- Comp-neuro - lists.cnsorg.org

PhD position in Neurotechnology in the Reichenbach lab, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Germany
by Reichenbach, Tobias March 20, 2026

March 20, 2026

The Chair for Sensory Neuroengineering at the Department Artificial Intelligence in Biomedical Engineering is looking for a PhD student to work on an innovative project in neurotechnology. Together with partners in the Cluster4Future SEMECO (TU Dresden, MED-EL, Fraunhofer) you will develop a Brain-Computer-Interface (BCI) for the next generation of hearing prosthetics. To this end you will develop AI methods for analyzing brain signals and for steering the processing of acoustic signals. The prototype hearing prosthetic with neurofeedback should be then be able to abadjust to the needs of their users and to adapt in real time. AI at the interface to neurobiology is a highly timely topic of immense societal relevance. We offer you the possibility to actively shape this exciting and rapidly developing field. We support your work through: - A lively scientific environment within the Department and the possibility to cooperate with excellent partners at the TU Dresden, at the Friedrich-Alexander-University Erlangen-Nürnberg as well as with industry partners - An excellent environment to conduct leading science and to realise own scientific ideas - An excellent training in the development of AI methods for neuronal data - Development of your personal strengths, for instance through extensive courses on personal development - 26 days of holiday per year The renumeration is according to Group 13 of the German public service (TV-L). FAU is the most innovative university in Germany and ranks second among the most innovative European universities. It is located in one of the most attractive regions in Germany. Erlangen is a bicycle-friendly city with 100,000 inhabitants, former home of the Huguenots as well as a key location for industry. It is close to Nuremberg, a city with a population of half a million and a metropolitan flair. The mixture of academia, innovative companies, art and culture makes the region the perfect place for creative minds, keen athletes and nature lovers. To apply, please send a letter detailing your motivation, a CV, copies of your degrees and details of two referees. Please combine all documents into a single pdf and send them per email with subject “Application PhD student” to Prof. Dr. Tobias Reichenbach (tobias.j.reichenbach(at)fau.de). Applications will be considered until the 10th of April 2026. The preferred start date of the PhD position is the 1st of October 2026. More information is available here: https://www.neurotech.tf.fau.eu/phd-position-in-sensory-neurotechnology/ ------------------------------------------- Prof. Dr. Tobias Reichenbach Chair of Sensory Neurotechnology Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-University (FAU) Erlangen-Nürnberg Nürnberger Strasse 74 91052 Erlangen https://www.neurotech.tf.fau.eu/

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call for papers: Formal Models and Empirically Informed Simulations of Interpersonal Dynamics
by Peter Dayan March 19, 2026

March 19, 2026

Dear colleagues, We would like to draw your attention to the Call for Papers for the Special Issue "Formal Models and Empirically Informed Simulations of Interpersonal Dynamics" in the journal Zeitschrift für Psychologie (a journal published in English with a German title). The submission deadline for proposals is July 15, 2026, and the submission deadline for full manuscripts is November 15, 2026. Further information can be found at: https://econtent.hogrefe.com/doi/10.1027/2151-2604/a000619 Kind regards, Stefan Westermann and Peter Dayan --- Topic of the Special Issue: Within a dyad of two interacting individuals, each serves as the environment for the other and, in turn, experiences the other as their environment. Capturing the complex interpersonal dynamics that emerge from this interdependence is a major psychological and computational challenge. Interactions become even richer given polyadic relationships and larger groups. Mathematical and computational methods offer powerful tools for uncovering the mechanisms that shape such interact ions. The topical issue "Formal models and empirically informed simulations of interpersonal dynamics" will highlight recent advances in applying such methods to the study of interpersonal processes. We invite contributions from across psychological disciplines - including social, clinical, and personality psychology - that employ frameworks such as agent-based modeling, evolutionary game theory, Bayesian modeling, active inference, and related approaches to provide formal ways of representing, simulating, and analyzing interpersonal phenomena. Both purely theory-driven, formal models and empirically informed simulations are welcome, offering insights into the emergence, maintenance, and change of interpersonal patterns.

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Computational Neuroscience Introductory School (Stream I): Training Instructors Application
by Tolulope Gbayisomore March 19, 2026

March 19, 2026

The African Computational Neuroscience Education Initiative (ACNEI) invites applications for Training Instructors (TIs) for our *Computational Neuroscience Introductory School (Stream I) for young African scholars.* *About the Training Program* Virtual Training: 11th-22nd May 2026 (TIs participate alongside students) Training at specific regional hubs (optional for participants): 23th -27th May 2026 (Hands-on projects with open-access datasets and networking) *Training Instructor Responsibilities* Each Training Instructor will manage 5-10 undergraduate students during the virtual training, guiding them through: - Provided course resources and materials - Practical computational neuroscience exercises - Mentorship and Q&A support *Timeline * *Application Window*: *16th March - 1st April 2026* *How to Apply:* Complete your application at: https://forms.gle/FA6EPPhKsxnfx3m28 before 1st April 2026, 11:59 PM UTC. NB: If you need more information about the program modality, you can register for any of the Q&A sessions (*24th March - 28th March 2026) *before submitting the application. Register here: https://forms.gle/vrqUQD1rg3UeU79a8 For inquiries, contact contact(a)acnei.org or our Science Communications Lead at c.martina(a)acnei.org Regards, Program Development Lead, African Computational Neuroscience Education Initiative (ACNEI <www.acnei.org>)

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2026 NEURON Summer Course
by McDougal, Robert March 19, 2026

March 19, 2026

The 2026 NEURON Summer Course will be held at Duke University in Durham, NC from Wednesday, June 10, through Monday, June 15, 2026. The course will present a thorough introduction to computational modeling of neurons and networks with the NEURON simulator (https://www.neuronsimulator.org) and is suitable for individuals at all levels of expertise. The registration deadline is Monday, June 1, 2026. No applications will be accepted after that date, and there will be no on-site registration. Space is limited, and applications will be considered in the order received. For more information and the on-line registration form, see https://github.com/neuronsimulator/nrn/discussions/3729

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PhD Position on Digital Twins for Brain Health, University of the Balearic Islands (UIB)
by ruben.herzog＠postgrado.uv.cl March 18, 2026

March 18, 2026

PhD Position — Digital Twins for Brain Health Neuroscience PhD Program (Health Sciences), University of the Balearic Islands (UIB), Palma de Mallorca, Spain. https://edoctorat.uib.es/es/doctorat/TNEU/ We offer a fully funded PhD position focused on developing biophysical digital twins using M/EEG and fMRI data for large-scale in silico treatment evaluation in aging, neurodegenerative, and other brain conditions. This is a fully computational PhD involving intensive modelling and data analysis, combining computational neuroscience and precision medicine for in silico treatment discovery. The project uses large international clinical datasets (>6000 participants) and aims to develop model-based markers of treatment susceptibility with a focus in heterogeneous populations. Research will take place at IFISC (UIB–CSIC), a María de Maeztu Unit of Excellence internationally recognized for research in complex systems, dynamical systems, statistical physics, and network science, with applications ranging from neuroscience and biology to social and technological systems. The project will be developed in collaboration with research groups from the Department of Psychology at the University of the Balearic Islands, with access to HPC resources and an international collaboration network including INRIA Sophia-Antipolis, Trinity College Dublin, Imperial College London, BrainLat, Universidad de Buenos Aires, Paris Brain Institute, among others. Profile: quantitative background (physics, math, computer science, data science, neuroscience, quantitative psychology, engineering, biomedicine or related), Python programming, statistics, data analysis, and autonomous working style. Experience in modelling or neuroimaging analysis is valued. Candidates must be admitted to, or eligible for admission to, the Neuroscience PhD Program at UIB. See https://edoctorat.uib.es/es/doctorat/TNEU/desc.html#CriterisAdmissio for more information. Conditions: - Predoctoral contract (UIB) - ~€20,000 gross/year (annual adjustment) - 3 years guaranteed - €1000/year for conferences + €1000/year for research stays - Additional funding opportunities available - Support in grant applications and career development Based in Palma, Mallorca, a Mediterranean island combining a high quality of life, year-round mild climate, and an international environment —an ideal setting to pursue a PhD while enjoying one of Europe’s most livable regions. Mainly onsite work with flexibility. Working languages: English and Spanish. Deadline: mid of April Start: July Applications from all regions are welcome. Apply: send CV and motivation letter by email to ruben.herzog(a)uib.es

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Entropy-Aware Graph Neural,Networks: Theory, Methods,,and Applications - SI in MDPI Entropy
by Friedhelm Schwenker March 17, 2026

March 17, 2026

*Entropy-Aware Graph Neural,Networks: Theory, Methods,,and Applications* - Special Issue in MDPI Entropy For submission information, please visit the SI webpage: https://www.mdpi.com/journal/entropy/special_issues/1028YT5CB9 Submission deadline: June 30, 2026 Guest Editors: Junran Wu, Nan Wang, Friedhelm Schwenker Graph neural networks (GNNs) have emerged as a fundamental framework for learning from graph-structured data, demonstrating remarkable success across domains such as social network analysis, recommender systems, bioinformatics, and financial modeling. Entropy and information-theoretic principles provide a natural lens for analyzing the expressivity, generalization, and robustness of GNNs. From the viewpoint of Fisher information, mutual information, and information bottlenecks, entropy-aware frameworks can help explain and improve the propagation, compression, and preservation of structural information in networks. This Special Issue aims to advance the understanding of entropy-aware graph neural networks by bridging information theory and graph representation learning. We invite original research and review articles that - provide information-theoretic analysis of GNN mechanisms and architectures, - propose new entropy- or information-driven GNN methods, or - explore applications of entropy-aware graph learning in scientific, industrial, and social domains. -- Prof. Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email:friedhelm.schwenker@uni-ulm.de www:https://www.uni-ulm.de/in/neuroinformatik/institut/hidden/f-schwenker/

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Open Brain Institute Webinar | From Ion Channel Mutations to Neuronal Dysfunction
by Mathieu Chambon March 17, 2026

March 17, 2026

From Ion Channel Mutations to Neuronal Dysfunction<https://events.teams.microsoft.com/event/cb12ab0e-3614-4783-b31e-c2a375c77c…> | Webinar Modeling of Disease Mechanisms in the Open Brain Institute Virtual Labs Register ➡️ https://events.teams.microsoft.com/event/cb12ab0e-3614-4783-b31e-c2a375c77c… How do single-gene ion channel mutations lead to neuronal dysfunction and neurological disease? In the first webinar of our new series, we explore how pathogenic variants—such as the R581Q mutation in KCNQ2—can be transformed into predictive, multiscale brain models. 💡 Join us for a live demonstration of our Virtual Labs, where experimental data, biophysical modeling, simulation workflows, and AI-assisted discovery come together to bridge genes, neurons, and networks. 🔍 Stay to the end for a quick Frontiers spotlight on Frontiers in Neuroinformatics and Frontiers in Computational Neuroscience: learn more about journal scope, Chief Editors, and opportunities for open collections and community collaborations. 🌐 About the Open Brain Institute https://www.openbraininstitute.org/ Best regards, ________________ Mathieu Chambon Communications Designer @ Open Brain Institute<https://www.openbraininstitute.org/> +41 21 324 30 30 Avenue du Tribunal-Fédéral 34, 1005 Lausanne, Switzerland

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PhD positions, Excellence Cluster 'The Adaptive Mind' @ Cognitive Science, TU Darmstadt
by Constantin Rothkopf March 16, 2026

March 16, 2026

As part of the DFG Cluster of Excellence "The Adaptive Mind" (TAM), a four-year PhD-student position is available in the lab of Constantin Rothkopf at TU Darmstadt. In TAM (https://theadaptivemind-excellencecluster.de/) the universities of Giessen, Marburg, and Darmstadt, in collaboration with the University of Frankfurt and the Frankfurt Institute for Advanced Studies (FIAS), conduct interdisciplinary research in mind, brain, and behavior. We combine state-of-the-art behavioral and neurophysiological research with approaches from psychiatry and clinical psychology, as well as quantitative analyses and computational modeling using artificial intelligence, machine learning, and robotics. We measure and model the continuous adaptation of natural human behavior in a constantly changing and unpredictable world. Possible research directions include human navigation under uncertainty, active learning and active sensing, sensorimotor control and intuitive physics, and causal reasoning in natural behavior. Our research environment includes large-scale VR and naturalistic experimental setups, infrastructure for tracking eye and body movements, strong collaborations in cognitive science, neuroscience, and AI, and access to excellent computing infrastructure. Our group (https://www.pip.tu-darmstadt.de) is part of the Centre for Cognitive Science and the AI Center at TU Darmstadt, which are home to an internationally outstanding group of PIs and junior researchers working in the areas of computational cognitive science, machine learning, and artificial intelligence. We are part of the two Excellence Clusters, “The Adaptive Mind” and “Reasonable AI”, the Simons Collaboration on Ecological Neuroscience (SCENE), and engage in multiple fruitful research collaborations. Our lab fosters an inclusive, supportive, and collaborative environment driven by scientific curiosity and mutual respect. We maintain close interactions with other research groups, including joint lab meetings. We are looking for candidates with an M.Sc. in cognitive science, machine learning, AI, computer science, neuroscience, psychology, engineering, or related fields, with an interest in combining theory, experiments, and computational models, and strong programming and quantitative skills. For informal inquiries, please reach out to constantin.rothkopf(a)tu-darmstadt.de. Please apply through the central application portal at https://www.career.tu-darmstadt.de/tu-darmstadt/job/54045 The Frankfurt-Darmstadt metropolitan area is located in the heart of Europe and is one of the most international regions in Germany, with a diverse community and rich culture, and has repeatedly earned high rankings in worldwide surveys of quality of life. Frankfurt has recently achieved a top worldwide ranking of attractiveness according to The Economist, and Darmstadt has consistently ranked among the top innovation-driving cities in Germany.

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final call for contributions for the International Conference on Biological Physics (ICBP), Genova June/July 2026
by Daniele Marinazzo March 14, 2026

March 14, 2026

Message posted on behalf of the organizers To the Biological Physics community: a reminder about the International Congress in Biological Physics, to be held in Genova, Italy, 28th June to 3rd July 2026. The abstract submission deadline is close: 25th March. The conference is the triennial global meeting point for the community. Check out the programme with plenary and invited speakers, and the range of session topics here: https://www.icbp2026.org/ The IUPAP medal for the Physics of Life will also be awarded at the meeting. Please spread the word - and act quickly to submit your work. Hoping to see many of you in Genova! Daniele Marinazzo Department of Data Analysis 1 Henri Dunantlaan, B-9000 Ghent, Belgium How to reach my office<https://soleway.ugent.be/routes/1250> https://users.ugent.be/~dmarinaz http://helpdesk.ugent.be/e-maildisclaimer.php My working days and hours may not be yours. Please do not feel obliged to reply outside of your normal working hours.

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BCCN CNS MSc - Application Deadline Extended to 15 April
by Graduate Programs March 13, 2026

March 13, 2026

Dear Computational Neuroscientists, as a result of the updated application procedure, the TU Berlin and BCCN Berlin have decided to extend the application deadline for the Computational Neuroscience master program from March 15th to *April 15th, 2026*. Please refer to the application page <https://www.bccn-berlin.de/master-program-application.html> on our website for further information. Best regards and I hope that everyone has a wonderful weekend, 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 - 14:00

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2 days to submit: 7th International Conference on Mathematics of Neuroscience and AI (Rome, 9-12th June 2026)
by Ruairidh Battleday March 12, 2026

March 12, 2026

2 days to submit: 7th International Conference on Mathematics of Neuroscience and AI (Rome, 9-12th June 2026) -------------------- Two days remaining to submit abstracts for the 7th International Conference on the Mathematics of Neuroscience and AI, to be held in the Villa Wolkonsky, Rome, Italy, 9-12th June 2026: www.neuromonster.org In this high-profile conference we bring together researchers and theorists working on the biological, mathematical, and computational foundations of intelligence across neuroscience, cognitive science, machine learning & artificial intelligence, and related fields. We hear from leading researchers over four days, spanning neural data, neural theory, cognitive science, and machine learning & artificial intelligence (AI). Each day will have keynotes, invited speakers, a poster session, and 5 spotlight talks invited from abstract submissions. *Speakers* Prof. Tatiana Engel (Princeton) Prof. Xiao Jing Wang (NYU) Prof. Marcella Noorman (Chicago) Prof. Marius Pachitariu (Janelia) Prof. Gyorgy Buzsaki (NYU) Prof. Eric Schulz (Helmholtz Munich) Prof. Noah Goodman (Stanford) Dr Sophia Sanborn (Stanford) Dr Joel Lehman (Lila) Dr Blaise Agūera y Arcas (Google) Prof. Irina Rish (Mila & Montreal) Dr Asma Ghandeharioun (DeepMind) Dr Zeb Kurth-Nelson (Independent) Dr Clare Lyle (DeepMind) Dr Felix Sosa (Prior) Dr Christian Shewmake (New Theory AI) Dr Andy Keller (Harvard) Will Dorrell (UCL) Dr Kiah Hardcastle (Harvard; TBC) Jin Hwa Lee (UCL) *Session Chairs* Dr Hannah Haberkern (Wuerzburg; TBC) Dr Kris Jensen (UCL) Jesseba Fernando (Northeastern) Dr Sebastian Musslick (Osnabrück) Prof. Lucy Lai (UCSD) Prof. William Thompson (Berkeley) Dr Chen Sun (DeepMind) Dr Ivana Kajic (DeepMind) *Location* The convention will be held at the Villa Wolkonsky, in San Giovanni, Rome (10 minutes walk from the Colosseum). *Submissions* The submission format is an abstract of 250 words, and we invite submissions for each session via the following Google form: https://forms.gle/dnpQL8HaxiP9snu79 These will be accepted for poster presentation, with the best 5 papers in each session category given an additional spotlight talk. Submission deadline is 14th March AOE. *Early bird tickets* A limited number of early-bird registrations have been posted on our website! Regular registration will follow. Come and join the fun! Dr Ruairidh McLennan Battleday (Thinking About Thinking) Dr James Whittington (Thinking About Thinking & Oxford) Dr Giovanni Pezzulo (National Research Council of Italy) *The Organizing Committee.* -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking

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postdoc opportunity in Cambridge
by Máté Lengyel March 12, 2026

March 12, 2026

Dear All, We are looking for a postdoc to study the neural circuits and computational mechanisms of visual decision-making, learning, and attention, in a collaborative project in the labs of Jasper Poort and Máté Lengyel, based at the Department of Physiology, Development and Neuroscience at the University of Cambridge. The project combines two-photon imaging, electrophysiology and optogenetic manipulation of different cell types and neural projections in visual and decision-making brain areas to understand how mice learn to become experts in different visually-guided decision-making tasks and flexibly switch attention between tasks. We are looking for candidates with advanced data analysis skills and experience with computational modelling, and previous experience in electrophysiology, two-photon imaging, optogenetics, and behaviour in mice. For more information about the labs see https://www.pdn.cam.ac.uk/svl/ and https://lengyellab.org/ . Informal enquiries about the position can be made to Jasper Poort (jp816(a)cam.ac.uk) and for further info about the position see https://www.cam.ac.uk/jobs/research-assistant-associate-in-visual-neuroscie… Both Jasper Poort and Máté Lengyel attending COSYNE 2026 until Sunday, 15 March, so if you are around and interested in the position, we will also be happy to tell you more about our plans for the project in person. Best wishes, Máté Lengyel -- Professor of Computational Neuroscience Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 765 587 email: m.lengyel(a)eng.cam.ac.uk web: lengyellab.org

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Remote Machine Learning Engineer position at Tether Evo on NeuroAI
by Matteo Ferrante March 12, 2026

March 12, 2026

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

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Lisa Oakes speaking on Thursday, April 2 in Developing Minds global online lecture series
by Jochen Triesch March 12, 2026

March 12, 2026

Dear colleagues, On April 2, the Developing Minds global online lecture series is proud to host Lisa Oakes from UC Davis, USA, speaking on „Learning to look and looking to learn: Developmental cascades in infant attention“. Thursday, April 4, 2026: 8:00 am PT (Pacific Time, USA) 15:00 UTC (Universal Coordinated Time) 17:00 CEST (Central European Summer Time) midnight, JST (Japan Standard Time). The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/69277296898?pwd=4bIgEbzC35KVHU6zZV5cLRLnU… Meeting-ID: 692 7729 6898 Kenncode: 281316 Abstract: Infants rely on their visual behavior to learn about the world around them. However, across the first year their visual attention abilities undergo changes, dramatically altering what and how they learn. Adopting a developmental cascade framework, I will describe how infants’ attention changes during the first year, and how those changes are shaped by other developmental changes and how changes in visual attention contribute to development in other domains. Short Bio: Lisa Oakes received her BA in Psychology from UCSD and PhD in Psychology from the University of Texas at Austin. After 15 years as a faculty member at the department of psychology at the University of Iowa, she moved to UC Davis where she is a Distinguished Professor of Psychology and a Faculty Researcher at the Center for Mind and Brain. Dr. Oakes’s work examines cognitive development in infancy, with a particular focus on visual cognitive processes including perception, categorization, and attention. She has written over 100 articles and chapters, edited three volumes, and with David Rakison wrote Developmental cascades: Building the infant mind, which was the 2022 winner of the Eleanor Maccoby Book Award in Developmental Psychology awarded by APA Division 7. She recently wrote a textbook on infant development with Vanessa Lobue and Marianella Casasola entitled Infancy: The development of the whole child. She is the past-president of the International Congress of Infant Studies and currently serves as the editor-in-chief of the journal Infancy. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Recent publications: https://www.nature.com/articles/s41467-025-64234-z https://ieeexplore.ieee.org/abstract/document/11204381?casa_token=RBlsm2RTa…

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Postdoc or PhD opening in the modelling of oscillatory bursts and their information processing impact
by BATTAGLIA Demian March 12, 2026

March 12, 2026

Dear all, We are happy to announce the opening of a two-year postdoctoral position (or three-year PhD position) in the group of Dr. Demian Battaglia within the Functional System Dynamics team at the University of Strasbourg, France ( [ https://funsyteam.org/ | https://funsyteam.org/) ] . The recruited candidate will also work in close collaboration with other experimental colleagues in the FunSy team, such as Dr. Romain Goutagny. The project investigates how complex neural dynamics support information processing in the brain by combining computational analysis of neural recordings with mechanistic modeling of neural circuits. The recruited researcher will primarily develop spiking network models to study how transient oscillatory activity shapes information flow, trajectory selection, and attention-like weighting of sequential inputs in distributed neural systems. In parallel, they will contribute to the analysis of hippocampal electrophysiological recordings collected during behavior, linking neuronal assemblies and oscillatory patterns to behavior and working memory. Depending on interests and progress, the work may also extend to the study of interactions between the hippocampus and its wider brain network using large-scale neural recordings, or to the comparison between control and pathological mouse models. We are seeking candidates with a background in computational neuroscience, computer science, physics, mathematics, or related fields, and a strong motivation to work on digital neurohealth applications. Applicants should have solid programming skills (e.g., Python, C/C++, Matlab), good communication skills in English (oral and written), and the ability to work effectively in an international team. Curiosity and open-mindedness are particularly valued, as our group tends to develop original methods tailored to specific scientific questions rather than simply applying existing ones. DEADLINE FOR APPLICATION: open until the position is filled (ideally by the end of April 2026). Please send your application, including a CV, motivation letter, publications if any (preprints accepted), and the contact details of at least two academic references who can provide recommendation letters. Pre-selected candidates will be interviewed over Zoom. The University of Strasbourg hosts a dynamic and growing neuroscience community spanning research from molecules and cells to whole-brain imaging and behavior, closely connected with clinical research. The city’s location at the crossroads of France, Germany, and Switzerland fosters interactions with leading transnational computational neuroscience centers. Strasbourg, one of the capitals of the European Union, offers a vibrant cultural and student life and is well connected by high-speed train to major European cities (e.g., less than two hours from Paris and Frankfurt). We strongly encourage applications from candidates belonging to groups underrepresented in STEM. CONTACT: Demian Battaglia ( dbattaglia(a)unistra.fr)

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Methods in Computational Neuroscience at MBL in Woods Hole 2026
by Stefano Fusi March 12, 2026

March 12, 2026

The deadline for applying to the Methods in Computational Neuroscience summer course at MBL in Woods Hole is approaching (March 16)! An exciting course with an amazing lineup of lecturers in a beautiful location. The course will run from July 24 to August 21, 2026. The online application form and additional information can be found at: https://www.mbl.edu/education/courses/methods-in-computational-neuroscience/

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PhD opening on hybrid connectome-based / AI simulations of resting state activiy
by BATTAGLIA Demian March 12, 2026

March 12, 2026

Dear all, We are happy to announce the opening of a PhD position in the group of Dr. Demian Battaglia within the Functional System Dynamics team at the University of Strasbourg, France ( [ https://funsyteam.org/ | https://funsyteam.org/ ] ). The recruited graduate student will work in close collaboration with the group of Dr. Laura Harsan and the IMIS team at the University Hospital of Strasbourg, specialized in rodent and human neuroimaging. The project aims to develop new approaches for modeling large-scale brain activity by combining mechanistic connectome-based models with modern machine-learning methods. Mean-field brain models grounded in structural connectivity provide mechanistic interpretability and allow researchers to reverse-engineer the dynamical principles underlying brain activity, but they remain simplified and only partially faithful to empirical data. In contrast, artificial neural networks can achieve high predictive accuracy when modeling neural time series, yet they are often difficult to interpret mechanistically. The project will explore the concept of a “hybrid twin,” a modeling framework that couples mechanistic brain models with data-driven neural networks to jointly achieve interpretability and empirical fidelity. These methods will be applied to the analysis of rodent and human fMRI data across multiple pathological conditions, including Alzheimer’s disease, Down syndrome, and alcohol use disorder. We are seeking candidates with a background in computational neuroscience, computer science, physics, mathematics, or related fields, and a strong motivation to work on digital neurohealth applications. Applicants should have solid programming skills (e.g., Python, C/C++, Matlab), good communication skills in English (oral and written), and the ability to work effectively in an international team. Curiosity and open-mindedness are particularly valued, as our group tends to develop original methods tailored to specific scientific questions rather than simply applying existing ones. DEADLINE FOR APPLICATION: March 22, 2026 Please send your application, including a CV, motivation letter, publications if any (preprints accepted), and the contact details of at least two academic references who can provide recommendation letters. Pre-selected candidates will be interviewed over Zoom. Shortlisted candidates will then be invited to a formal oral interview before a local committee for final qualification and selection. The University of Strasbourg hosts a dynamic and growing neuroscience community spanning research from molecules and cells to whole-brain imaging and behavior, closely connected with clinical research. The city’s location at the crossroads of France, Germany, and Switzerland fosters interactions with leading transnational computational neuroscience centers. Strasbourg, one of the capitals of the European Union, offers a vibrant cultural and student life and is well connected by high-speed train to major European cities (e.g., less than two hours from Paris and Frankfurt). We strongly encourage applications from candidates belonging to groups underrepresented in STEM. CONTACT: Demian Battaglia ( dbattaglia(a)unistra.fr) Laura Harsan ( harsan(a)unistra.fr)

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Deadline approaching: Transatlantic Behavioural Neuroscience School, Aug 11-22nd
by Mateusz Kostecki March 11, 2026

March 11, 2026

Hello! We would like to remind you that the deadline for registration to our Transatlantic Behavioural Neuroscience School is *this Sunday, March 15th!* The school is aimed at teaching young researchers everything they need to design and build their own behavioural setups, conduct complex experiments and analyze their data using open software and hardware. Our school is divided in five blocks: - *3D printing*, where you will have an opportunity to learn the theory necessary to take full advantage of this technique and how to use Autodesk Fusion software to design elements of your behavioural setup - *Electronics and Arduino*, that is intended to provide the skills necessary to understand the design of devices used in behavioural research; it will also teach how to build and program such devices - among others, optogenetics laser controllers, automated doors, stimulus delivery systems and devices used for synchronizing data streams - *Bonsai* module that aims at teaching you how to use Bonsai to track your animals, conduct closed-loop experiments with Arduino and analyze your data - *Deeplabcut* *and machine learning*, where you will gain an in-depth understanding of the DL tools used in behavioural science and learn how to apply them to extract interesting information from your data - *Project* is the module where you will apply all the knowledge gained during the course to build a 3D-printed setup for studying phototactic behaviour in Drosophila, conduct experiments and analyze the data School will be also composed of a series of lectures by researchers studying animal behaviour on different model systems and with different approaches. PhD students and early-stage researchers are especially encouraged to apply. *We provide partial or full travel grants and fee waivers for participants who cannot cover the costs. *This year,*thanks to collaboration with FENS*, European students will be also able to obtain travel grants and fee waivers. Please find more info here - https://nenckiopenlab.org/tbnss2026/. Best, Mateusz Kostecki -- --- Mateusz Kostecki Postdoc Jekely Lab Heidelberg University https://twitter.com/mtkostecki https://evolvingbehavior.blog/

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Call - Senior or mid-career researchers in AI, data science and computational sciences - Paris Brain Institute – France
by SITT Jacobo Diego March 11, 2026

March 11, 2026

-------------------------------------- Apologies for cross-postings -------------------------------------- The Paris Brain Institute (https://parisbraininstitute.org/) invites expressions of interest from internationally recognized senior and mid-career researchers in the fields of AI, data science and computational sciences to address key challenges in brain health and neuroscience. This expression of interest is part of a strategic effort to anticipate future recruitment opportunities and shape a future recruitment call. The Institute is currently exploring the launch of a formal recruitment call in Fall 2026, with potential appointments starting in Fall 2027. The potential offer could typically comprise a “Director of Research” position at CNRS, subject to institutional approval and competitive recruitment procedures, together with a competitive salary complement, and an attractive start-up package to enable the development of a new research team. We welcome expressions of interest from researchers working in areas including, but not limited to: * AI and data science for omics data * AI for drug discovery and repositioning * Computational modelling and AI for cognitive science * Computational modelling and AI for neurophysiology * Computational and data-driven neuroscience * Data science approaches for epidemiology * Integration of multimodal data * “NeuroAI” research at the interface of AI and neuroscience * Validation and benchmarking of AI systems For more details, please refer to the call content and application platform: https://institut-du-cerveau.wiin.io/en/applications/call-for-senior-or-mid-… The application is a lightweight process: please submit a full academic CV and a 1-page letter describing your interest in joining the Paris Brain Institute and your overall research vision through the platform. All submissions will be treated confidentially. Application deadline: Expressions of interest should be submitted no later than June 15th, 2026, 23h59 CET. Earlier submissions are highly encouraged as reviewing will be performed on a rolling basis. ----------------------------------- Also opened for applications: call for junior group leaders! As part of his strategic development in AI, data science and computational science, the Paris Brain Institute has opened a call for Junior group leaders. This junior call corresponds to a formal recruitment procedure. The Junior Group Leader will be recruited for five years, as a principal investigator, with a competitive salary. They will be awarded an attractive start-up package for kick-starting their group. For more details, please refer to the call content and application platform: https://institut-du-cerveau.wiin.io/en/applications/call-for-juniorgrouplea… Application deadline for Junior Group Leaders: April 26th, 2026, 23h59 CET. -- Jacobo Diego Sitt, MD, PhD, HDR INSERM DR1 Researcher Paris Brain Institute Paris, France

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bioAI PhD student position at Cold Spring Harbor Laboratory, NY USA
by Benjamin Cowley March 11, 2026

March 11, 2026

The Cowley group is recruiting a bioAI PhD student to start Fall 2026 at Cold Spring Harbor Laboratory in NY, USA (about an hour from NYC). This is a brand new PhD program track for students already with Master's degrees in a quantitative field (CS/engineering/physics, etc.) to build and apply computational approaches in cutting edge biological experiments. https://www.cshl.edu/phd-program/bioai-phd-program/ The Cowley group builds data-driven AI models to predict neural responses and behavior. We focus on closed-loop, active learning experiments that combine data collection and model training. https://cowleygroup.cshl.edu/ If interested, please directly contact Ben Cowley (cowley [at] cshl.edu) Ben will be at Cosyne 2026 and happy to chat.

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Konstanz School of Collective Behavior 2026 ( Deadline extended to March 25th, 2026)
by Ahmed El Hady March 11, 2026

March 11, 2026

*Konstanz School of Collective Behaviour 2026* *Konstanz, Germany * *20th July 2026 – 7th August 2026 *** *Deadline to apply: March 25th, 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 25, 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

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Cosyne Workshop: 100 years of spikes – but why?
by Tobias Kühn March 10, 2026

March 10, 2026

Dear participants of the Cosyne conference, we are excited to announce our workshop on March 17 in Cascais, celebrating the 100th anniversary of Lord Adrian's publication of the first clear evidence of what is now known as action potential in the nervous system. While there is no doubt that they exist, their role in metabolism, representation of information and computation is still unclear. What is their unique functional role? Under what conditions is a discrete presentation of information optimal? Are spikes even advantageous for the design of artificial neural networks? Or are they rather evolutionary quick fixes? With electrophysiological and morphological data of unprecedented quality we are now in the position to newly address these decades-old questions. We invite you to discuss them with our speakers, who will touch upon them from perspectives ranging from biology to neuromorphic computing. Find the schedule and abstracts on the workshop homepage <https://physiologie.unibe.ch/research/research_groups/theoretical_neuroscie…>. See you in Cascais! Best wishes, Jean-Pascal and Tobias

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Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15
by Rubchinsky, Leonid L March 10, 2026

March 10, 2026

Dear Colleagues, We would like to remind that the late-breaking poster abstracts submission at CNS*2023 ends on June 15. CNS*2023, 32nd Annual Computational Neuroscience Meeting, will be in Leipzig, Germany, on July 15-19, 2023. The information about the meeting and abstract submission can be found here: Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

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Special edition Valentin Braitenberg Award | Call for Nominations
by Bernstein Network March 10, 2026

March 10, 2026

Dear colleagues, The *Bernstein Network Computational Neuroscience invites nominations for the* *Valentin Braitenberg Award for Computational Neuroscience 2026.* The Valentin Braitenberg Award honors outstanding scientific achievements in the field of computational neuroscience. Following Braitenberg's scientific tradition, special attention is paid to theoretical studies that reveal the functional significance of brain structures and their neuronal network dynamics. In 2026, Valentin Braitenberg would have celebrated his 100th birthday. To commemorate this special occasion, the Bernstein Network will present the next Valentin Braitenberg Award during the Bernstein Conference 2026. The awardee will receive €5.000 prize money, donated by the Autonome Provinz Bozen Südtirol, as well as an invitation to the Bernstein Conference (including registration fee and travel and accommodation expenses). The award will be presented together with a Golden Neuron pin in a special award ceremony, followed by a lecture by the Braitenberg Awardee. Nominations may be submitted by scientists working in the field of computational neuroscience and should include the following documents: -One-page laudation, in which the scientific work of the candidate is honored with regard to the award criteria -CV and list of publications *Deadline for nominations is April 30, 2026. Please send the nomination documents via email to Dr. Alexandra Stein at**a.stein(a)fz-juelich.de* <mailto:a.stein@fz-juelich.de>*.* Please note that self-nominations are not permitted. For more information about the Valentin Braitenberg Award, please visit: https://bernstein-network.de/en/network/awards-and-initiatives/valentin-bra… <http://www.nncn.de/en/bernstein-conference/2018/braitenberg_award> Best regards, Alexandra Stein

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Bocconi University Multiple Open-Rank Cluster Hiring
by Nicolas Brunel March 10, 2026

March 10, 2026

Bocconi University in Milan (Italy) is excited to announce the creation of a *new Department of Cognitive Science* and invites applications for *multiple positions* at all academic ranks *across all major areas of the field*. The Department will unite scholars in cognitive psychology, cognitive neuroscience, computational psychology and artificial intelligence, social psychology, and behavioral economics to advance an integrated science of the human mind. A central ambition is to foster collaboration across methodological traditions and to leverage Bocconi’s strength in economics, computational and social sciences to address questions at the intersection of cognition, markets, institutions, and public policy. *Research Environment* The Department will comprise approximately 25 faculty members conducting frontier research and teaching at undergraduate and graduate levels. The department will be equipped with the *Bocconi Cognition Lab. *In this interdisciplinary laboratory, researchers will explore the cognitive mechanisms that underlie decision making by using cutting edge techniques for behavioral measurements, non-invasive brain stimulation and activity recording, and computational modeling. *Application and Recruitment* The Department will comprise approximately 25 faculty members conducting frontier research and teaching at undergraduate and graduate levels. The department will be equipped with the *Bocconi Cognition Lab. *In this interdisciplinary laboratory, researchers will explore the cognitive mechanisms that underlie decision making by using cutting edge techniques for behavioral measurements, non-invasive brain stimulation and activity recording, and computational modeling. We welcome applications from candidates at all levels with expertise in any area of cognitive science, including, but not limited to: * Perception and attention * Memory systems * Reasoning and decision-making * Cognitive Neuroscience * Computational modeling of cognitive processes and Artificial Intelligence * Social Cognition * Behavioral Economics Candidates must send their *full CV, plus a motivation letter* containing information about the work they are currently carrying out, future plans and your motivation for coming to Bocconi to cognitivescience(a)unibocconi.it For further information please visit: https://www.unibocconi.it/en/faculty-and-research/faculty/faculty-recruitin… *Applications will open in March 2026, with screening on a rolling basis starting from April 2026.* Bocconi offers competitive European compensation and substantial research support. International hires may qualify for Italy’s Brain Drain (Rientro dei Cervelli) tax incentive, providing significant tax advantages for researchers relocating from abroad. For inquiries contact faculty(a)unibocconi.it. /Bocconi University is committed to increasing the diversity of its faculty. Applications are particularly welcome from women and members of other groups who are under-represented in academic posts. / /Bocconi University also values diversity and pluralism and is committed to equal employment and educational opportunities without regard to age, race, color, national origin, ethnicity, religion, gender, sex, marital status, parental status, status as an individual with disabilities. Applicants should feel free to communicate to the recruitment committee circumstances that have had an impact on their career path, or their publication trajectory, such as parental leave, caring responsibilities and impact of the Covid-19 lockdowns./

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