- Comp-neuro - lists.cnsorg.org

Special Issue on Information Storage, Compression and Prediction in Deep Neural Networks
by Nicola Catenacci Jan. 20, 2026

Jan. 20, 2026

Dear colleagues, We invite you to submit to the special issue on "Mathematical Understanding of Information Storage, Compression and Prediction in Neural Networks" (more details can be found here: https://www.frontiersin.org/research-topics/59300) *- The journal(s) -* The special issue is hosted by (alternatively): - Frontiers in Computational Neuroscience (Impact Factor - 2.3, CiteScore - 5.0), or - Frontiers in Neuroinformatics (Impact Factor - 2.5, CiteScore - 5.5). *- Research Topic -* Regardless of their success, today, deep neural networks (NNs) are still used as a "black box", meaning the inner workings or detailed explanations of how they arrive at their output are not revealed. Currently, we still do not have the mathematical tools to fully understand the formal properties of these networks and their limitations. Improving our theoretical understanding of NNs is particularly important today, as these tools are being deployed in an increasing number of safety-critical scenarios, necessitating constant scrutiny of their behavior. The goal of the special issue is to investigate the mathematical frameworks that enable a better understanding of how information is learned and represented within a neuralnetwork, including the study of existing approaches that go in this direction. *- Call for Papers -* We invite researchers to present manuscripts focusing on the mathematical analysis of deep neural networks, including their information-theoretic interpretation and their statistical limits. The areas relevant to this special issue include, but are not limited to: - Theory of Deep Feed-forward and Recurrent NNs - Information-theoretic principles and interpretation of NNs - The Information Bottleneck and deep learning - Compression in Deep Neural Networks - The analysis of pattern and memory storage in NNs - Deep NNs for brain-inspired machine learning and biological modeling - Statistical Physics of deep neural networks - Dynamical Systems Modeling of NNs - Neural Network Dynamics and Stability - Generalization and Regularization in NNs - Learning Theory and Neural Networks - Mathematical Models of Learning and Plasticity - Neural Network Interpretability and Explainability - Energy-Based Models in Deep Learning - Neural Network Compression, Pruning, Sparsity and Efficient Computing - Mathematics of Self-Supervised Deep Learning - Optimization Landscapes and Loss Surface Analysis - Neural Network Generalization and Overparameterization - Mathematical Theories of Transformers and Attention Mechanisms - Theoretical Foundations of Transfer Learning and Domain Adaptation Manuscript Submission Deadline: 15 March 2026. *- Topic Editors -* Giorgio Gosti, Italian National Research Council (CNR), Italy ( giorgio.gosti(a)cnr.it) Nicola Catenacci Volpi, University of Hertfordshire, United Kingdom ( n.catenacci-volpi(a)herts.ac.uk) Nilesh Goel, Birla Institute of Technology and Science, United Arab Emirates *-----------------------------------* Dr. Nicola Catenacci Volpi, PhD Research Fellow in Information Theory for AI & Robotics Adaptive Systems Research Group The University of Hertfordshire Department of Computer Science College Lane Hatfield, Hertfordshire AL10 9AB United Kingdom E-mail: n.catenacci-volpi(a)herts.ac.uk

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PhD opportunities in computational & theoretical neuroscience at Bocconi (deadline 5 Feb 2026)
by Alessandro Sanzeni Jan. 20, 2026

Jan. 20, 2026

Hi all, A quick reminder that applications are open for the PhD in Statistics and Computer Science at Bocconi University (Milan, Italy). The program is fully funded (4 years) and offers an interdisciplinary environment connecting statistics, computer science, and data-driven modeling. In our group/area, research in neuroscience combines theoretical modeling (physics- and ML-inspired) with the analysis of experimental data to study how the brain processes information, learns, and remembers. Ongoing projects include visual processing and learning mechanisms, in collaboration with experimental groups worldwide. Program details and application instructions: * Department of Computing Sciences<https://cs.unibocconi.eu/> * PhD program page<https://www.unibocconi.it/en/programs/phd/phd-statistics-and-computer-scien…> Application deadline: 5 February 2026. If you know strong candidates, I’d be grateful if you could forward this note. And please feel free to reach out for informal inquiries. Best, Alessandro Sanzeni Assistant Professor Department of Computing Sciences Bocconi University, Milan, Italy

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EMBO Workshop on Dendrites and beyond: properties, function and contributions to network processing
by marouso_velissariou＠imbb.forth.gr Jan. 20, 2026

Jan. 20, 2026

DENDRITES 2026 EMBO Workshop on Dendrites and beyond: properties, function and contributions to network processing 19-22 May 2026, Heraklion, Crete, Greece https://meetings.embo.org/event/26-dendrites Dear Colleagues, We are pleased to announce the solicitation of abstracts for short oral or poster presentations at the EMBO Workshop on DENDRITES 2026, which will take place in Heraklion, Crete, on 19-22 May 2026. This is the 6th in a very successful series of meetings on the island of Crete dedicated to dendrites. The meeting will bring together scientific leaders from around the globe to present their theoretical and experimental work on dendrites. The meeting program is designed to facilitate discussions of new ideas and discoveries in a relaxed atmosphere that emphasizes interaction. Please register and submit your abstract online at: https://meetings.embo.org/event/26-dendrites No payment is required for abstract submission. Submissions of abstracts are due by February 1st, 2026 Notifications will be provided by February 28th, 2026 Registration payment due by March 15th, 2026 Potential attendees are strongly encouraged to submit an abstract as presenters will have registration priority. For more information about the conference, please refer to our web site or send email to embo2026(a)artion.com.gr We look forward to seeing you in person at DENDRITES 2026! The organizers, Panayiota Poirazi, Lucy Palmer, Mark Harnett -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

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[Newsletter RTAIM] 24th RTAIM Online Seminar | Call Abstract: 6th International Conference on Philosophy of Mind | 04-08 May 2025, Uni. Porto
by steven gouveia Jan. 20, 2026

Jan. 20, 2026

Dear All, You are welcome to attend the 24th rTAIM Online Seminar, with the participation of MAIRA DE CINQUE (University of Canada West, Canada), 21 January 2026, 5:00pm - 6:30pm (Lisbon Time) via Microsoft Teams with the title “Linguistic Self-Correction in the Age of AI". Link available: https://ifilosofia.up.pt/activities/seminar-24-rtaim Or: * Link: https://teams.microsoft.com/meet/3421342035921?p=KnbYrpwPDoDET8dCM6 * ID: 3421342035921 * Password: yS3BU9rq Moreover, the Call for Abstract for the 6th International Conference on Philosophy of Mind: Artificial Intelligence (6ICPH) 4-8 May 2026 (4-5 May, Online | 6-8 May, in-person), Faculty of Arts and Humanities, University of Porto (Portugal) is now open until the 29 March 2026. Keynotes are (confirmed): * Anil Seth (Uni. Sussex) * Diana I. Pérez (Uni Buenos Aires) * Paul Thagard (Uni. Waterloo) * Gloria Andrada (CSIC, Madrid) * Miguel Pais-Vieira (Uni. Aveiro) * Ângela Leite (Catholic Uni. Portugal) * Marina Trakas (CONICET | Uni. Lisbon) Full information here: https://ifilosofia.up.pt/activities/6-international-conference-philosophy-m… New book out: “Ethics in Artificial Intelligence: A Multidisciplinary Approach”, Ethics Press. Info: https://ethicspress.com/products/ethics-in-artificial-intelligence. Sincerely yours, RTAIM Team

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CAJAL Course on Quantitative Approaches to Behavior and Virtual Reality 2026
by Daniel McNamee Jan. 19, 2026

Jan. 19, 2026

*CAJAL Advanced Neuroscience Training Course: Quantitative Approaches to Behavior and Virtual Reality 2026*. This intensive course is a unique opportunity for early-career researchers interested in this field. Hosted at the *Champalimaud Centre for the Unknown*, this three-week course focuses on acquiring, analyzing, and modeling *behavioral data* and integrating it with neurobiological information, using *translational methodologies* that can be applied across species—from simple model organisms to humans—to broaden experimental and research capabilities. *Location:* Champalimaud Centre for the Unknown, Lisbon, Portugal *Dates:* 7 - 26 June 2026 *Application Deadline:* 13 February 2026 *Apply now:* https://cajal-training.org/on-site/quantitative-approaches-to-behavior-and-… <https://cajal-training.org/on-site/quantitative-approaches-to-behaviour-and…> *Course Directors* - *Ann Kennedy* – Scripps Research, USA - *Daniel McNamee* – Champalimaud Centre for the Unknown, Portugal - *Giorgio Gilestro* – Imperial College London, UK *Course Themes & Topics* This course will focus on the following key frontier areas: - Behavioral data acquisition and analysis; - Modeling behavioral dynamics; - Integration with neurobiological data; - Experimental design and independent projects; - Translational and cross-species approaches. *Keynote Speakers Include:* - Andre Brown (Imperial College London, UK) - Ahmed El Hady (Max Planck Institute, Germany) - Andrew Straw (University of Freiburg, Germany) - Barbara Webb (University of Edinburgh, UK) - Ben De Bivort (Harvard University, USA) - Carlos Ribeiro (Champalimaud Centre for the Unknown, Portugal) - Gordon Berman (Emory College, USA) - Greg J. Stephens (OIST Graduate University, Japan) - Ian Couzin (Max Planck Institute of Animal Behavior, Germany) - Joshua Shaevitz (Princeton University, USA) - Kim Hoke (Colorado State University, USA) - Kristin Branson (HHMI Janelia Research Campus, USA) - Nachum Ulanovsky (Weizmann Institute of Science, Israel) - R. James Cotton (Northwestern University, USA) - Sama Ahmed, University of Washington, USA - Talmo Pereira (The Salk Institute for Biological Studies, USA)

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Registration Open: Braitenberg 100: Computational Neuroscience - Past, Present, and Future, June 29-July 1, 2026 in Tuebingen, Germany
by Pavlovic, Maria Jan. 19, 2026

Jan. 19, 2026

Dear colleagues, We are delighted to announce that registration is open for a landmark symposium on the occasion of Valentino Braitenberg's 100th birthday in our campus's <https://www.mph.tuebingen.mpg.de/en> Max Planck House, Tübingen, Germany, June 29-July 1st, 2026: <http://www.braitenberg100-theoretical-neuroscience.de/> Braitenberg 100: Computational Neuroscience - Past, Present, and Future The symposium will gather many of the world’s leading experts to celebrate past achievements, showcase current breakthroughs, and brainstorm the future of computational neuroscience. There will be keynote speeches, poster sessions, and various program events to facilitate intellectual exchanges and interactions. -------------------------------- Keynote Speakers Include: Neil Burgess • Patrick Cavanagh • Kathleen Cullen • Peter Dayan • Kenji Doya • Ivan De Araujo • Wulfram Gerstner • Michael Hasselmo • Sabine Kastner • Read Montague • Reza Shadmehr • Naoshige Uchida • Li Zhaoping -------------------------------- To facilitate interactions and discussions, we have a limited capacity of 130 seats. >> Register now at https://app2.edoobox.com/en/MPI/Braitenberg100 <https://urldefense.com/v3/__https:/app2.edoobox.com/en/MPI/Braitenberg100__…> << We look forward to welcoming you to Tübingen for Braitenberg 100—an inspiring celebration of computational neuroscience’s past, present, and future. Warm regards, The Organizing Committee, Max Planck Institute for Biological Cybernetics -------------------------------- Please direct inquiries to <mailto:braitenberg100@tue.mpg.de%0b> braitenberg100(a)tue.mpg.de <http://www.braitenberg100-theoretical-neuroscience.de/> http://www.braitenberg100-theoretical-neuroscience.de/ --------------------------------

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Fwd: [seminar.wwtns] World wide VVTNS series (6th season): Wednesday, January 21, 2026, at 11:00 am ET - Adrien Peyrache, Mc Gill
by David Hansel Jan. 18, 2026

Jan. 18, 2026

[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 lecture Adrien Peyrache Mc Gill on the topic of *Building and Using a Cognitive Map* The lecture will be held on zoom on January 21, 2026, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *The hippocampus is thought to build a cognitive map that supports navigation, memory, and planning, but what defines such a map and how it is used remain debated. In this talk, I will present computational models in which hippocampal-like representations emerge in recurrent neural networks trained to predict sequences of sensory observations. While spatially tuned units reliably arise, they are not sufficient to form a cognitive map. Instead, map-like representations emerge when recurrent dynamics support multi-step prediction, yielding a population-level encoding of environmental geometry. Once learned, these representations can autonomously generate offline trajectories biased by recent experience, capturing key features of hippocampal replay. I will then show how these representations guide behavior in navigation tasks. In a hippocampal–striatal model facing visual ambiguity, access to hippocampal activity enables rapid learning and flexible adaptation. Place-like coding supports self-localization, while population-level hippocampal states can be used to derive intrinsic learning signals that estimate progress toward a remembered goal, improving performance beyond full sensory observability. Together, these results suggest that cognitive maps arise from predictive recurrent dynamics and support behavior through both localization and internally generated learning signals. *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

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New Frontiers in Associative Memory workshop at ICLR 2026
by krotov.a.dmitry＠gmail.com Jan. 18, 2026

Jan. 18, 2026

Dear Friends and Colleagues, ICLR 2026 will host an official workshop on New Frontiers in Associative Memory. Please consider sharing this information with your students and colleagues and submitting your best work related to Associative Memory by February 14, 2026. Workshop website: https://nfam2026.amemory.net. Submissions are open via Open Review: https://openreview.net/group?id=ICLR.cc/2026/Workshop/NFAM. Join us in Rio de Janeiro! Best wishes, Dmitry Krotov

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AIces 2026
by David Silva - IRDTA Jan. 17, 2026

Jan. 17, 2026

AIces 2026 – International School on the Cognitive, Ethical & Societal Dimensions of AI 📍 Porto–Maia, Portugal | 🗓 March 30 – April 2, 2026 | 🌍 On-site & fully online AIces 2026 is a global, interdisciplinary research training school addressing AI cognition, ethics, and societal impact. The program features 10 advanced courses, 2 keynote lectures, and participant symposia, delivered by leading scholars and industry researchers from institutions such as CMU, Johns Hopkins, NVIDIA Research, KTH, Delft, and more. Topics include: Trustworthy & responsible AI Cognitive architectures and neuroscience-inspired AI Large language models and symbolic processing Algorithmic fairness, governance, and social justice AI, human values, democracy, and the future of work Who should attend: graduate students, researchers, and practitioners from AI, cognitive science, philosophy, ethics, social sciences, and policy. ✔ Full online participation available ✔ Lectures recorded (45-day access) ✔ Certificate of participation 🔗 Website & registration: https://aices.irdta.eu/2026/ ⏳ Early registration deadline: February 3, 2026

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Open PhD Position at the Institute of Machine Learning and Neural Computation, TU Graz
by Ozan Özdenizci Jan. 17, 2026

Jan. 17, 2026

Dear all, We have an open PhD position in our research group at the Institute of Machine Learning and Neural Computation, Graz University of Technology, Austria. We are offering a 3-year doctoral researcher position focused on reliable and resource-efficient deep learning techniques, with an emphasis on spike-based neural computation in modern learning systems. The doctoral research will address both fundamental and applied algorithmic questions in learning methods and neural architectures. The starting date for the position is April 2026. More information on the position and how to apply: https://www.tugraz.at/institute/iml/institute/open-positions#c725665 Best regards,  Ozan Özdenizci -- Dr. Ozan Özdenizci Assistant Professor Institute of Machine Learning and Neural Computation Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria

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MODVIS 2026 - Registration and Submission Deadline
by Tim Oleskiw Jan. 16, 2026

Jan. 16, 2026

MODVIS 2026: Computational and Mathematical Models in Vision, a satellite workshop to the 2026 Vision Sciences Society Annual Meeting, will be held during May 13-14 in St. Pete Beach, FL, immediately preceding the conference. Registration is now available through the VSS website:www.visionsciences.org/modvis/ <http://www.visionsciences.org/modvis/> There are three tiers of registration fees for trainees, academic members, and industry professionals: Early (Dec 19 - Feb 27): $80/$160/$200 Standard (Feb 28 - Apr 23): $100/$200/$250 Late (Apr 24 - May 14): $125/$250/$300 MODVIS is currently accepting submissions for oral presentations now through February 16th. Post-deadline submissions may be considered on a space-available basis. The program consists of contributed oral presentations, which are longer and more interactive than a regular VSS talk, and the schedule is designed to provide many opportunities for discussions during coffee breaks and a generous lunch break. The workshop will conclude on Thursday with a keynote lecture by Jonathan Victor (Weill Cornell Medical College). Please seewww.modvis.org <http://www.modvis.org> for further details. On behalf of the MODVIS organizing committee, Tim Oleskiw Assistant Professor University of Regina oleskiw(a)uregina.ca

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Call for applications: Gatsby Bridging Programme (maths summer school)
by Lin, I-Chun Jan. 16, 2026

Jan. 16, 2026

22 June - 7 August 2026 (London, UK; in-person attendance only) www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gatsby-bridging-programme The Gatsby Computational Neuroscience Unit at UCL is running an intensive, 7-week mathematics summer school "Gatsby Bridging Programme". The programme is designed for penultimate-/final-year undergraduates and Master’s students (incl. recent graduates) who wish to pursue a postgraduate research degree in theoretical neuroscience or foundational machine learning but whose degree course lacks a strong mathematical focus. Participants will attend interactive lectures and actively participate in problem-solving sessions and tutorials to develop a solid grounding in mathematics skills and intuition necessary to enter these fields. We aim to be inclusive and to increase the diversity of students entering both fields. We strongly encourage applications from students in underrepresented groups in Science, Engineering, Technology and Mathematics. A small number of bursaries are available to students who may find it difficult to participate for financial reasons. Applications open on 19 January and close on 16 February 2026 - we may need to stop accepting applications earlier if the number received exceeds our capacity to review. We are hosting an information webinar on Friday 23 January 2026 (10-11AM GMT), featuring programme instructors who will provide an overview of the programme and answer your questions live. You will learn what the programme is about, who the programme is for, what the programme does not cover, how a participant should prepare before the programme starts, etc. This webinar is the perfect opportunity to hear directly from the instructors, ask questions, and gain a deeper understanding of whether the programme is for you and how it may enrich your academic journey. Register for the webinar at https://ucl.zoom.us/webinar/register/WN_sx5dZdsNRLmys04d4SjXCA#/registration Please help us reach students who may benefit from this programme. Here are some ways in which you can help spread the word: * Distribute this email among colleagues and relevant students. * Share our posts on social media: - Bluesky: https://bsky.app/profile/gatsbyucl.bsky.social/post/3mchsokhfkk2x - Mastodon: https://neuromatch.social/@GatsbyUCL/115899632244604421 Thank you. Best, I-Chun (Scientific Programme Manager, Gatsby Unit)

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Second Call for Papers: RaPID-6@MENTAL.ai@LREC 2026: Palma de Mallorca, Spain
by Dim X Jan. 14, 2026

Jan. 14, 2026

****************************************** *Second Call for Papers:* The 6th workshop on: "*Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from * * people with various forms of cognitive/psychiatric/developmental impairments*"* in collaboration with the **MENTAL.ai -consortium* *Workshop*: co-located with LREC 2026 | Palma de Mallorca, Spain | *May 12th*, 2026 RaPID-6(a)MENTAL.ai serves as an interdisciplinary platform for researchers to exchange insights, methods, and experiences related to collecting and processing data from individuals with mental, cognitive, neuropsychiatric, or neurodegenerative impairments. The workshop focuses on creating, processing, and applying such data resources from individuals at different stages and severity levels of these impairments. The ultimate goal of RaPID-6(a)MENTAL.ai is to facilitate the study of relationships among linguistic, paralinguistic, and extra-linguistic observations, with applications ranging from aiding diagnosis to enhancing monitoring and predicting individuals at higher risk, ultimately promoting multidisciplinary collaboration across clinical, language technology, computational linguistics, and computer science communities. *Submission deadline*:* Sun., 22nd of February, *2026 (anywhere on earth) *Paper submission*: https://softconf.com/lrec2026/RaPID-6/user/ *Invited speakers*: *Brian MacWhinney*, Carnegie Mellon University, USA and *Sunny X. Tang*, MD, Feinstein Institutes for Medical Research, Northwell Health, USA *Website and details*: https://spraakbanken.gu.se/rapid-2026 *Contact*: Dimitrios Kokkinakis *Contact email*: dimitrios.kokkinakis(a)gu.se *Organizing committee*: - Dimitrios Kokkinakis, University of Gothenburg, Sweden - Charalambos Themistocleous, University of Oslo, Norway - Gaël Dias, University of Caen Normandie, France - Kathleen C. Fraser, University of Ottawa, Canada - Fredrik Öhman, University of Gothenburg and Sahlgrenska University Hospital, Sweden - Sebastião Pais, University of Beira Interior, Portugal ******************************************

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AREADNE 2026 Abstract Submission Open
by John Pezaris Jan. 13, 2026

Jan. 13, 2026

AREADNE 2026 Research in Encoding and Decoding of Neural Ensembles Eliopoulos Conference Center, Milos, Greece 23-27 June 2026 Celebrating 20 Years of AREADNE Conferences http://areadne.org info(a)areadne.org **** SECOND CALL FOR ABSTRACTS **** Abstract submissions for poster presentation at AREADNE 2026 are now open. AREADNE 2026 will bring world-wide scientific leaders to present theoretical and experimental results on the functioning of neuronal ensembles. This, our eleventh meeting, will be held at the Eliopoulos Conference Center in Milos, Greece, and will create an informal and beautiful setting for discussion of cutting-edge ideas and discoveries in an intensive but relaxed forum that emphasizes interaction. For submission details, see http://areadne.org/call-for-abstracts Abstracts for poster presentations are due by 30 January 2026; notifications will be provided by 3 March 2026. We strongly encourage potential attendees to submit an abstract as presenters have registration priority. For information about the conference, please refer to the main web page http://areadne.org or send email to us at info(a)areadne.org. We hope to see you in Milos! --- Nicholas Hatsopoulos John Pezaris AREADNE 2026 Co-Chairs

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[seminar.wwtns] Three NEW recordings on the VVTNS YouTube channel
by David Hansel Jan. 13, 2026

Jan. 13, 2026

[image: VVTNS.png] > > <https://84454458.streak-link.com/Cu0_UBdOjjGclXV0Egvy9LEt/https%3A%2F%2Fwww…> > https://www.wwtns.online > <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> > - on twitter: wwtns@TheoreticalWide - on Youtube > New on the VVTNS YouTube Channel https://www.wwtns.online/past-seminars-2025-2026 *Building on cortical models* Lecture delivered on December 10, 2025 by Markus Diesmann Jülich Research Centre ----------------------------------------------------------- *Learning mechanistic models that link cells, circuits, and computations * Lecture delivered on December 17, 2025 by Jakob Macke Tubingen University ----------------------------------------------------------- *Towards using large-scale, cross-brain neuronal recordings* *to identify the brain’s internal signals* VVTNS 2026 Opening Lecture delivered on January 7, 2026 by Carlos Brody Princeton Neuroscience Institute *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

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2 PhD positions available on Whole-Brain Neural Mass Modeling and Parameter Estimation
by xkobeleva＠gmail.com Jan. 13, 2026

Jan. 13, 2026

Dear subscribers, I'm happy to announce 2 PhD positions in our Computational Neurology lab located at the Institute for Neural Computation https://www.ini.rub.de/ and Bernstein Node Bochum at Ruhr University, Bochum, Germany. Our group works at the interface of clinical neuroscience (neurostimulation and neurodegenerative diseases) and computational neuroscience (whole-brain network neural mass modeling, parameter inference, control theory), with a strong focus on translational research that connects computational methods to real-world clinical data and patient-oriented questions. Our team is young, motivated, international, and genuinely interdisciplinary, bringing together expertise from medicine, neuroscience, psychology, and quantitative sciences. We invite applications for two PhD projects on network neural mass modeling and parameter inference in neurodegenerative diseases (e.g., Alzheimer's Disease) and in healthy participants. Details can be found here: https://www.ini.rub.de/the_institute/jobs/2_phd_positions_fmd_in_computation al_neurology/, and if you have questions regarding the positions, please reach out to me: https://computationalneurology.com Feel free to forward to anyone who might be interested. Best regards Prof. Dr. Xenia Kobeleva

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[PhD positions] Ten fully funded Positions on "Curiosity" in Göttingen
by Priesemann, Viola Jan. 13, 2026

Jan. 13, 2026

Are you interested in the neurosciences of curiosity? In Göttingen, we established a Graduate Research and Training School on “Curiosity”, and we are hiring again about 10 PhD students, starting summer 2026. The topics range from computational neuroscience to psychology and AI. The outlines of the project are relatively short, because we do have considerable freedom to shape the together with the PhD student. If you are interested in joining a vibrant and closely interacting PhD research community in Göttingen, feel welcome to apply! https://www.uni-goettingen.de/en/681638.html _____________________ 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<mailto:viola.priesemann@ds.mpg.de> https://priesemann-group.github.io<https://priesemann-group.github.io/>

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Multiple Research Positions Open in Computational Neuroscience at IBS, South Korea
by Sungho Hong Jan. 13, 2026

Jan. 13, 2026

Dear Colleagues, Our research group at the Center for Memory and Glioscience, Institute for Basic Science (IBS), South Korea, is seeking highly motivated scientists for open positions at multiple levels, including Postdocs, Senior Researchers, and Research Assistants. Our group studies the biophysical basis of neural information processing through computational modeling, with particular emphasis on developing neuroscience-inspired machine learning/AI (neuroAI) models to analyze and model neuroscience data. We are big fans of physiological mechanisms and investigate how they collectively define the functions of neural systems underlying intelligent behavior. For more information, please see our home page: https://neuroai-ibs.github.io. We closely collaborate with experimental labs both within our Center and abroad, providing rich opportunities for integrative research. We are also located next door to top-notch experimental laboratories in our Center and have various opportunities for scientific exchange with other members of a vibrant neuroscience community in South Korea. We are stably supported internally by IBS, a South Korean government initiative for excellence in basic science research. Successful candidates will hold a PhD (for Postdocs and Senior Researchers) or a Bachelor's degree (for Research Assistants) in neuroscience or related quantitative fields (Physics, Mathematics, Computer Science, etc.), with strong interest in understanding neural systems through computational approaches. We are committed to welcoming applicants of all ethnicities, genders, sexual orientations, religions, etc., as well as diverse scientific backgrounds. For further inquiries, please feel free to contact me (sunghohong(a)ibs.re.kr) Including your CV and a brief statement of research interests would be helpful. We would appreciate it if you would be willing to share this post with colleagues who may be interested. Best, Sungho — Sungho Hong Center for Memory and Glioscience Institute for Basic Science 55 Expo-ro, Yuseong-gu Daejeon 34126 South Korea

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Post-Doc/Engineer position. Pediatric epilepsies caused by genetic mutations
by fabrice.wendling＠inserm.fr Jan. 12, 2026

Jan. 12, 2026

Dear colleagues Please find below an offer for a Post-Doc/Engineer position in our laboratory, starting winter 2026. The candidate will work on a national multidisciplinary project named Innov4epik. This is a hospital-university research project (RHU) involving 10 centers in France (more information: https://epilepsies-innov4epik.com/project/) It focuses on pediatric epilepsies caused by genetic mutations inducing alterations in transmembrane ion channels. Please feel free to circulate this offer to anyone who might be interested in a topic combining electrophysiological signal (LFPs, EEG) processing and computational modeling. Thank you in advance. Warmest regards and best wishes for this new year 2026. Fw --- Fabrice WENDLING DR Inserm LTSI, UMR1099 – Inserm - Université de Rennes Co-dir Cinetyks Team Campus de Beaulieu - 35042 Rennes Cedex - France - Tel: +33 2 23 23 56 05 / 62 20 - +33 6 58 25 75 30 Email: fabrice.wendling(a)inserm.fr https://fabricewendling.github.io/ https://www.galvani-lab.eu/ --------- Post-doc or Research Engineer position offer (ref: RHU2024-Rennes) Epilepsies caused by genetic mutations: signal processing and computational modeling Context. Developmental and epileptic encephalopathies (DEEs) are a group of severe rare diseases where the combined effect of seizures, most often drug resistant, and the non-seizures consequences of the disease etiology, often genetic, entail a debilitating encephalopathy with drastic effects on the neurodevelopmental, psychiatric, and motor abilities of the patients. DEEs due to potassium channel mutations (K-DEEs) are emblematic of this disease presentation. Rationale. The mechanisms underlying the relationship between i) the molecular effect of a gene mutation (KCNB1, KCNA2) on specific voltage gated potassium channel function, and ii) the patient-specific phenotypes observed in scalp-recorded EEG signals remain elusive. Computational models inspired from neuronal physiology is now recognized as an efficient way to bridge the gap between i) changes occurring at the level of neurons and neuronal circuits and ii) electroencephalographic (EEG) signals recorded in patients containing markers of the underlying pathology. Objective. The objective of the proposed research position is to design novel neuro-inspired models taking into account the molecular effect of a gene mutation on the specific voltage-gated potassium (K) channel function and on the specific phenotypes observed both in patients (scalp-recorded EEG signals) and genetically-modified mice (local field potentials) in which downregulation or upregulation of K channels is induced. Methods. Both microscopic models (cellular level) based on Hodgkin and Huxley's (HH) formalism and macroscopic models (whole brain based on interconnected Neural Mass Models -NMMs-) will be used. The microscopic model will describe both passive (membrane capacitance, axial resistivity, leakage conductance, and membrane time constant) and active (voltage-gated and ligand-gated ion channels) membrane properties. The channel pathogenic variants of KCNB1 (loss of function) and KCNA2 (gain of function) mutations identified in 2 other work packages (1 & 2) will be inserted in the membrane in order to study the impact of the channel mutation on the firing rate curves of neuron subtypes, specifically pyramidal neurons (PYR), somatostatin (SST), parvalbumin (PV), and vasoactive intestinal polypeptide (VIP) positive interneurons. Optimization methods will be developed for identifying optimal parameters minimizing the distance between real and simulated electrophysiological signals (LFPs). Results from the detailed model will be transferred to the NMM parameters of our whole-brain model, eCoalia, to simulate patient-specific scalp EEG features. Both models will be developed in Python. Strong background is available (PMID: 33617692, PMID: 40161993, PMID: 38520800). Scientific domains. Engineering (computational, biomedical); EEG; Signal Processing; Neurophysiology; Neuroscience; Neurology; Computer Science (implementation of Python routines into an existing software application named Neocomm(detailed) and eCOALIA(whole-brain)). Scientific environment. This research will benefit from an outstanding clinical research environment, centered around the largest curated K-DEE cohorts, coordinated by the Necker reference center for rare epilepsies (Prof. Rima Nabbout), and assembling an extensive group of experts from various specializations, including clinical, electrophysiological, psychological, computational, translational research, biotechnology and pharma industry. Candidate profile. The research project is at the interface between biomathematics (neuro-inspired models) and neuroscience/neurology (epilepsy). The Post-doc/Engineer fellow (PhD level) will preferably have a strong background in computational neuroscience/systems biology or in electrical engineering with experience in bio-signal processing. Knowledge in electrophysiology and/or EEG analysis would be an asset. Contract The position will be opened February 1st, 2026 (flexible). The contract is for 2 years (flexible). The employer is the University of Rennes. The competitive salary will be according to experience (2350 Euros net, minimum). The candidate will also have access to the French system benefits. Location in the city of Rennes, France. LTSI-Inserm laboratory, University of Rennes. In addition, the hired person will have the opportunity to actively collaborate with other groups involved in the innov4epik RHU project (2024-2029), funded by the French National Research Agency (ANR). Contact (please provide resume, cover letter and email of 2 references) Pascal Benquet (Prof Univ Rennes, LTSI, France) Email: pascal.benquet(a)univ-rennes.fr Fabrice Wendling (DR Inserm, LTSI, France) Email: fabrice.wendling(a)inserm.fr

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9th Advanced Course on Data Science & Machine Learning - ACDL 2026 - From AI Agents to Agentic AI | June 8-12 | Riva del Sole Resort & SPA - Italy -> ⏰ Early Registration: by 23 February
by ICAS Organizing Committee Jan. 12, 2026

Jan. 12, 2026

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks * ACDL 2026, A Residential Course: From AI Agents to Agentic AI, June 8-12, Tuscany ⏰ Early Registration: by 23 February 📚 ACDL 2026 is a full-immersion 5-day course in Riva del Sole Resort & SPA - Tuscany on cutting-edge advances in AI, Deep Learning, LLMs, Data Sc., Generative AI, AI Agents & Agentic AI with lectures delivered by world-renowned experts. If you want to learn AI, Generative AI & AI Agents LLMs, Agentic AI, Multimodal Foundation Models, and much more then take part in ACDL 2026! ;-) Riva del Sole Resort & SPA - Tuscany, Italy, June 8-12, 2026 🔗 https://acdl2026.icas.events 📧 acdl(a)icas.cc ⏰ EARLY REGISTRATION: by February 23 (AoE) 🔗 https://acdl2026.icas.events/registration/ Oral Presentation Submission Deadline: by February 23 (AoE) 📝 LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. 🔗 https://acdl2026.icas.events/lecturers/ It follows the (partial list) of the confirmed ACDL 2026 Lecturers: Arthur Gretton, UCL, UK Katja Hofmann, Microsoft, UK Arnulf Jentzen, University of Münster, Germany Pushmeet Kohli, Google DeepMind, UK David van Dijk, Yale University, USA Jason Weston, META, USA More Lecturers TBA 📑 LECTURES: TBA 🔗 https://acdl2026.icas.events/lectures/ 📚 PAST LECTURERS: 🔗 https://acdl2026.icas.events/past-lecturers/ ✅ VENUE: 🔗 https://acdl2026.icas.events/venue/ Riva del Sole Resort & SPA Località Riva del Sole‚ Castiglione della Pescaia (Grosseto) CAP 58043‚ Tuscany‚ Italy p: +39-0564-928111 📧 booking.events(a)rivadelsole.it 🔗 https://www.rivadelsole.it/en/ PAST EDITIONS: 🔗 https://acdl2026.icas.events/past-editions/ 📚 CERTIFICATE & 8 ECTS: The 9th Advanced Course on Data Science & Machine Learning – ACDL 2026 is a full-immersion five-day Course at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in Deep Learning, Data Science and Generative AI with lectures delivered by world-renowned experts. The Course provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment. PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the ACDL attendants.The Course will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student – BSc Student) attending the Course. Language: English. To participate in the ACDL 2026, all attendants must (1/2) register for the course (by February 23, 2026) and (2/2) book accommodation at the course venue, “Riva del Sole Resort & SPA” (by April 23, 2026); all attendants must stay at the “Riva del Sole Resort & SPA”. Booking accommodation at the Riva del Sole must be made exclusively using the accommodation form attached to the registration confirmation email. No other methods must be used (if you use other booking methods the hotel will cancel the reservation). Finally, it is not possible to extend the stay, the special accommodation rates are valid only for the period of the course, no exceptions will be made. To contact the Riva del Sole Resort & SPA (the course venue) use the following email: booking.events(a)rivadelsole.it Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the ACDL organizing committee (acdl(a)icas.cc) ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel can not match people. If you have someone to share the apartment with (or a double room in Hotel), please send to the Hotel ( 📧 booking.events(a)rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book a hotel room in single use. Please note that only ACDL registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the ACDL Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking. Anyone interested in participating in ACDL 2026 should register as soon as possible. See you in Riva del Sole in June! ACDL 2026 Directors. ACDL 2026 Scientific & Organizing Committees. 🔗 https://acdl2026.icas.events 📧 acdl(a)icas.cc Obviously this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: 🔗 https://acdl2026.icas.events * Apologies for multiple copies. Please forward to anybody who might be interested, thanks *

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World wide VVTNS series (6th season): Wednesday, January 14, 2026, at 11:00 am ET - David Clark Kempner Institute at Harvard University
by David Hansel Jan. 12, 2026

Jan. 12, 2026

[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 lecture David Clark Kempner Institute at Harvard University on the topic of *Computation Through Neuronal-Synaptic Dynamics* The lecture will be held on zoom on January 14, 2026, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Computations in neural circuits are often construed as being implemented through the coordinated dynamics of neurons. In this picture, the role of synaptic connectivity is to sculpt neuronal dynamics to implement computations of interest. Of course, synapses are not static but change on a variety of timescales, including fast timescales comparable to those of neurons. Thus, a more accurate view of computation in neural circuits may involve the coupled dynamics of neurons and synapses. This form of computation is closer to what is implemented by Transformers via an equivalence between ongoing synaptic plasticity and self-attention. I will first describe a nonlinear recurrent neural-network model with ongoing Hebbian dynamics of “fast” synapses atop unstructured “slow” synapses. I will then describe two computations implemented through neuronal-synaptic dynamics, which can be studied in this model using techniques including dynamical mean-field theory and random-matrix theory. First, there exists a novel phase termed “freezable chaos” in which a stable fixed point of neuronal dynamics is continuously destabilized by synaptic dynamics. This allows for the creation of a stable fixed point at any neuronal state visited by the network by halting synaptic plasticity. Second, I will describe an effect termed “persistent oscillations” in which, following stimulation by a periodic signal, a plastic network continues to autonomously reproduce a similar signal for a duration exceeding any intrinsic timescale in the system. Thus, ongoing Hebbian plasticity can provide a dynamic form of working memory, complementing the static form provided by freezable chaos. Ongoing experimental work suggests that this effect is realized in cortical organoids. Overall, this line of work suggests that synapses should be promoted to first-class dynamical degrees of freedom in our conceptual understanding of neural-circuit function. *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 -- *Il n'y a ni obligation ni pression à traiter ou répondre à ce mail en dehors des heures de travail* "В каждой шутке есть доля шутки" 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 *CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction.* ᐧ

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Fully-funded PhD in computational neuroscience, Sheffield, UK
by Hazem Toutounji Jan. 11, 2026

Jan. 11, 2026

Dear all, A fully-funded PhD position in computational neuroscience is available with Dr Hazem Toutounji (University of Sheffield, UK). *Project title: *Flexible or Flawed? A Computational Neuroscience Approach to Learning Strategies and Psychiatric Traits In our complex and ever-changing world, humans are constantly faced with a flood of sensory information. To make effective and timely decisions, the brain cannot possibly process every single detail. Instead, it is thought to rely on intelligent "cognitive shortcuts" or simple strategies (heuristics) to simplify complex problems. This allows for rapid and flexible learning, but the mechanisms behind this process are not well understood. When are these shortcuts deployed? How does the brain select the right strategy for the task at hand? How does it know when a shortcut is no longer working and a new strategy is needed? And how are the selection and efficiency of those shortcuts influenced by common psychiatric traits such as anxiety and impulsivity? This 3.5-year fully-funded PhD studentship provides an exciting opportunity to work at the intersection of computational modelling, cognitive neuroscience, and computational psychiatry. The successful candidate will receive comprehensive training in all required methods. *Position available for UK students only* *Application deadline: *February 4th 2026 *PhD start date: *October 1st 2026 Further information on the project, requirements, and how to apply can be found here: http://www.findaphd.com/?pj=190228 *Please note: *Interested candidates are strongly encouraged to contact me ( h.toutounji(a)sheffield.ac.uk) to discuss your interest in and suitability for the project prior to submitting your application. Best wishes, Hazem -- *Dr. rer. nat. Hazem Toutounji (they / them) *[pronounced ḤAH-zem TUTUN-ji <https://namedrop.io/hazemtoutounji>] *PI of the Neural Dynamics and Computation Lab* Lecturer in Computational Neuroscience MSc Exams Officer, ECR Champion, Sustainability Lead School of Psychology The Neuroscience Institute Insigneo Institute for in silico Medicine University of Sheffield ICOSS Building, 4th floor, desk 5 219 Portobello, Broomhall Sheffield S1 4DP, UK *Please don't feel obliged to respond to my emails outside your own working hours* If you are a student looking for support, please see this page <https://www.sheffield.ac.uk/study/support>. *Office hours during semester weeks:* Monday 14:00-15:00 -- Please book an appointment with a brief description of the topic using this link <https://calendar.app.google/1ayXM9DqBhAkLBCp6>. Face to face meetings are at *ICOSS E04a*. To meet outside of office hours, please email me 24 working hours in advance.

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PhD positions in theoretical neuroscience, dynamical systems, and machine learning at UIUC
by Engelken, Rainer Jan. 10, 2026

Jan. 10, 2026

Dear colleagues, I recently started a new lab in the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign, working at the intersection of theoretical neuroscience, dynamical systems theory, and machine learning. I am recruiting one to three fully funded PhD students for Fall 2026, with admission through ECE (Electric and Computer Engineering). Our research uses dynamical systems theory to understand the mechanisms and principles of learning and dynamics in neural circuits, bridging biological and artificial systems. We combine mathematical analysis with large-scale simulations to connect neuroscience, physics, and ML. PhD project directions include: 1. Learning dynamics and mechanistic interpretability. Understanding how brains and neural networks learn over time: how synapses change, how activity patterns evolve, and how useful internal representations emerge, with an eye toward opening the black box of both biological and artificial systems (see references [1–2]). 2. Neural dynamics, chaos, and computation. Exploring how network structure and inputs shape complex activity patterns, including chaotic regimes, and how these patterns can be harnessed for computation in both brain-inspired and artificial networks (see references [3–4]). 3. Training algorithms for spiking networks. Developing new ways to train spiking neural networks so that they are both efficient and easy to optimize, building on ideas like Gradient Flossing and fast event-based simulation methods such as SparseProp (see references [5–6]). I welcome applicants from quantitative backgrounds like physics, mathematics, computer science, or engineering, who want to apply quantitative skills to neuroscience questions. Comfort with mathematics and programming is required; you should enjoy thinking with equations and code. I value reliable, self-driven students who enjoy taking projects from idea to finished work. The lab aims for a supportive, collaborative environment that is intellectually intense and kind. We believe great science comes from working together, and we support diversity in backgrounds and ideas while prioritizing well-being and deep curiosity about neural computation. Positions are fully funded with access to exceptional computing resources through the National Center for Supercomputing Applications (NCSA). The lab is part of UIUC's Neuroinformatics cluster with ties to the Beckman Institute and Coordinated Science Laboratory. Co-advising with experimental groups is possible. For Fall 2026 entry: • ECE PhD application deadline: January 15, 2026. In your application, clearly indicate Prof. Rainer Engelken in the "faculty of interest" field and in your Statement of Purpose. Before or after applying, you are welcome to email me with a CV, transcript, and a short note about your background and interests if you think this opening is a good fit. Learn more: https://rainerengelken.github.io/ or https://ece.illinois.edu/about/directory/faculty/engelken If you have strong candidates, please forward this email. Students can also reach out to me directly at engelken(a)illinois.edu Best regards, Rainer Engelken Assistant Professor The Grainger College of Engineering Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign P.S. Students reading this directly: feel free to email me with questions. I'm especially interested in candidates with strong math/physics training looking to work on neural dynamics and learning. References [1] Engelken, R., Ingrosso, A., Khajeh, R., Goedeke, S., & Abbott, L. F. (2022). Input correlations impede suppression of chaos and learning in balanced firing-rate networks. PLOS Computational Biology, 18(12), e1010590. [2] Engelken, R., & Goedeke, S. (2022). A time-resolved theory of information encoding in recurrent neural networks. Advances in Neural Information Processing Systems, 35, 35490-35503. [3] Engelken, R., Wolf, F., & Abbott, L. F. (2023). Lyapunov spectra of chaotic recurrent neural networks. Physical Review Research, 5(4), 043044. [4] Engelken, R., Monteforte, M., & Wolf, F. (2024). Sparse chaos in cortical circuits. arXiv preprint arXiv:2412.21188. [5] Engelken, R. (2023). Gradient flossing: Improving gradient descent through dynamic control of jacobians. Advances in Neural Information Processing Systems, 36, 10412-10439. [6] Engelken, R. (2023). Sparseprop: Efficient event-based simulation and training of sparse recurrent spiking neural networks. Advances in Neural Information Processing Systems, 36, 3638-3657.

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Call for Outstanding Postdoctoral Candidates – NGILab, Krembil Brain Institute (Toronto)
by De Pitta, Maurizio Jan. 10, 2026

Jan. 10, 2026

Dear colleagues, Please feel free to disseminate and share this announcement widely. I am seeking outstanding postdoctoral candidates to join the Neuron–Glia Interactions Laboratory (NGILab) at the Krembil Brain Institute, University Health Network (Toronto, ON, Canada). Successful candidates will be supported through one of two competitive, independent 2-year postdoctoral funding programs: > Canada Leads at University Health Network (for Canadian candidates): https://uhncanadaleads.ca/ > Canada+ Impact Research Training Awards (for international candidates): https://sshrc-crsh.canada.ca/en/funding/opportunities/canada-impact-plus-re… ***Project overview*** NGILab specializes in developing multiscale models of neuron–glial circuits, with a strong emphasis on emergent dynamics across spatial and temporal scales. Within this framework, we are building digital cell twins and virtual replicas of neuron–glial circuits to dissect pathogenic mechanisms spanning neurodegeneration to cancer. The postdoctoral fellow will lead the design, development, and implementation of digital cell twins that integrate large-scale reactomics data with anatomical and structural information. The successful candidate will work closely with NGILab members and with collaborators in Canada, the United States, and Italy. ***Position details*** > Both funding streams support a 2-year postdoctoral appointment > Salary range: CA$65,000–70,000 per year + ~16% fringe benefits > Relocation support provided, if applicable > On-site position (in-person only) > Start date: Flexible, between March 2026 and April 2027 ***Candidate profile*** Applicants should demonstrate: > Strong expertise in multiscale and/or multiphysics modeling, with applications to neuroscience and cell biology > High proficiency in object-oriented programming (Python, C, and/or C++) > Experience with particle-based simulators and/or the design, training, and implementation of foundational AI models > Excellent written and spoken English > A proven publication record as first or co-first author > Demonstrated leadership skills, including coordination and supervision of small teams (2–3 members), regular communication of progress with the PI and collaborators, and engagement in career planning discussions > A strong commitment to professional ethics, transparent communication, realistic planning of deliverables, and timely adherence to deadlines ***Application process*** Following internal evaluation, selected candidates will be invited to apply to the appropriate funding stream. The application deadlines for these programs fall approximately two weeks after preselection (see below). The selected candidate and I will work very closely throughout the proposal preparation process, with intensive feedback and support during drafting. > Canada Leads: Proposal length ~3–5 pages (including biosketch) > Canada+ Impact Research Training: Proposal length ~10 pages (excluding biosketch) ***How to apply*** Please submit a single PDF to maurizio.depitta(a)uhn.ca with the subject line: [Stream Name] FirstName LastName (where Stream Name is either "Canada Leads" or "Canada+IRT") The PDF should include: > Cover letter > Biosketch > CV (including a complete list of publications and oral presentations) > One representative publication Deadlines Applications will be reviewed on a rolling basis. Competitive applicants will be invited for an interview. > Canada Leads: Open until the position is filled. > Canada+ Impact Research Training: >> Preselection deadline: January 26, 2026. >> Full application deadline: March 4, 2026. Sincerely, Maurizio De Pittà ----- Maurizio DE PITTA Principal Investigator Neuron-Glia Interactions Lab (NGILab) Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. Opinions, conclusions or other information contained in this e-mail may not be that of the organization. If you feel you have received an email from UHN of a commercial nature and would like to be removed from the sender's mailing list please do one of the following: (1) Follow any unsubscribe process the sender has included in their email (2) Where no unsubscribe process has been included, reply to the sender and type "unsubscribe" in the subject line. If you require additional information please go to our UHN Newsletters and Mailing Lists page. Please note that we are unable to automatically unsubscribe individuals from all UHN mailing lists. Patient Consent for Email: UHN patients may provide their consent to communicate with UHN about their care using email. All electronic communication carries some risk. Please visit the UHN website and search “Using email to Communicate with Your UHN Health Care Team” to learn about the risks of electronic communication and how to protect your privacy. You may withdraw your consent to receive emails from UHN at any time. Please contact your care provider, if you do not wish to receive emails from UHN.

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IMPORTANT Update: Open PhD Position(s) in Perception / EEG – Application Instructions
by David Pascucci Jan. 8, 2026

Jan. 8, 2026

Dear all, Apologies for multiple postings, but this is an important update regarding the PhD position(s) described below and in my previous email. *APPLICATIONS MUST NOW BE SUBMITTED VIA:* https://recrutement.chuv.ch/vacancy/phd-position-in-the-psychophysics-and-n… --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- *Open PhD Position(s) in Perception/EEG – Joint Opportunity* *Locations:* Lausanne (University of Lausanne / CHUV) and Paris (ENS/CNRS) *Start Date:* Early 2026 (with some flexibility) The *Psychophysics and Neural Dynamics Lab* <https://www.chuv.ch/fr/rad/rad-home/recherche/groupes-de-recherche/psychoph…> (David Pascucci, University of Lausanne and Lausanne University Hospital, CHUV) and the *Laboratoire des Systèmes Perceptifs* <https://lsp.dec.ens.fr/en/member/647/pascal-mamassian> (Pascal Mamassian, ENS/CNRS) invite applications for a fully funded PhD position (3 years + 1) supported by the *ANR-SNSF Weave project*. Project title *Perceptual FLUCTUATions* Project summary Our 4-year project addresses a central question: *Why do individuals differ in how their perceptual judgments are shaped by temporal context?* We will address this through an integrated behavioural, computational, and neurophysiological approach, focusing on the interaction between endogenous perceptual traits and external factors. The work involves *visual psychophysics, EEG, and computational modeling*. The successful candidate will be primarily based in *Lausanne*, with research visits to *ENS/CNRS*, allowing engagement with two complementary research environments. Candidate profile Applicants should hold a *Master’s degree* in Neuroscience, Psychology, Biology, Engineering, Computer Science, Mathematics, or a related field. Experience in *visual psychophysics and/or EEG* is strongly valued. Preferred skills · Psychophysics software (e.g., PsychoPy, Psychtoolbox) · Programming (e.g., Python, MATLAB, C/C++) · EEG and/or signal processing, computational modeling · Statistical analysis (e.g., in R) · Dedication to data collection in task batteries We seek *dedicated, enthusiastic candidates* with strong motivation to contribute to interdisciplinary research. We welcome applications from candidates of *all backgrounds and genders*. Application material Please follow the instructions provided here: https://recrutement.chuv.ch/vacancy/phd-position-in-the-psychophysics-and-n… We value application materials that reflect your own words and *authentic, human-written motivation*. Applications are considered *on a rolling basis* until the position is filled. *Early applications are encouraged to accommodate the planned start in early 2026.* *Please note:* We are also planning to recruit *postdoctoral researchers* in the near future, so stay tuned! We look forward to hearing from you!

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