS03: The International Workshop on Generative AI Empowers Brain Signal Processing (GAIEBSP 2025) WS04: The 4th Workshop on Environmental Adaptation and Mental Health (EAMH 2025) WS05: The International Workshop on Neural Data Analysis for Brain-Computer Interfaces and Brain Disorders WS06: The International Workshop on Brain Information Mechanisms in Special Populations WS07: The International Workshop on Cutting Edge Technologies for Human-Computer Interaction WS08: The International Workshop on Brain Network Dynamics Using the LEiDA Algorithm WS09: The International Workshop on Affective and Cognitive Sensing for Intelligent Human-centered Systems (ACSIHS) WS10: The 4th International Workshop on Computational Brain Image Analysis and Genomics (CBIAG) WS11: The International Workshop on Network Estimation via Source Separation (NESS) WS12: The 4th International Workshop on Computational Neuroaesthetics (WCN 2025) WS13: The 7th International Workshop on Cognitive Neuroscience of Thinking and Reasoning (CNTR 2025) WS14: The Workshop on Neuro-AI Synergy: Multimodal Approaches to study Brain Connectivity in Neurological Diseases SS01: The 5th Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From the Black-Box to the Glass-Box (XAIB 2025) SS02: The Special Session on Spatio-Temporal Brain Data Modelling: New Approaches to Understanding Brain Dynamics SS03: The Special Session on Advancing Affective-Cognitive Integration(ACI) in Foundation Models SS04: Special Session on Multi-modal Foundation Models and Large Language Models for Neuroscience and Neurological Disorders ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communications Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 18th International Conference on Brain Informatics (BI'25) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'25 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High-quality BI conference papers may be nominated to submit an extended version for a fast-track review and publication at the Brain Informatics Journal (ESCI, IF=4.5, https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. *** Paper Submission and Publications *** 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format (https://www.springer.com/us/computer-science/lncs/conference-proceedings-gu…) Overlength pages will be charged 100€ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full-length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series (https://link.springer.com/conference/brain) Abstract Submission (Only for Workshops/Special Sessions): Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Tutorials, Workshop & Special Sessions *** Proposal Submissions (https://wi-lab.com/cyberchair/2025/bi25/scripts/submit.php?subarea=ProW) BI'25 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 20 August 2025: Full Paper Submission Deadline * 20 August 2025: Abstract Presentation Submission Deadline * 1 October 2025: Final Paper and Abstract Acceptance Notification * 11 October 2025: Accepted Paper and Abstract Registration Deadline * 11 October 2025: Camera-Ready and Copyright Submission Deadline * 11 Nov 2025: Workshops and Special Sessions * 12-13 Nov 2025: The Brain Informatics Conference Organizing Committee ++++++++++++++++++ General Chairs Angela Lombardi (Polytechnic University of Bari, Italy) Elvira Brattico (University of Bari, Italy & Aarhus University, Denmark) Program Committee Chairs Carmelo Ardito (Polytechnic University of Bari, Italy) Hasan Ayaz (Drexel University, USA) Sirawaj Itthipuripat (King Mongkut's University of Technology Thonburi, Thailand) Shuqiang Wang (Shenzhen Institute of Advanced Technology, CAS, China) Local Organization Chairs Tommaso Colafiglio (Polytechnic University of Bari, Italy) Giulio Carraturo (University of Bari, Italy) Danilo Danese (Polytechnic University of Bari, Italy) Giuseppe Fasano (Polytechnic University of Bari, Italy) Mariangela Lippolis (University of Bari, Italy) Benedetta Mattarelli (University of Bari, Italy) Paolo Sorino (Polytechnic University of Bari, Italy) Workshop/Special Session Chairs Vito Walter Anelli (Polytechnic University of Bari, Italy) Xiaofu He (Columbia University, USA) Xinwei Li (Chongqing University of Posts and Telecommunications, China) Paolo Taurisano (University of Bari, Italy) Publicity Chairs Antonio Ferrara (Polytechnic University of Bari, Italy) Hongzhi Kuai (Maebashi Institute of Technology, Japan) Jing Meng (Chongqing Normal University, China) Tutorial Chairs Sebastiano Stramaglia (University of Bari, Italy) Paola Galdi (University of Edinburgh, UK) Poster Session Chairs Domenico Lofù (Polytechnic University of Bari, Italy) Tiziana Lanciano (University of Bari, Italy) Publication Chair Hongzhi Kuai (Maebashi Institute of Technology, Japan) Advisory Board Chair: Ning Zhong (Maebashi Institute of Technology, Japan) Guoming Luan, Sanbo Brain Hospital, China Mufti Mahmud, Nottingham Trent University, UK Nikola Kasabov, Auckland University of Technology, New Zealand Hanchuan Peng, SEU-Allen Institute for Brain & Intelligence, China Hesheng Liu, MGH, Harvard Medical School, USA Shinsuke Shimojo, California Institute of Technology, USA Stefano Panzeri, University Medical Center Hamburg-Eppendorf, Germany Tianzi Jiang, Institute of Automation, CAS, China Tommaso Di Noia, Polytechnic University of Bari, Italy

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