- Comp-neuro - lists.cnsorg.org

Job Advert: Postdoctoral Research Fellow at UCL

by Alex Lloyd

Dear Colleagues, I am writing to advertise a postdoctoral research fellow position at UCL working with Dr Alex Lloyd and Professor Jonathan Roiser. The postdoc will be working on a new project taking a data-driven approach to understanding how young people use social media, and how this is associated with vulnerability for mental health problems. We are looking for somebody with excellent coding abilities to collect and analyse real world social media data (e.g., those collected from data donations or Application Programming Interfaces). The role will start from April 2026 (or as close to this date as possible) until September 2028. Deadline for applications is January 16th. For more details about the role, see: https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=40426&jobTi… I would be most grateful if you would be willing to share the post with colleagues who may be interested in the role. Feel free to email me with any questions at alexander.lloyd(a)ucl.ac.uk Kind regards, Alex -- Dr Alex Lloyd Research Fellow Clinical, Educational and Health Psychology University College London

Jan. 7, 2026

Info Day - International Master & PhD in Computational Neuroscience @ BCCN Berlin - 14.01.26

by GraduatePrograms

Dear Computational Neuroscientists, Please share the following event information with anyone who may be interested. We at the Bernstein Center for Computational Neuroscience (BCCN) Berlin will hold a hybrid "Info Day" to discuss our International Master & Doctoral Programs in Computational Neuroscience next Wednesday, January 14th, at 3pm (CET). Attendees are welcome to join in person at the BCCN Berlin or virtually via Zoom. The event will consist of talks by: * Prof. Dr. Klaus Obermayer (head of the programs) * Dr. Lisa Velenosi (teaching coordinator) * Current master and doctoral students Attendees will also have the opportunity to meet & discuss with current students and ask any questions or concerns that they may have. See our website <https://www.bccn-berlin.de/events-list/information-day-2026-international-g…> for a more detailed schedule and registration link. Best regards and happy new year, Lisa Velenosi -- Dr. Lisa Velenosi Teaching Coordinator of the SFB1315 & BCCN Berlin Humboldt-Universität zu Berlin Philippstraße 13, Haus 6; 10115 Berlin; Germany Tel: +49 (0)30 2093-98503 Tuesdays - Fridays; 9:00 - 14:00

Jan. 7, 2026

Upcoming Hyperscanning Workshop to be held at Inria Paris

by sophie.etling＠inria.fr

Dear colleagues, We are pleased to announce an exciting workshop cohosted by Inria, PRAIRIE School of AI and Nirx entitled "In-Synch: A workshop on Hyperscanning", to be held on February 13th, 2026, at Inria Paris. This workshop brings together leading researchers, hands-on demonstrations with Hyperscanning technologies, and opportunities for scientific exchange around interpersonal brain dynamics, social neuro-AI, and collaborative learning. As well as keynote talks by international researchers, there will be a poster session for PhD students and postdocs to present their work. Registration is limited, so please don't wait to register. For more information, including about how to present a poster, please see the the following EventBrite site: <https://www.eventbrite.com/e/in-sync-a-hyperscanning-workshop-tickets-19772…> We would be grateful if you could share this call broadly and encourage early-career researchers working on hyperscanning and social neuroscience to submit a poster. We look forward to welcoming you in Paris. Best regards, The In-Sync Workshop Organizing Team 📧 in-sync(a)inria.fr

Jan. 6, 2026

Special session in Generative, Foundation Models for Robotics: From Language and Vision to Embodied Action, at WCCI 2026

by Alper Yegenoglu

Dear colleagues, We cordially invite you to submit your paper to the Special Session: "*Generative Foundation Models for Robotics: From Language and Vision to Embodied Action*", to be held at the *2026 IEEE World Congress on Computational Intelligence (WCCI 2026)*. *Website*: https://wccigenai2026.github.io This special session aims to bring together recent advances in generative and foundation models and their applications to robotics. Topics of interest include, but are not limited to: * Diffusion models for robot trajectory planning and control * Generative adversarial networks for robotic applications * Flow matching methods for robotic control * Language-guided robot manipulation and navigation * Meta-learning for adaptive robotic behaviors * Multi-task planning and execution * Transfer learning across robotic domains and environments * Generative imitation learning from human demonstrations * Generative design of robot morphologies * Co-evolution of robot structure and control * Curriculum learning with generative models * Constraint-aware generative planning *Organizers:* Erdal Kayacan (Paderborn University, Germany) Chen Qinyu (Leiden University, The Netherlands) Konstantinos Alexis (Norwegian University of Science and Technology, Norway) Guido de Croon (TU Delft, The Netherlands) Erdi Sayar (Paderborn University, Germany) Van Huyen Dang (Paderborn University, Germany) Alper Yegenoglu (Paderborn University, Germany) Adrian Redder (Paderborn University, Germany) *Paper Submission Deadline*: 31 January, 2026 (UTC-12) Kind regards, Alper -- Dr. *Alper Yegenoglu* Postdoctoral Researcher Automatic Control Group (RAT) University of Paderborn Warburger Str. 100 33098 Paderborn Germany *Office* P1.7.15.4 *Telephone* +49 5251 60-1898 *E-Mail* alper.yegenoglu(a)uni-paderborn.de *Web* https://en.ei.uni-paderborn.de/rat

Jan. 6, 2026

Allen Institute Modeling Software Workshop 2026 - and a brief survey

by Anton Arkhipov

Dear Colleagues, Happy New Year! It is that time of year again when we are asking for your thoughts about modeling and simulation software. Could you please help us understand what the field needs by filling out this brief survey<https://forms.office.com/pages/responsepage.aspx?id=1pxmMn9zOUuL3daVESDT_IQ…>? That will be very helpful to guide our work (and is required by the NIH). Also, consider joining us for the Allen Institute Modeling <https://alleninstitute.org/events/2026-modeling-software-workshop/> Software Workshop<https://alleninstitute.org/events/2026-modeling-software-workshop/> on July 20-22, 2026 at the Allen Institute in Seattle, WA! This hands-on workshop focuses on building and simulating complex and heterogeneous network models grounded in real biological data. Participants will learn to use BMTK, SONATA, VND, our data, and models for simulating brain circuits. Applications<https://alleninstitute.submittable.com/submit/339665/2026-allen-institute-m…> are due March 15th, 2026. Selected applicants will be notified by May 1, 2026. Limited travel funding is available. And another exciting event is happening on January 27 in Singapore: the Neuro for AI & AI for Neuro<https://neuroai-multimodal-workshop.github.io/> workshop at the AAAI 2026 conference<https://aaai.org/conference/aaai/aaai-26/>. Join us for a day of talks, posters, and discussions about cutting-edge research at the intersection of Neuro and AI. We are looking forward to hearing from you. Best regards, Anton. Anton Arkhipov Investigator, Allen Institute antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org> brain-map.org<https://portal.brain-map.org/>

Jan. 5, 2026

Postdoctoral positions in Brain Dynamics / Computational Neuroscience (Chile–Spain)

by Wael El Deredy

Help Shape the Future of Stroke Rehabilitation and Brain Stimulation We invite applications to join the Brain Dynamics Lab—an interdisciplinary research team at the interface of dynamical systems theory, brain network modelling, and neurostimulation-based rehabilitation. Our mission is to uncover and exploit the mechanisms of brain plasticity following stroke and neuromodulation, by combining cutting-edge modelling with real-world neurotechnology. We regard recovery not as anatomical repair, but as a problem of restoring network-level brain dynamics through non-invasive electrical stimulation (tDCS/tACS). We model the brain as a dynamical system perturbed by lesion, reconfigurable via stimulation-dependent plasticity. Paid positions according to the academic level Location: Valencia, Spain Chile [Valparaiso, Santiago, Talca, Concepción, flexible within collaborating institutions] Positions Available: • PhD studentships [2 years] • Postdoctoral research fellows • Research assistants (MSc-level support roles) Fields: Physics, Biomedical Engineering, Electronics/Telecom/Control/Informatics Engineering, Applied Mathematics, Computer Science, Computational Neuroscience What You’ll Work On Successful applicants will join a growing team working on projects including: • Whole-brain network modelling (Kuramoto, Wilson-Cowan, neural mass models) to simulate post-stroke disruption and plastic recovery • Computational modelling of plasticity mechanisms (Hebbian, homeostatic, STDP, resonance-tuned) across varying brain states • Control theory in brain networks, including stimulation as control input to re-establish metastability and synchrony • Analysis of electrophysiological and imaging data (EEG, TMS, lesion mapping) from healthy and clinical populations • Development of simulation-guided protocols for individualized, state-dependent stimulation These positions will support Masters or PhD theses, contribute to postdoctoral innovation, and underpin a translational pipeline from virtual lesion modelling in healthy participants to patient-specific neurorehabilitation strategies. We are looking for: We welcome candidates from a broad range of backgrounds, including: • Physicists with expertise in nonlinear dynamics or network theory • Electrical or Telecom Engineers with skills in signal processing, control theory, modelling, or brain–computer interfaces • Biomedical Engineers experienced in neuroimaging, neurorehabilitation, or neural interfaces • Applied Mathematicians or Computer Scientists with interests in simulation, control or computational neuroscience We value curiosity, collaboration, and a commitment to translational science. Programming skills in Python, Matlab or C++ are required. Prior experience with neural modelling (e.g., Kuramoto, neural masses), data analysis (EEG/fMRI), high performance computing (HPC), or brain stimulation (tDCS/tACS/TMS) is a strong plus but not required. Why join us now This is an exciting moment in the field. Advances in connectome-informed modelling, network control theory, and neuromodulation are converging to make precision neurostimulation a clinical reality. As part of our team, you’ll be at the frontier of: • Designing next-generation rehabilitation tools • Validating models with real-world clinical and experimental data • Publishing in top-tier journals (e.g., Network Neuroscience, Neuroimage, PLOS Comp Biol) • Collaborating with international partners in Spain, Portugal, Chile, and the UK How to apply Send academic CV and one page letter of motivation describing your research interests, and fit with the Brain Dynamics Lab to: Chile Alejandro.Weinstein(a)USM.cl<mailto:Alejandro.Weinstein@USM.cl> Spain Wael.Deredy(a)ValgrAI.EU<mailto:Wael.Deredy@ValgrAI.EU> Selected group publications https://arxiv.org/abs/2511.14065 https://www.biorxiv.org/content/10.1101/2025.04.30.651283v2.abstract https://www.nature.com/articles/s41598-025-27606-5 https://www.nature.com/articles/s41598-025-14299-z https://ieeexplore.ieee.org/abstract/document/10937758/ https://doi.org/10.1098/rstb.2023.0093 https://link.springer.com/article/10.1007/s11571-024-10093-1

Jan. 5, 2026

ICPRAI 2026: Special Session on Frontiers of Artificial Intelligence for Medical Applications: Models, Reasoning, Perception, and Interaction

by Ghazaleh Khodabandelou

Frontiers of Artificial Intelligence for Medical Applications: Models, Reasoning, Perception, and Interaction ICPRAI 2026, Montréal, Québec, Canada, June, 2026 https://icprai2026.com/ Scope Artificial intelligence has seen remarkable progress in digital healthcare across areas such as learning algorithms, knowledge representation, perception, and interaction. From deep learning advances in vision and language, to reinforcement learning for control, to symbolic and neuro-symbolic hybrids for robust reasoning, modern AI systems are increasingly capable of understanding complex data, adapting to new tasks, and interacting with humans and environments. This Special Session invites original contributions that explore foundational models, architectures, and applications spanning the AI spectrum, including but not limited to learning and representation; planning and decision-making; perception and multimodal understanding; human-AI collaboration; and trustworthy, explainable, and ethical AI. We welcome theoretical analyses, novel algorithms, system implementations, and domain-specific studies that illustrate state-of-the-art techniques and future directions in AI, with special encouragement for work in large language models, multimodal vision-language modeling, and impactful applications in healthcare and medical domains such as medical imaging, autism detection, neurodegenerative disorders (e.g., Alzheimer’s and Parkinson’s), and diabetes management. Topics of Interest Topics of interest include, but are not limited to: • Large Language Models (LLMs) and foundation models • Embeddings, representation learning, and transfer learning • Generative modeling: GANs, VAEs, diffusion and beyond • Multimodal integration: vision-language, audio-visual, sensor fusion • Symbolic, neuro-symbolic, and hybrid reasoning systems • Automated planning, scheduling, and decision-theoretic frameworks • Reinforcement learning, multi-agent systems, and control • Human-AI collaboration, mixed-initiative interfaces, and personalization • Explainability, interpretability, causal analysis, and fairness • Robustness, safety, trustworthiness, and privacy-preserving AI • Healthcare and medical AI applications: imaging, diagnostics, chronic care 1 Important Dates • Full paper submission deadline: January 15, 2026 • Notification of acceptance: March 7, 2026 • Camera-ready deadline: March 13, 2026 • Early Registration deadline: until April 30, 2026 • Special Session at ICPRAI: June 15-18, 2026 Submission Guidelines Please follow the standard ICPRAI submission instructions at the conference website. When up loading your paper, select “Frontiers of Artificial Intelligence for Medical Applications: Models, Reasoning, Perception, and Interaction ” as the target session. Organizers • Prof. Ghazaleh Khodabandelou, University Paris-Est, France ghazaleh.khodabandelou(a)u-pec.fr<mailto:ghazaleh.khodabandelou@u-pec.fr> • Prof. Mounîm A. El Yacoubi, Institut Polytechnique de Paris, France mounim.el_yacoubi(a)telecom-sudparis.eu<mailto:mounim.el_yacoubi@telecom-sudparis.eu> Direct submission link (EasyChair): https://easychair.org/conferences2/submissions?a=35638543 (Please select the Special Session when submitting.)

Jan. 4, 2026

Project Research Scientist Position at IIT Ropar.

by Sukrit Gupta

Dear all, we are hiring a Project Research Scientist (Non Medical) at IIT Ropar for an ICMR project. Our lab does work with clinicians at multiple public hospitals in North India and this project is in collaboration with clinicians at PGIMER, Chandigarh. The project is funded for five years. Would prefer someone who has a computer science or AI background. Detailed advertisement at https://www.iitrpr.ac.in/downloads/sites/default/files/December/AD-01.pdf The selected candidate will be expected to enroll for a PhD at IIT Ropar. If you're interested you can drop me an email at sukrit.gupta(a)iitrpr.ac.in Deadline for application is: 10 January, 2026. Regards, Sukrit ________________ Sukrit Gupta, BEng (CS, PEC, India), PhD (CS, NTU, Singapore) Assistant Professor, Department of Biomedical Engineering, and School of Artificial Intelligence and Data Engineering, Indian Institute of Technology, Ropar, Punjab, India. Office: Room No. BM 28, Super Academic Block, IIT Ropar. Phone: +91 1881 232170, E: sukrit.gupta(a)iitrpr.ac.in, W: https://sites.google.com/site/sukritsite *God, grant me the serenity to accept the things I cannot change, the courage to change the things I can, and the wisdom to know the difference.*

Jan. 4, 2026

What can you do with 1000 neurons? Task 3

by Nicolas P. Rougier (inria)

Dear all, The second task (cued decision) is still unsolved but the the challenge is still running with a new task (valued decision) as well as a new agenda. You'll find instructions at https://github.com/rougier/braincraft and the rules for the new task. Reminder: you have have 1000 neurons (leaky rate models), 100 seconds of training time and 10 runs for evaluation. The difficulty comes from the imposed constraints. Best, Nicolas Rougier. -- Nicolas P. Rougier —— www.labri.fr/perso/nrougier Institute of Neurodegenerative Diseases, Bordeaux

Jan. 4, 2026

Special Issue: Bio-Inspired Computation Based on Mathematical Modeling—Theories and Applications in Health Sciences

by Barna Iantovics

Call for papersSpecial Issue: Bio-Inspired Computation Based onMathematical Modeling—Theories and Applications in Health SciencesJournal: Mathematics (ISSN 2227-7390) Impact Factor 2.2Submission https://www.mdpi.com/journal/mathematics/special_issues/9B5062KZ98 Dear Colleague, You are kindly invited to contribute with a paper to theSpecial Issue. It is estimated that biological life that has evolved overmillions of years will be a fruitful source of inspiration for the developmentof novel computational mathematical methods in the years to come, representingimportant research directions on mathematical modeling in the field ofartificial intelligence. Diverse problems in health sciences are computationally hardand cannot be solved efficiently via actual methods. Mathematical modelingbased on bio-inspired computing applied to solve computationally hard problemsin health sciences domains is an emerging field in this area. Bio-inspiredcomputing has been proven successful for solving a large variety of problems indomains of science where other methods have not been so effective. In this context, this Special Issue invites researchers tocontribute original works regarding the development of bio-inspiredcomputational and hybrid methods for solving difficult problems in healthsciences that represent significant scientific advancements. Kind regards,Guest EditorsProf. Dr. Laszlo Barna IantovicsProf. Dr. Matthias DehmerProf. Dr. Francesco FlamminiProf. Dr. Frank Emmert-Streib

Jan. 4, 2026

Call for papers - Special Issue: Advances in Intelligent Systems, Technologies and Applications

by Barna Iantovics

Call for papersSpecial Issue: Advances inIntelligent Systems, Technologies and ApplicationsJournal: Applied Sciences (ISSN2076-3417) Impact Factor 2.5Submission https://www.mdpi.com/journal/applsci/special_issues/5IQ6DOHB42 Dear Colleague, You are kindly invited tocontribute with a paper to the Special Issue. Intelligence in nature is verydiverse; it can be discussed in terms of the intelligence of chimps, dolphins,and many other animals and even the collective intelligence of very simple lifeforms such as ants. The concept of intelligence is being adopted in manydomains of science. From practical and theoreticalperspectives, an essential current research direction that is under examinationby a very large number of scientists worldwide is the development of artificialsystems, also called agent-based systems, which can be either individual agentsor cooperative multiagent systems. These systems are embedded in theenvironment, possess a certain degree of autonomy, and are capable ofperceiving the environment and executing actions in it. Intelligence inagent-based systems can emerge through advanced problem-solving abilities. Todevelop these intelligent systems, techniques such as supervised learning andunsupervised learning play pivotal roles. Supervised learning involves trainingsystems on labeled datasets, enabling them to map inputs to outputs and improvetheir predictions or classifications over time. These methods are extensivelyused in applications such as image recognition, natural language processing,and medical diagnosis. On the other hand, unsupervised learning enables systemsto identify patterns and structures in unlabeled data, facilitating clustering,anomaly detection, and exploratory data analysis. A more recent paradigm,retrieval-augmented generation (RAG) and cache-augmented generation (CAG),combines retrieval- and cache-based methods with generative models to enhanceintelligent systems, producing highly contextualized and accurate responses oractions. These approaches are instrumental in developing advanced systems fordomains such as conversational AI, knowledge management, and decision support.Intelligent agent-based systems have many real-world applications, includingthe health sciences and industry. The number and diversity of intelligentsystems are increasing rapidly. In this context, the great challenge consistsof creating increasingly intelligent systems. Another critical challenge,approached by only a few researchers worldwide, is the development of universalmetrics, including black-box-based intelligence metrics, to measure theintelligence of these systems. Such advances could allow for the comparison ofsystems based on their intelligence. In cooperative multiagent systems,intelligence can be assessed at the system level; this is known as collectiveintelligence. Even in very simple cooperative multiagent systems, agents mayinteract nonlinearly at various decision points, resulting in emergentcomplexity and intelligence at the system level. This Special Issue aims toestablish a solid foundation for future research through a collection of papersthat advance the field by elaborating on theories, designing applications, andpresenting surveys regarding the next generation of increasingly intelligentsystems. The areas of research covered in these papers could include the studyof self-organization, emergence, hybridization, scalability, robustness,measuring machine intelligence, and the integration of advanced paradigms suchas supervised learning, unsupervised learning, retrieval-augmented generation,and cache-augmented generation. Kind regards,Guest EditorsProf. Dr. Laszlo Barna IantovicsProf. Dr. László KovácsDr. Attila Biró

Jan. 4, 2026

Fwd: [seminar.wwtns] World wide VVTNS series (6th season): Wednesday, January 7, 2025, at 11:00 am ET - Carlos Brody, Princeton Neuroscience Institute

by David Hansel

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the VVTNS 2026 opening lecture Carlos Brody Princeton Neuroscience Institute on the topic of *Towards using large-scale, cross-brain neuronal recordings * *to identify the brain’s internal signals* to identify the brain’s internal signals The lecture will be held on zoom on January 7, 2026, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Neural activity is often analyzed with respect to external referents, such as the onset of a sensory stimulus or an overt motor action. Simultaneous recordings allow referencing neurons’ activity to each other and thus detecting signals that are internal to the organism. Further, multi-region simultaneous recordings allow observing how these internal signals are coordinated across the brain. Following this logic in rats performing a perceptual decision-making task, we recorded simultaneously from thousands of neurons across up to 20 brain regions at once. Here we report two internal signals which we found to profoundly shape decision-related neural dynamics and brain states. First, we decoded the continuously evolving decision state separately from each region, and found surprisingly large magnitude co-fluctuations in these measures. Dimensionality analysis showed these to be dominated by a single state variable, suggesting that only a single decision-making computation, not multiple parallel computations, are being carried out during the analyzed period. Second, we found that the precise time the subject commits to a decision – a covert event that we decoded from large-scale neural activity in primary motor cortex – was accompanied by a coordinated change, across the brain, from a decision formation to a post-commitment state. The two states differ substantially in their choice-predictive neural dynamics and in their inter-region correlations. Therefore, knowing the time of this state change on single trials is needed to correctly parse fundamentally different phases of decision-making. Overall, our data suggest that internally-referenced signals and state changes, not timelocked to external events but detectable through simultaneous recordings, are major features of neural activity during cognition. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ

Jan. 4, 2026

Postdoctoral position in Development and Egocentric Vision.

by Bonnen, Kathryn

Postdoctoral position in Development and Egocentric Vision. The Training Program in Integrative Developmental Processes at Indiana University invites applications for a T32-funded postdoctoral fellowship in Bloomington, Indiana. We seek highly motivated individuals interested in research at the intersection of development, vision science, and computer vision. The postdoctoral fellow will join a collaborative research environment dedicated to understanding developmental processes through egocentric vision in natural tasks, using advanced computational methods and multimodal datasets to advance developmental theory. Indiana University offers a highly interdisciplinary training environment with exceptional career development and mentoring opportunities. The position will be jointly mentored by Dr. Rowan Candy, whose research integrates behavioral, optical, and neuroscientific approaches to study typical and atypical visual development; and Dr. Kathryn Bonnen, a computational neuroscientist specializing in visuomotor coordination in natural tasks. The broader research community includes faculty from Computer Science (Dr. David Crandall, Dr. Zoran Tiganj), Informatics (Dr. Justin Wood, Dr. Samantha Wood), and Psychological and Brain Sciences (Dr. Linda Smith, Dr. Joshua W. Brown, Dr. Ehren Newman). Applicants should have strong computational skills and a background in one or more of the following areas: developmental science, vision science, neuroscience, motor control, computer science, psychology, or related fields. Eligibility: U.S. citizens or permanent residents who currently hold a doctoral degree or will have met all doctoral program requirements before enrolling. Applicants should send a cover letter describing their motivation for applying and a curriculum vitae to: Dr. Rowan Candy (rcandy(a)iu.edu) Dr. Kathryn Bonnen (kbonnen(a)iu.edu) Position is available immediately and will remain open until filled. -- Kathryn Bonnen Assistant Professor, School of Optometry Indiana University kbonnen(a)iu.edu<mailto:kbonnen@iu.edu> https://bonnenlab.github.io

Jan. 3, 2026

Review of 2025 in neuroscience

by Mark Humphries (staff)

My regular review of the year in neuroscience is up on The Spike: https://medium.com/the-spike/2025-a-review-of-the-year-in-neuroscience-b062… The tenth of these, would you believe? Enjoy! Mark Professor Mark Humphries | Professor of Computational Neuroscience Office hours: Calendar<https://calendar.google.com/calendar/u/0?cid=a2twY2xkYXNvazVnYnA3ODM2bmFwZ2…> Lab: humphries-lab.org<https://www.humphries-lab.org/> Connect: Bluesky<https://bsky.app/profile/markdhumphries.bsky.social> / LinkedIn<https://www.linkedin.com/in/mark-humphries-65a460212/> / X<https://x.com/markdhumphries> Essays on the brain and science: drmdhumphries.medium.com<https://drmdhumphries.medium.com/> Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) in hardback<https://press.princeton.edu/books/hardcover/9780691195889/the-spike?_gl=1*h…..>, paperback<https://press.princeton.edu/books/paperback/9780691241487/the-spike>, ebook<https://press.princeton.edu/books/ebook/9780691213514/the-spike-0?_gl=1*1uf…..> & audiobook<https://press.princeton.edu/books/audio/9780691224091/the-spike?_gl=1*37xz7…..> <https://press.princeton.edu/books/audio/9780691224091/the-spike?_gl=1*37xz7…..> read by Anand Jagatia This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

Jan. 2, 2026

The First International Young Scholars Forum,School of AI for Science, Peking University

by Wei Fang

Dear Colleagues: The School of AI for Science, Peking University is planning to host the First International Young Scholars Forum in late January 2026, and will *provide travel grants for outstanding scholars*. This forum is particularly suitable for scholars with interdisciplinary backgrounds in neuroscience and machine learning. In addition, the School of AI for Science, Peking University is actively recruiting outstanding scholars from around the world. *You will have the opportunity to discuss with the school’s faculty and staff the possibility of joining Peking University and obtaining a faculty position during the forum.* Here are the specific details of the forum: -------------------- *The First International Young Scholars Forum* *School of AI for Science, Peking University* *1. **Forum Background* The School of AI for Science at Peking University Shenzhen Graduate School will host the first International Young Scholars Forum in late January 2026. The forum will center on core research areas in the field of AI for Science, with a focus on cutting-edge domains, including the Foundations of AI for Science, AI for Materials Science, AI for Life Sciences, and Computational Mathematics. *2. **School Introduction* In 2025, in response to the scientific revolution and industrial transformation of the intelligent era, with a forward-looking vision, Peking University established the School of AI for Science (the School) at its Shenzhen Graduate School. As the world’s first higher education platform to promote the institutionalized development of AI for Science through an independent academic unit, the School focuses on the deep integration of artificial intelligence and fundamental sciences. It will establish a dual-track mentorship system under the "AI + Science" framework, pioneer a research paradigm that closely integrates scientific principles with big data, and build an open and collaborative innovation ecosystem. By accelerating the process of scientific discovery and shaping the future industrial landscape, the School is committed to cultivating interdisciplinary talents with global perspectives and innovation capabilities. - Student Cultivation: The School has launched the Boya AI for Science (AI4S) Top-Talents Cultivation Program, which selects outstanding undergraduate students from Peking University and Tsinghua University for further studies. It is one of the few schools at the Peking University Shenzhen Graduate School that offers an undergraduate program. Meanwhile, the School is planning and developing the AI4S Teaching Platform. By building a smart, blended teaching platform that integrates online and offline components with laboratory facilities, it aims to provide teachers with a brand-new teaching experience. - Research Support: The School supports the dual-appointment of faculty members in relevant fields at the PengCheng Laboratory, granting them access to the PengCheng Cloud Brain—a world-leading large-scale intelligent computing platform. This provides robust computing power for computing-intensive research projects such as large model development and large scientific facility research, overcoming the computing power bottleneck in scientific research. In addition, the School has taken the lead in establishing the International Alliance of AI for Science, building the AI4S Lab—the world’s first one-stop digital and intelligent life science research platform—and setting up a number of industry-university joint laboratories, while also planning to construct the Guangdong-Hong Kong-Macao Greater Bay Area Institute of AI for Science. Rooted in the innovation hub of the Guangdong-Hong Kong-Macao Greater Bay Area, the School is committed to building a closed-loop, full-chain transformation system integrating basic research, technological breakthroughs, and industrial applications through these initiatives. Collectively, these efforts have forged a comprehensive full-chain platform for faculty to conduct international academic cooperation, facilitate the industrialization of research outcomes, and carry out interdisciplinary research; they enable faculty to connect with top-tier global resources, align with real-world industrial needs, tackle core key technologies in the field of AI for Science, and accelerate the output of cutting-edge research achievements. - Excellent Talents in Collaboration: Through programs such as the National Science Fund for Excellent Young Scholars (overseas), the School has successfully gathered a group of aspiring and accomplished talented young academics. By joining the School, you will collaborate with peers in its open ecosystem, tackle core challenges, and jointly pioneer the future landscape of AI for Science. For more details, please visit the official website of the School of AI for Science at Peking University: https://ai4s.pkusz.edu.cn/en/ *Vision:* Accelerating Scientific Discovery, Defining the Future of Industry *Educational Philosophy:* Rooted in first principles, Driven by intelligence, Promoting interdisciplinarity, Shaping the future. *3. **Registration **Requirements* (1) Ph.D. degree in AI for Science, Artificial Intelligence, fundamental sciences, or a related interdisciplinary field, with a solid academic background. (2) Before April 1, 2026, generally should have obtained formal teaching or research position in an overseas university, scientific research institution, or enterprise R&D institution, and have more than 36 consecutive months of work experience. For those who have obtained a doctorate overseas and have particularly outstanding performance, the working years requirement may be relaxed appropriately. (3) Expertise in specialized fields, rigorous academic integrity, and excellent team spirit. *4. **Registration Method and Required Materials* (1) Application Deadline: 24:00 (Beijing Time), January 15, 2026 (2) Required Materials: Detailed personal resume, title, and abstract of the presentation to be delivered at the forum. (3) Submission Email: ai4s(a)pku.edu.cn Note: The School of AI for Science at Peking University will cover part of the international travel expenses for scholars invited to attend the main forum offline. *5. **Salary and Benefits* Peking University Shenzhen Graduate School is committed to offering a competitive compensation system that meets both domestic and international standards. Our scientific and reasonable salary models have predictable growth mechanisms, and provide comprehensive social security and welfare benefits. Based on the specific position, we offer competitive research start-up funds and dedicated research and office space. We also assist newly recruited faculty apply for various national, Guangdong Provincial, and Shenzhen Municipal talent programs or initiatives. Specific salary and additional benefits are negotiable based on qualifications and experience. *6. **Contact Information* (1) Contact Person: Ms. Bao (2) Email: baojy(a)pku.edu.cn *Welcome to the School of AI for Science at Peking University**—**where innovation meets intelligence!* *Join us, let’s create a new paradigm for scientific research in the era of intelligence together!* -- ----------------------- Wei Fang Postdoc, Electrical & Computer Engineering Yale University, USA

Dec. 31, 2025

Postdoc on attention in VLMs at NYU

by Grace Lindsay

I'm looking to hire a postdoc to study the attention abilities (i.e. ability to selectively process relevant sensory information) of large Vision-Language Models. The position will be based at the Center for Data Science at New York University. Interested candidates can find more information and instructions on how to apply here: https://lindsay-lab.github.io/2025/12/08/postdoc-ad.html -- Grace Lindsay Assistant Professor, Psychology & Data Science New York University gracewlindsay.com lindsay-lab.github.io *Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain* <https://gracewlindsay.com/2021/02/10/models-of-the-mind-how-physics-enginee…>

Dec. 30, 2025

Positions for international postdocs in the Tchumatchenko lab in Bonn/Germany

by Tatjana Tchumatchenko

Dear friends and colleagues, I am looking to recruit international postdoctoral fellows to my lab. It would be great to attract scientists who didn't have yet exposure to the German neuroscience community and who would bring complementary expertise and perspectives. *Two postdoc positions (m/f/d) are available in the Tchumatchenko group.* The Tchumatchenko Group is seeking to attract two highly motivated postdoc candidates (0-5 years post PhD) to conduct research in the field of computational neuroscience. Prof. Tatjana Tchumatchenko was recently appointed a Henriette Herz scout at the Alexander von Humboldt foundation and is looking to attract two international postdocs though this funding scheme [1]. The ideal candidate will be an international, highly motivated, scientifically curious postdoctoral fellow with a strong work ethic and a PhD degree in life sciences, Neuroscience, Physics, Mathematics, Engineering or similar disciplines who looking to answer open question in computational neuroscience. Great social skills, excellent command of the English language and enthusiasm for working in a competitive interdisciplinary research team are essential. Potential scientific projects should lie either at the boundary between behavioral analysis and circuit neuroscience or at the boundary between molecular dynamics and circuit neuroscience: how is the molecular dynamics organized across the brain and what are statistical differences across cell types? How can we design computational models and conduct data analysis at the level transcriptomes and proteomes to understand the implementation of physiological and behavioral conditions across the brain? How can we relate learning at the level of synapses and circuits to behavioral changes observed in animals? Can we identify behavioral states and link them to particular circuit activity states? Please send your application together with a cover letter, a CV with contact details from one academic reference and copies of all relevant degree certificates to tatjana.tchumatchenko(a)uni-bonn.de. Please include in your subject line “AvH Application your name”. We are looking forward to your application! Duration and salary will be according to the fellowship scale of the Alexander von Humboldt foundation. Start date negotiable, preference for April to October 2026 or 2027. Tatjana Tchumatchenko Professor (W3) for Computational Neuroscience of Behavior Institute for Experimental Epileptology and Cognition Research Medical Faculty, University of Bonn Poppelsdorfer Allee 24 53115 Bonn www.tchumatchenko.de [1] https://www.humboldt-foundation.de/bewerben/foerderprogramme/henriette-herz…

Dec. 29, 2025

Fully-funded Neuroscience PhD program at Champalimaud Foundation

by Memming Park

Greetings everyone, Applications are now open for the *International Neuroscience Doctoral Programme (INDP)* at Champalimaud Foundation, Lisbon, Portugal. *Deadline for application: Jan 31, 2026* https://fchampalimaud.org/champalimaud-research/education/indp <https://protect.checkpoint.com/v2/r01/___https://fchampalimaud.org/champali…> Research program spans systems/computational/theoretical/clinical/sensory/motor neuroscience, neuroethology, intelligence, and more!! The programme includes an initial year of classes + three lab rotations. We seek talented, motivated applicants from all areas of neuroscience, as well as physics, math, stats, computer science, electrical/biomedical engineering, and related quantitative background To learn more about the culture and value of Champalimaud Research, check out: https://www.fchampalimaud.org/about-cr <https://protect.checkpoint.com/v2/r01/___https://www.fchampalimaud.org/abou…> Looking forward to your applications! (and please forward as you see fit. Thanks!) Sincerely, Memming Park Director of INDP P.S. Happy holidays! --- Group Leader, Champalimaud Centre for the Unknown, Lisbon, Portugal Neural Dynamics = CATNIP Lab http://catniplab.github.io/

Dec. 28, 2025

PhD position and further opportunities in the group “Neural network dynamics and computation” (Raoul-Martin Memmesheimer, University of Bonn)

by Raoul-Martin Memmesheimer

PhD position and further opportunities in the group “Neural network dynamics and computation” (Raoul-Martin Memmesheimer, University of Bonn) There is a fully funded PhD position (65% E13) available in the “Neural network dynamics and computation” group at the University of Bonn lead by Raoul-Martin Memmesheimer. The scope of the research is rather open, ranging from computations and learning in precisely spiking neural networks, which is relevant for neural network modeling and neuromorphic machine learning, to investigating representational drift and its consequences by means of data acquired by our experimentally working colleagues at the University of Bonn. At an earlier career stage, you can write your Bachelor’s or Master’s thesis, or do a short-term internship to get to know research in theoretical neuroscience/neurophysics. Optimal backgrounds of applicants include physics, theoretical neuroscience, theoretical biology, computer science and mathematics. If you are interested in more information, see our website (www.nndc.group) contact Raoul-Martin Memmesheimer via email (rm.memmesheimer(a)uni-bonn.de) or, if you are in the neighborhood, come over to our offices near the botanical garden of the University of Bonn.

Dec. 23, 2025

Application Deadline EXTENDED: Nengo Summer School 2026

by Kathryn Simone

Dear colleagues, The deadline for application to the 2026 Nengo Summer School has been extended to 15 January, 2026 Anywhere On Earth. All details about this school can be found online at https://www.nengo.ai/summer-school The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 11th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/hHwIryt053M?si=N70eVlC3Sm_2sDy5 We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. Application Deadline EXTENDED: January 15th, 2026 Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, creating models to account for neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! * Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. BrainDrop, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * build models to account for anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model  * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * neurally implement vector symbolic architecture algorithms * and much more… Date and Location: May 31st to June 12th, 2026 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact: Madeleine Bartlett: madeleine.bartlett(a)uwaterloo.ca Kathryn Simone: kpsimone(a)uwaterloo.ca The school is partly supported by ABR, Inc. We look forward to hearing from you! Kathryn Simone, PhD Postdoctoral Fellow, Computational Neuroscience Research Group Department of Systems Design Engineering University of Waterloo

Dec. 22, 2025

Special Session "MLDL-HIC" at WCCI 2026 - Maastricht, Netherlands

by Pub Conference

Dear Colleague, We are organizing a Special Session for the International Joint Conference on Neural Networks (IJCNN 2026) entitled *“Advances in Machine Learning and Deep Learning for Hyperspectral Image Classification,”* which is part of the IEEE World Congress on Computational Intelligence (WCCI) 2026, to be held in Maastricht, the Netherlands, June 21–26, 2026. The objective of this special session is to bring together researchers and practitioners in machine learning, deep learning, and remote sensing to share novel computational approaches for hyperspectral image classification. Topics of interest include, but are not limited to, the following: · Remote Sensing Applications of Hyperspectral Imaging · Hyperspectral Imaging for Advanced Remote Sensing Techniques · Deep Learning Architectures for Hyperspectral Image Classification · Transfer Learning for Hyperspectral Image Classification · Unsupervised and Semi-Supervised Learning Methods · Data Augmentation and Synthetic Data Generation for Hyperspectral Data · Multisource and Multimodal Data Fusion · Explainability and Interpretability in Hyperspectral Image Classification · Advanced Feature Extraction Techniques · Adversarial Attacks and Robustness in Hyperspectral Image Classification · Real-Time Hyperspectral Image Classification · Applications of Hyperspectral Image Classification · Benchmarking and Evaluation of Deep Learning Models · Hybrid and Ensemble Models for Hyperspectral Classification · Hyperparameter Tuning and Optimization Techniques · Challenges and Future Directions in Hyperspectral Image Classification Details about the session can be found here: https://sites.google.com/view/wcci2026/home Information on papers submission can be found here: https://attend.ieee.org/wcci-2026/information-for-authors/ <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fattend.ie…> All accepted papers will be included in the WCCI 2026 proceedings, published on the IEEE Xplore Digital Library. The deadline for the submission of papers is approaching: January 31, 2026, 23:59 AoE time (no extension will be given, see Important Dates <https://attend.ieee.org/wcci-2026/important-dates-deadlines/>) For any additional inquiries, please feel free to contact us. Best regards, Nian Ashlee Zhang, University of the District of Columbia, USA Man-Fai Leung, Anglia Ruskin University, U.K. Feng Xia, RMIT University, Australia Donald C. Wunsch II, Missouri University of Science and Technology, USA

Dec. 22, 2025

Lorentz Center symposium "Brain and Organisms, Neuroscience beyond Computation"

by Francesco Battaglia

Dear all, we are still taking registrations for our Lorentz Center Symposium "Brain and Organisms, Neuroscience beyond Computation" to be held in Leiden 16 to 20 March 2026. Since the 1990s, that were designated as the “Decade of the brain” new technologies have generate a wealth of empirical data unimaginable before. Yet that era’s hopes for a new understanding of the brain that would translate into effective treatment for a number of brain disorders seem to be put on hold. The currently slow progress of brain theory, and, relatedly, of clinical innovation has, in our opinion, a key cause in reductionist, and reductive dominant paradigm which looks at “brain machinery” in isolation, without paying much attention to the link between the brain and the physiology of the whole organism, and to the social-ecological environment in which natural brains operate. The symposium will bring together mathematicians, philosophers, computer scientists, and experimental neuroscientists to identify how a broader perspective on brain-organism-environment may help formulating new conceptual tools, and novel experimental paradigms. The sessions will progress from debating to value of current computational and modeling trends, to highly conceptual and theoretical perspective of the biological brain and ending with the discussing how the brain integrates into the organism as a whole, and into a social network in individuals. We hope to formulate new ideas, which will be summarized for example in a special issue of a prominent academic journal. You can see more info, and register at https://www.lorentzcenter.nl/brain-and-organisms-neuroscience-beyond-comput… Please do not hesitate contacting me if you have any questions! All best, Francesco Prof. Dr. Francesco P. Battaglia Principal Investigator Neuronal Networks of Memory Lab Donders Centre for Neuroscience Heyendaalseweg 135 6525AJ Nijmegen - The Netherlands francesco.battaglia(a)donders.ru.nl fpbattaglia(a)gmail.com Post address: P.O. box 9010 internal Mailbox 66 6500GL Nijmegen The Netherlands September 2025- January 2026: Distinguished NIAS-Lorentz Center Fellow (on sabbatical at NIAS in Amsterdam)

Dec. 21, 2025

Konstanz School of Collective Behaviour 2026 ( Deadline : March 15th, 2026)

by Ahmed El Hady

*Konstanz School of Collective Behaviour 2026* *Konstanz, Germany * *20th July 2026 – 7th August 2026 *** *Deadline to apply: March 15th, 2026* The Konstanz School of Collective Behaviour (KSCB) <https://www.exc.uni-konstanz.de/kscb/about/> will take place between 20th July – 7th August 2026 at the Cluster of Excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz <https://www.uni-konstanz.de/en/>. Konstanz <https://www.konstanz.de/start> is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over three weeks, students will delve deeply into the topic of collective behaviour with lectures, hands-on tutorials, and projects, making it a unique and unforgettable experience. The school faculty will cover collective behaviours across a variety of species from cells, worms, drosophila, fish to non – human primates and human. A set of tutorials delving into state-of-the-art quantitative methods used to study collective behaviour will complement the lectures. At the end of the school, students will work on independent projects guided by our resident faculty and tutors. The Konstanz School of Collective Behaviour is intended for graduate students, doctoral researchers, and early postdoctoral researchers. We consider applicants with strong quantitative background including but not limited to physics, computer science, mathematics and engineering. Applicants with biological and experimental background will be considered if they demonstrate in their application extensive quantitative and mathematical background as the focus of the school is quantitative study of collective behaviours. Accommodation will be provided and paid by the organizers. A limited number of travel support will be provided and a registration fee will be due (500 Euros) once the student is admitted to the Konstanz School of Collective Behaviour. The registration fee will be waived to those coming from underrepresented minorities and those in need of financial support. The submission of applications for the fourth Konstanz School of Collective Behaviour is currently open until March 15, 2026. We will inform the applicants during the month of April whether their application was successful For further information about the school and the application procedure , visit our website: _https://www.exc.uni-konstanz.de/kscb/application-procedure/ _ *KSCB 2026 faculty : * ·Anastasia Bizyaeva ( Cornell University, USA) ·Iain Couzin ( University of Konstanz / Max Planck Institute of Animal Behavior) ·Einat Couzin-fuchs ( University of Konstanz ) ·David Garcia ( University of Konstanz ) ·Dan Gorbonos ( Holon Institute of Technology, Israel and Max Planck Institute of Animal Behavior) ·Stefan Krapitscka ( University of Konstanz ) ·Zachary Kilpatrick ( University of Colorado Boulder, USA) ·Liang Li ( Max Planck Institute of Animal Behavior) ·Yonatan Loewenstein ( Hebrew University of Jerusalem, Israel) ·Ran Nathan ( Hebrew University of Jerusalem, Israel ) ·Mor Nitzan ( Hebrew University of Jerusalem, Israel) ·Britta Renner ( University of Konstanz ) ·Allyson Sgro ( Janelia Farm Research Campus, Virginia, USA) ·Joshua Shaevitz ( Princeton University, USA) ·Ariana Strandburg-Peshkin ( Max Planck Institute of Animal Behavior) ·Katrin Vogt ( University of Konstanz ) *In case you have any questions, please contact: **ahmed.el-hady(a)uni-konstanz.de <mailto:ahmed.el-hady@uni-konstanz.de>** * All the best regards, Ahmed El Hady On behalf of the KSCB organizational committee Dr. Ahmed El Hady Principal Investigator Cluster for Advanced Study of Collective Behavior, University of Konstanz Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

Dec. 20, 2025

Postdoctoral Position - Computational Models of Hearing

by Stevenson, Ian

The Physiological Acoustics Lab<http://escabilab.uconn.edu/> (http://escabilab.uconn.edu) at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience. DUTIES AND RESPONSIBILITIES We are seeking highly motivated and creative applicants who can lead a project on Misophonia, a psychological and behavioral disorder in which individuals experience adverse emotional reactions to specific sounds (“auditory triggers”). The broad project goal is to develop computational models of hearing and perception that are fitted to human perceptual measurements and that can be used to characterize and diagnose misophonia. The models will also be used to develop sound processing tools to remove and de-emphasize auditory triggers (e.g., with headphones) and improve participant outcomes. The project will use a variety of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. UConn has a vibrant neuroscience community, and there are opportunities for collaboration between departments, institutes, and Universities involved in the project. The primary appointment is in Biomedical Engineering and/or Electrical Engineering. The work will be conducted in collaboration with the Behavioral Neuroscience program in the Psychological Sciences department (Ian Stevenson), the Electrical and Computer Engineering/Biomedical Engineering departments at the University of Connecticut (Monty Escabí), and the Connecticut Institute for Brain and Cognitive Sciences. MINIMUM QUALIFICATIONS * A PhD in Neuroscience, Biomedical Engineering, Computational Neuroscience, or a related field is required. * Experience with experimental design, data analysis, and/or modeling. PREFERRED QUALIFICATIONS * Previous experience, education, or general proven knowledge in hearing or speech and language sciences. * Interdisciplinary research experience in computational and systems neuroscience with prior research experience in human behavior, animal behavior and/or brain physiology. * A strong analytic background, particularly in modeling neural systems and analyzing large datasets. * Experience with acoustic signal processing, sound recognition, and machine learning. APPOINTMENT TERMS This is a full-time, 12-month position funded through the Misophonia Research Fund on a yearly basis. Salaries follow the post-doctoral scale and are based on experience. TERMS AND CONDITIONS OF EMPLOYMENT Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. TO APPLY Please apply online at https://hr.uconn.edu/jobs, Staff Positions, Search #499299 to upload a single PDF file containing: * a resume (including past research experience and published work), * a one-page statement of prior research experience, * a one-page statement of future research interests and objectives, and * the names and contact information of at least two individuals who can provide reference letters. All employees are subject to adherence to the State Code of Ethics which may be found at https://portal.ct.gov/Ethics/Statutes-and-Regulations. All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community. The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee’s unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The University of Connecticut is an AA/EEO Employer. Ian Stevenson Associate Professor University of Connecticut Department of Psychological Sciences stevenson.lab.uconn.edu<http://stevenson.lab.uconn.edu>

Dec. 19, 2025

Call for Application: Systems Vision Science Virtual Summer School & Symposium: July 8th – July 31st, 2026

by Pavlovic, Maria

Systems Vision Science Virtual Summer School & Symposium: July 8th - July 31st, 2026 -------------------------------- Applications are invited for a <https://summerschool.lizhaoping.org/virtual-systems-vision-science-summer-s chool-symposium-2024/> virtual edition of the Systems Vision Science Summer School and Symposium that took place in Max Planck Institute for Biological Cybernetics in Tuebingen, Germany in August 2023 <https://summerschool.lizhaoping.org/editions-in-previous-years/> and August 2025 and virtual in 2024. This year, the virtual edition enables students to attend from afar by formal lectures via Zoom and informal and social communications via a Slack channel. Systems Vision Science combines computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. This summer school is designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models. The syllabus content will be very similar to the edition in 2024 <https://summerschool.lizhaoping.org/points-policies-prizes/> . Experience or knowledge in (A) computational methods, (B) visual psychophysics, and (C) vision neuroscience, is not required. However, experience in at least one of (A), (B), and (C), and a readiness to learn, is expected. The Summer School will be followed by a Systems Vision Science Virtual Symposium on July 31st. All admitted summer school students will be invited to attend this symposium and are encouraged to submit for a presentation at the symposium. The symposium will also feature two invited keynote presentations. A certificate of completion of the summer school course will be provided after the student's successful completion of the summer school. -------------------------------- Important Dates: March 28, 2026 Deadline for applications April 10, 2026 Notification of acceptance April 27, 2026 Registration fees due July 8 - Virtual Systems Vision Science Summer School takes place July 30, 2026 (formal lectures via Zoom and informal and social communications via a Slack channel) July 31, 2026 Virtual Systems Vision Science Symposium takes place (3 -7 pm German time) -------------------------------- Please click here <https://summerschool.lizhaoping.org/application-virtual-svs/> to find more details and to apply by March 28, 2026. Summer School admission will be based on interest/motivation and prior knowledge/experience of the applicants, and on how much the applicants could benefit from participation. Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Vladislav Aksiotis Franziska Lohrmann Max Planck Institute for Biological Cybernetics University of Tuebingen www.summerschool.lizhaoping.org

Dec. 19, 2025