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Posdoctoral Position on Neuro-AI, Computational Neuroscience (CN) at the Marie Curie Chair in CN
by Carmen Paz Suárez Araujo Aug. 2, 2026

Aug. 2, 2026

Dear Colleagues, I’m writing you to share an opportunity of a postdoctoral position. The Marie Curie Chair in Computational Neuroscience at the Institute of Cybernetics, Enterprise and Society (Universidad de Las Palmas de Gran Canaria) is inviting applications for a postdoctoral position. This is a 14 month non-tenure-track position. Duties will involve research and supervision activities in the following areas: 1) neuro-AI; 2) determination of new functional biomarkers for Alzheimer's disease (AD) and other cortical dementias; and 3) intelligent decision systems for the diagnosis and prognosis of AD. The Marie Curie Chair is seeking outstanding candidates who have received a PhD in Computer Engineering, Electronic and Telecommunications Engineering, Biomedical Engineering, Bioengineering, Physics, or a related discipline. The probable start date will be September 2026 Candidates will be graded on their merits up to a maximum of 10 points (professional experience, very good scientific merits, good knowledge on the position topics and language proficiency, essentially English). Certificates to justify these merits are mandatory. A job interview will be held with the three candidates who are ranked highest. To apply, please visit https://fpctserver.upe.ulpgc.es/convocatorias/inscripcion.php?idrec=606 Best Regards Prof. Dr. Carmen Paz Suárez-Araujo Head of the Marie Curie Chair in Computational Neuroscience Universidad de Las Palmas de Gran Canaria, Spain CARMEN PAZ SUAREZ ARAUJO Catedrática de Universidad (Full Professor) Departamento de Informática y Sistemas, IUCES Universidad de Las Palmas de Gran Canaria tel. +34629822298 carmenpaz.suarez(a)ulpgc.es www.ulpgc.es ORCID 0000-0002-8826-0899 EDIFICIO DE INFORMÁTICA, OFFICE 2-5 CAMPUS UNIVERSITARIO DE TAFIRA S/N 35017, LAS PALMAS DE GC [Universidad de Las Palmas de Gran Canaria]

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PhD opportunity in Computational Neuroscience at Jülich Research Center for US candidates
by Sacha van Albada July 30, 2026

July 30, 2026

Dear all, We have a available a PhD opportunity in Computational Neuroscience at the Jülich Research Center, Germany, for candidates from the USA contingent on a successful grant application. In the context of an existing CRCNS (Collaborative Research in Computational Neuroscience) project between the Allen Institute (PI: Stefan Mihalas) and the Jülich Research Center (PIs: Markus Diesmann and Sacha van Albada), the German ministry BMFTR offers candidates from the USA an opportunity for a ‘Hop-On Fellowship’ to do a PhD at the Jülich Research Center. This entails a grant proposal written by the German partner along with resumes and letters of intent from candidates who have studied or done research in the USA at least for the past three years. The CRCNS project concerns the development of multi-area models of the mouse thalamocortical visual system, bringing together biological fidelity and visual function. To this end, the rich anatomical and physiological datasets from the Allen Institute are combined with expertise on modeling large-scale spiking neural network models from the Jülich partner, and functional properties are incorporated using advanced methods for training neural networks. The closely related PhD project (contingent upon the awarding of the Hop-On Fellowship) will take a top-down approach to enhance the biological realism of a functional model of the mouse visual cortex and gain insight into relationships between cortical structure, dynamics, and function. The candidate would be embedded in the Institute for Advanced Simulation (IAS-6, Computational and Systems Neuroscience, https://www.fz-juelich.de/en/ias/ias-6) at the Jülich Research Center and would have the opportunity to work together with the PIs and postdocs in the USA and Germany. The fellowship covers not only the salary of the PhD candidate but also travel costs to and from Germany. During the PhD, it is possible to work from the USA for up to five months in total (max. two months a year). A contribution to childcare costs in Germany of up to 150 euro a month is also available. To apply, please send your CV, copies of your Bachelor’s and Master’s transcripts, and a short motivation letter to Prof. Sacha van Albada, s.van.albada(a)fz-juelich.de<mailto:s.van.albada@fz-juelich.de> by August 10th, 2026. -- Prof. Sacha Jennifer van Albada Institute for Advanced Simulation (IAS-6) Computational and Systems Neuroscience Jülich Research Centre Jülich, Germany Computational Neuroanatomy Institute of Zoology University of Cologne Cologne, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Dr. Stephanie Bauer (stellv. Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Call for Papers: Dendritic Influence on Neuronal Input-Output Transformation Dynamics
by Craig Kelley July 27, 2026

July 27, 2026

We are currently seeking submissions for a *Frontiers in Cellular Neuroscience Research Topic *titled *Dendritic Influence on Neuronal Input-Output Transformation Dynamics*. 1. Manuscript submission deadline is *30 December 2026*. 2. The goal of this Research Topic is to delve deeper into the complex dynamics of neurons, specifically focusing on the properties and functions of dendrites. The aim is to understand how the morphology and biophysical properties of dendrites influence the transformation of synaptic input into action potential output. This includes investigating the impact of dendritic location, timing, strength, and presynaptic origin on this transformation, as well as the role of different input populations in driving observed action potentials. The research also aims to explore how variability in synaptic input and biophysical and morphological properties affects neuronal responses, and how these factors contribute to the overall function and performance of the neural network. To gather further insights into the complex dynamics of neurons and the role of dendrites, we welcome articles addressing, but not limited to, the following themes: • The impact of dendritic location, timing, strength, and presynaptic origin on the transformation of synaptic input into action potential output. • The role of different input populations in driving observed action potentials. • The influence of synaptic input from various sources on neuronal responses. • The effect of variability in synaptic input and biophysical and morphological properties on neuronal responses. • The contribution of these factors to the overall function and performance of the neural network. • The development and application of computational models to study these dynamics and properties. • Linking dendritic dynamics to behavior. • The role of energetics/metabolism in regulating/constraining dendritic function. For more information, please visit https://www.frontiersin.org/research-topics/80722/dendritic-influence-on-ne… .

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Postdoc opportunity at Northwestern University Medical School campus in Chicago USA
by Christina Zelano July 26, 2026

July 26, 2026

Northwestern University’s Human Olfaction Lab is seeking a postdoctoral scholar to join their research team. The lab studies systems neuroscience, including the human olfactory system, cognition and respiration. The lab uses a wide range of human neuroscience methods, including functional neuroimaging, diffusion tensor imaging, intracranial EEG, electrical stimulation, and a new intranasal recording method that we recently developed that allows for high-precision electrophysiological recordings from the human olfactory bulb in healthy volunteers, and fast-scan-cyclic voltammetry based electrochemistry recordings from the olfactory epithelium. The lab is conducting experiments in healthy normosmic individuals, and also in disease populations including Anosmia, Alzheimer's, Parkinson’s and epilepsy. We are seeking an outstanding and highly motivated postdoc for this position. Principal Accountabilities 1. To conduct and analyze data from experiments on olfaction, respiration, cognition and or disease. 2. To develop new ideas, research methodologies, and analytic approaches to our lab’s research programs. 3. To help write grants and compete for funding. 4. To help write and contribute to publications resulting from research in the lab. Minimum Qualifications/Competencies: * Interest in research on olfaction and/or respiration and/or how these systems are affected in disease. * Computational skills (machine learning, RSA, pattern analysis, k-means clustering, modeling, etc) in analyzing neural data, preferably across a range of techniques including electrophysiology and neuroimaging. * Evidence of first-author peer-reviewed publications. * Excellent communication and writing skills Preferred Qualifications/Competencies: * Experience in human neuroscience research. * Experience in research and clinical training related to neurological conditions are preferred, but not a necessity. * Skillsets on computational, AI (broadly defined), and data science analytic approaches are an advantage. To Apply: Email a cover letter, cv, and 2 references contact info to c-zelano(a)northwestern.edu

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Data Aide for NIH Funded Neuroimaging & AI Research at Stanford University
by daelsaid＠stanford.edu July 23, 2026

July 23, 2026

Description of position: We are seeking a Data Aide 2 to join the laboratory of Dr. Supekar and support data organization, database management, and neuroimaging data preparation across multiple NIH-funded projects at the intersection of neuroscience, artificial intelligence, and precision psychiatry. The Supekar lab integrates neuroscience and artificial intelligence (AI) to advance understanding of brain function and the mechanisms underlying neuropsychiatric disorders. Through rigorous research and clinically oriented translation, we develop evidence-based innovations to improve diagnosis, prognosis, and treatment, with the ultimate goal of improving outcomes for individuals affected by mental illness. The Data Aide will work closely with and under the direct oversight of Dr. Supekar on supporting the organization, management, and preparation of large-scale neuroimaging, clinical, cognitive, and molecular datasets focused on autism and schizophrenia-spectrum disorders. This is a full-time, in-person, computationally oriented role centered on data organization, database management, and neuroimaging data preparation. Core responsibilities include maintaining and managing REDCap databases, organizing and structuring neuroimaging data files for use in analysis, and ensuring data accuracy, completeness, and consistency across studies. The position offers hands-on experience supporting research at the intersection of neuroimaging, data science, and precision psychiatry, with close mentorship from the PI. Required Qualifications: • High school diploma, G.E.D., or equivalent and two years of relevant experience, or a combination of education and relevant experience. • Strong clerical, interpersonal, and basic organizational skills. • Good computer skills. • Ability to exercise judgment and employ basic reasoning skills. • Strong attention to detail. • Experience with REDCap or similar data management/database systems is desirable but not required. • Familiarity with programming languages such as Python, R, or MATLAB for data organization and preparation tasks is desirable but not required. • Interest in or familiarity with neuroimaging data and file structures is desirable but not required. Minimum Education and Experience Required: High school diploma, G.E.D., or equivalent and two years of relevant experience, or a combination of education and relevant experience. Required Application Materials: • Brief cover letter describing relevant experience, interest in the position, and fit with the lab • Current resume or CV • Contact information for two or three references Please email application materials as a single PDF to supekarlab(a)stanford.edu with the subject line: Data Aide. For additional information about the position, please contact Dr. Supekar at the same email address. Applications will be reviewed on a rolling basis until the position is filled. The anticipated start date is flexible. Lab website: https://med.stanford.edu/supekar-lab.html

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Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15
by Rubchinsky, Leonid L July 22, 2026

July 22, 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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Postdoc position in computational modeling and neuro-prosthetics in Prague
by Jan Antolik July 21, 2026

July 21, 2026

Dear Colleagues, We're pleased to announce a postdoctoral position within the Computational Systems Neuroscience Group (CSNG) at Charles University, Prague, focusing on computational neuroscience and neuro-prosthetic system design. CSNG is an international, interdisciplinary research group that explores the intricacies of the visual system, sensory coding, and neuro-prosthetic solutions. To do this, we use a range of computational approaches spanning large-scale biologically detailed spiking network models, firing-rate models of development, and modern machine learning techniques. We are a diverse team of computer scientists, physicists, mathematicians, and engineers dedicated to understanding visual perception and its restoration via neuro-prosthetic devices. Multiple project topics are available (the exact topic can be adjusted to the interest and background of the applicant): - Modeling electrical stimulation in a spiking model of the primary visual cortex. The goal of this project is to understand how intra-cortical stimulation engages the neural code of the visual cortex. - Deep-neural networks in visual neuroscience and possibly its applications for understanding of visual perception under artificial cortical stimulation. - Study of cortical dynamics of spontaneous or artificially evoked activity in the visual cortex. - Biologically detailed spiking large-scale models of early visual cortical pathway - from Retina to V4. Requirements: Strong computational and analytical skills. Experience in computational modeling, spiking neural networks, machine learning or understanding of electric field propagation in biological mediums are of great advantage but not all strictly required. Duration: 1 year contract with possibility of extension. The position is fully funded at least until the end of 2028. Funding: Fully funded Starting date: now Teaching duties: None Monthly salary (gross): ~2900€ To apply, send CV and cover letter explaining your interest and how your skills align with our project to: antolik(a)ksvi.mff.cuni.cz

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Postdoc/PhD positions in computational and theoretical neuroscience || University of Texas at Dallas
by Lyle Muller July 21, 2026

July 21, 2026

Postdoctoral and graduate research positions are available in the Muller Lab (http://mullerlab.io<http://mullerlab.io/>), starting August 2026 at the University of Texas at Dallas. Research will span computational analyses of neural data and applied mathematics to understand computation in neural networks. Researchers will collaborate with multi-disciplinary teams on traveling waves in neural systems (link<https://www.nature.com/articles/s41467-023-39076-2>), analyses of spikes in large neural populations (link<https://arxiv.org/abs/2412.03804>), and spatiotemporal computation in recurrent neural networks (link<https://www.nature.com/articles/s42005-024-01728-0>). The lab also has an ongoing presence at the Fields Institute through the Lab for Network Computation<http://www.fields.utoronto.ca/activities/fields-lab-network-computation>. Recent publications from the lab include a review on traveling waves in neural systems<https://authors.elsevier.com/c/1nTl93BtfHGow9>, focusing on circuit mechanisms for spatiotemporal organization of spiking and synaptic activity in single regions of cortex, and how traveling waves can generate computations in artificial neural networks modeling these systems. Prior experience with scientific computing, signal analysis, and applied mathematics is preferred. UT Dallas offers an outstanding research environment, with strong programs in systems and computational neuroscience. Candidates can write to lyle.muller(a)utdallas.edu<mailto:lyle.muller@utdallas.edu> with a CV and short statement of interest. -- Lyle Muller http://mullerlab.ca

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Systems Vision Science (SVS) Virtual Symposium July 31 – Program available, register (free) to obtain zoom link
by Pavlovic, Maria July 21, 2026

July 21, 2026

Systems Vision Science <https://www.lizhaoping.org/Systems-Vision-Science.html> Virtual Symposium: July 31st, 2026, 02.00 – 06.00 pm (german time) The program is now available here: https://summerschool.lizhaoping.org/symposium-2026/ To participate via zoom, please register <https://docs.google.com/forms/d/e/1FAIpQLSfCIzbDUeswiWyB39JE9VX7Jj-DYJ5ajh8…> FOR FREE. Registration is accepted until space is filled! -------------------------------- Keynote, invited, and contributed speakers of the Systems Vision Science Symposium include: 14:00-14:30 Wu Li: „Corticocortical Feedback as a Unifying Mechanism for Visual Perception and Learning” 14:30-14:45 Daniel Anthes: „The illusory simplicity of the feedforward sweep” 14:45-15:00 Tatia Buidze: „Outcome history shapes implicit perceptual learning without awareness of the eye of origin“ 15:00-15:15 Pinglei Bao: „Triple-N Dataset: Linking Single Neurons, Deep Neural Networks, and Natural Vision” 15:15-15:30 Lisa Kroell: „Predictive foveal processing in active vision“ 15:30-15:45 Winrich Freiwald: „From objects to action symbols“ 15:45-16:00 Virtual Coffee Break 16:00-16:15 Marlene Behrmann: „Understanding human vision through studying its breakdown“ 16:15-16:30 Li Zhaoping: „Ventral stream feedback to V1 is focused on the central visual field: Anatomical evidence for the looking-and-seeing framework of vision“ 16:30-16:45 Marisa Carrasco: „Dissecting Covert Attention: A Cortical Double Dissociation“ 16:45-17:00 Bruno Rossion: „The cellular basis of the human face inversion effect“ 17:00-17:15 Zygmunt Pizlo: „Mathematical foundations of Gestalt psychophysics.“ 17:15-17:30 Shahin Nasr: „Mesoscale developmental rivalry in human extrastriate visual cortex“ 17:30-18:00 Patrick Cavanagh: „Using Illusions and Art to Understand the Visual Brain“ -------------------------------- The zoom link for joining the symposium will be sent to the registrants. Please direct inquiries to <mailto:svs.summerschool@tue.mpg.de> svs.summerschool(a)tue.mpg.de. -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Vladislav Aksiotis Kai Rothe Max-Planck-Institute for Biological Cybernetics University of Tübingen

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3 Fully Funded PhD Positions in AI/ML & Computational Brain Health @ Interdisciplinary Transformation University (IT:U) Austria
by Jie Mei July 20, 2026

July 20, 2026

The newly established Interdisciplinary Transformation University (IT:U) in Linz, Austria, invites applications for 3 fully funded PhD positions within our PhD Program in Interdisciplinary Computing. The contract can be extended to 4 years to support full project completion. We are seeking highly motivated researchers with strong mathematical and technical backgrounds to develop cutting-edge AI/ML models specifically targeted at computational brain health, neurodegenerative diseases, and disorders of consciousness. The Positions & Projects 1 Position – PROCEED: Predicting Recovery Of Consciousness via Evidence-based Evaluation and Diagnosis. PIs: Dr. Jie Mei (IT:U) & Dr. Spiros Denaxas (IT:U / UCL). 2 Positions – INDEED-PD: Integration of Novel Biomarkers for Detection, Evaluation of Early Signatures, and Developmental Insights of Parkinson’s Disease. PIs: Dr. Jie Mei (IT:U), Dr. Daniel Klotz (IT:U), and Dr. Erich Kobler (Institute for Machine Learning, JKU). Key Responsibilities * Design and implement AI/ML architectures optimized for computer vision, neural signal processing, and time-series data. * Create experimental setups to evaluate computational methods against strong baselines. * Work closely across a network of computer scientists and clinicians (IT:U, JKU, and Kepler University Hospital). * Publish and present findings at top-tier international scientific AI/ML and neuroscience venues. What We Are Looking For * A master's degree in a highly quantitative discipline: Computer Science, Mathematics, Physics, Electrical Engineering, Statistics, or related fields. * Solid grounding in the theory and practice of Deep Learning. * Hands-on experience in AI/ML applications. * An interest in the computational modeling of brain circuitry in health and disease is a plus. View job postings here: https://it-u.at/en/study-program/doctoral-school/phd-interdisciplinary-comp… Best regards Jie Mei Assistant Professor of Computational Neuroscience [Ein Bild, das Schwarz, Dunkelheit enthält. Automatisch generierte Beschreibung] Altenberger Straße 66c Science Park 4 | OG 2 4040 Linz | Austria ATU79114879 www.it-u.at<https://www.it-u.at/> +43 676 / 851307 254 jie.<mailto:vorname.nachname@it-u.at>mei(a)it-u.at<mailto:vorname.nachname@it-u.at> Unsere Datenschutzerklärung finden Sie unter https://it-u.at/en/privacy/. Der Inhalt dieser E-Mail ist vertraulich und kann rechtlich besonders geschützte Informationen beinhalten. Wenn Sie nicht der beabsichtigte Empfänger sind, dürfen Sie diese E-Mail oder die angeschlossenen Dateien weder bearbeiten, verwenden, weitergeben noch reproduzieren. Sollten Sie nicht der vorgesehene Empfänger sein, ersuchen wir Sie höflich, sich sofort mit uns ins Einvernehmen zu setzen und die E-Mail und sämtliche angeschlossene Dateien zu löschen. You can find our Privacy Policy here https://it-u.at/en/privacy/. The content of this email is confidential and may also contain legally privileged information. If you are not the intended recipient you may not process, use, transmit or reproduce this email or any enclosed attachments. If you have received this email by mistake, please notify the sender immediately and delete this email and any enclosed attachments from your system.

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2-year postdoc at Neurospin/INM, Paris: Computational and high field MRI characterization of learning and decision-making - Supervisor: Dr Florent Meyniel
by Zeineb Amor July 16, 2026

July 16, 2026

Dear all, A two-year postdoctoral position is available at NeuroSpin/INM (Paris, France) under the supervision of Dr. Florent Meyniel. https://computationalbrainteam.com/en/recruitment/2-year-postdoctoral-posti… *Project* Computational and high field MRI characterization of learning and decision-making *Supervisor and contact* Dr Florent MEYNIEL https://www.unicog.org/lab/the-computational-brain/ *Duration and Dates* * Initial duration: two years * Extension possible * Full-time post * Preferred starting date: October 2026 to January 2027 *Project description* Learning and decision making are intertwined processes in many everyday situations. One example is when you decide where to have lunch: should you go to the nearby coffee shop or to the university cafeteria? Learning depends on choice, because you can learn which option you prefer by trying each option repeatedly, and decision making depends on learning, because you eventually want to select the option you have learned you like best. Uncertainty plays a key role in both learning1–4 and decision making5, especially when the environment is not stationary (e.g., a new brand now runs the nearby coffee shop and you like it less). In the ANR/CEA-funded BrainSync collaborative project, we are interested in characterizing the neural representations of uncertainty6–8 and value that emerge from learning and guide decisions. Our approach combines deep phenotyping approach and multimodal imaging in the EXPLORE task5. We collected data from 16 participants who participated in one behavioral session, two 7T fMRI sessions, and two MEG sessions. 56 other participants participated in one pupillometry session and one 3T fMRI session. We also plan to record a dataset on our 11.7T MRI, and we have started to collect intracranial EEG data. This large multimodal dataset allows us to estimate and test different computational models of the decision and learning processes. One postdoc is currently working on the MEG and iEEG data, and one PhD student is working on the behavioral and 11.7T data (to be collected). We are looking for another postdoc for the already collected fMRI datasets. The postdocs and PhD student will work together to perform analyses informed by all datasets. *Profile* Ph.D. in neuroscience, machine learning or psychology, with strong programming skills, ideally in Python. Previous experience with ideally fMRI, computational modeling. You will be responsible for analyzing fMRI data and disseminating results in internal seminars, international conferences and journal articles. The working language of the lab is English. French is not required. *Workplace and environment* Dr Florent MEYNIEL leads the Computational Brain team (more info here), which is located in two places. * Institute of NeuroModulation (INM), Sainte Anne Hospital, Paris, France. The INM is part of the GHU Paris, Psychiatry & Neurosciences. The INM combines clinical activities and innovative clinical research in psychiatry with basic research in computational neuroscience. Team members spend most of their days here. * NeuroSpin, Paris-Saclay Campus, France. NeuroSpin is part of the CEA (Commissariat à l'Energie Atomique). Directed by Prof. Stanislas DEHAENE, NeuroSpin is a world-class brain imaging center equipped with a MEG system (Elekta, Neuromag) and several human MRI scanners (3T Prisma, 7T and 11.7T), all for research purposes only. The community at NeuroSpin is very scientifically stimulating, combining MRI physicists, machine learning experts, and cognitive neuroscientists. Team members go there to collect data and collaborate with their colleagues in the Cognitive NeuroImaging Unit. *Application procedure* Please send an email to Florent Meyniel (florent.meyniel(a)cea.fr) * Your CV * a research statement describing your research interests and proposed directions * the contact details of two referees Applications will be considered on a rolling basis (positions will remain open until filled). *Salary * Will follow INM standards and depend on experience. *References* 1. Meyniel, F., Schlunegger, D. & Dehaene, S. The Sense of Confidence during Probabilistic Learning: A Normative Account. PLoS Comput Biol 11, e1004305 (2015). 2. Meyniel, F., Sigman, M. & Mainen, Z. F. Confidence as Bayesian Probability: From Neural Origins to Behavior. Neuron 88, 78–92 (2015). 3. Foucault, C. & Meyniel, F. Two Determinants of Dynamic Adaptive Learning for Magnitudes and Probabilities. Open Mind 8, 615–638 (2024). 4. Meyniel, F. Brain dynamics for confidence-weighted learning. PLOS Comput. Biol. 16, e1007935 (2020). 5. Paunov, A. et al. Multiple and subject-specific roles of uncertainty in reward-guided decision-making. 2024.03.27.587016 Preprint at https://doi.org/10.1101/2024.03.27.587016 (2024). 6. Walker, E. Y. et al. Studying the neural representations of uncertainty. Nat. Neurosci. 1–11 (2023) doi:10.1038/s41593-023-01444-y. 7. Bounmy, T., Eger, E. & Meyniel, F. A characterization of the neural representation of confidence during probabilistic learning. NeuroImage 268, 119849 (2023). 8. Meyniel, F. & Dehaene, S. Brain networks for confidence weighting and hierarchical inference during probabilistic learning. Proc. Natl. Acad. Sci. 201615773 (2017) doi:10.1073/pnas.1615773114. Best regards, Zaineb Amor, PhD Research Engineer GHU Paris, Psychiatrie et Neurosciences Institut de Neuromodulation Paris, France

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Call for Extended Abstracts – WWIN 2026 Workshop @ SAB 2026
by Yoshida Naoto July 16, 2026

July 16, 2026

(Apologies for cross-posting.) Dear colleagues, We are pleased to announce that the first international workshop “Wanting What is Needed: From Homeostatic Control to Adaptive Behavior” will be held on October 19th in Berlin, Germany, as part of SAB 2026. Workshop website: https://wwin-workshop.github.io/sab2026 ====================================== Aims of the workshop ====================================== Classical reinforcement learning and cognitive models often begin with externally specified rewards. Biological organisms, by contrast, are autonomous learning agents whose behavior is constrained by the need to sustain their own viability. This workshop asks how internal physiological regulation can ground decision-making, value formation and motivated behavior. We aim to foster a shared interdisciplinary conversation across machine learning, artificial intelligence, robotics, neuroscience, biology, physiology, ethology and control theory. The goal is to clarify how homeostatic and allostatic regulation can contribute to adaptive behavior in both biological organisms and artificial agents. ====================================== Invited speakers ====================================== * Lilian A. Weber (Osnabrück University) * Lola Cañamero (CY Cergy Paris University) * Antonio Damasio (University of Southern California, online) ====================================== Extended abstracts for lightning talks and posters ====================================== * Extended abstracts of up to 3 pages (main text) * References, appendices, and acknowledgements are not included in this limit * Springer LNCS style (template available on the workshop website) Keywords: Homeostasis, Allostasis, Intrinsic needs, Value formation, Motivated behavior, Embodied robotics, Adaptive agents, Control theory, Interoception, Internal states ====================================== Important dates ====================================== * Extended Abstract Submission Deadline: August 5, 2026 * Notification of Acceptance: August 19, 2026 * Workshop Date: October 19, 2026 (afternoon) Best regards, Naoto Yoshida (Kyoto University) On behalf of the organizing committee: Boris Gutkin (École Normale Supérieure) Henning Sprekeler (Technical University of Berlin) Louis L’Haridon (ENSEA / CNRS) Lola Cañamero (CY Cergy Paris University) Ismael T. Freire (Sorbonne University) Mehdi Khamassi (Sorbonne University) --- Naoto Yoshida, PhD Program-Specific Researcher (Symbol Emergence Systems for Qualia Structures) Symbol Emergence Systems Lab. Graduate School of Informatics Research Bldg. 7 Kyoto University Yoshida-Honmachi, Sakyou-Ku, Kyoto, Japan. yoshida.naoto.8x(a)kyoto-u.ac.jp <mailto:yoshida.naoto.8x@kyoto-u.ac.jp> X: @movingsloth webpage: https://sites.google.com/view/movingsloth

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Multiple PhD positions in Cognitive Neuroscience at SISSA - application deadline 20 August 2026
by Eugenio Piasini July 15, 2026

July 15, 2026

Up to 3 PhD positions in Cognitive Neuroscience are available at SISSA, Trieste, starting October 2026. SISSA is an elite postgraduate research institution for Maths, Physics and Neuroscience, located in Trieste, Italy. SISSA operates in English, and its faculty and student community is diverse and strongly international. The Cognitive Neuroscience group (https://phdcns.sissa.it/) hosts 7 research labs that study the neuronal bases of time and magnitude processing, neuronal foundations of perceptual experience and learning in various sensory modalities, motivation and intelligence, language, and neural computation. Our research is highly interdisciplinary; our approaches include behavioral, psychophysics, and neurophysiological experiments with humans and animals, as well as computational, statistical and mathematical models. Students from a broad range of backgrounds (physics, maths, medicine, psychology, biology) are encouraged to apply. The selection procedure is now open; please apply here<https://pica.cineca.it/sissa/phd-cns-02-2026/>. The application deadline for the spring admission round is 20 August 2026 at 1pm CET. For more information on the procedure, see our admissions page<https://phdcns.sissa.it/admission-procedure>. Please contact the PhD Coordinator Mathew Diamond (diamond(a)sissa.it) and/or your prospective supervisor for more information and informal inquiries.

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Faculty positions in computational/theoretical neuroscience and NeuroAI at OIST, Japan
by Erik De Schutter July 15, 2026

July 15, 2026

The Okinawa Institute of Science and Technology (https://www.oist.jp/) is an international, interdisciplinary graduate university in Japan, operating entirely in English and committed to empowering world-class researchers with the freedom, resources, and support they need to drive transformational discoveries. We are seeking outstanding scientists to join our community as tenure-track faculty members, as part of an expansion in two broad areas. We aim to appoint two tenure-track assistant professors in: * Life Sciences & Neuroscience: including theoretical and AI approaches We provide: * Core research funding for your scientific vision * Fully funded PhD students, postdoctoral researchers, lab technicians, and staff scientists * World-class core facilities and support staff * Opportunities for amplifying your scientific impact (e.g., technology transfer, outreach, collaborations, etc.) * Full administrative support and assistance with living and working in Okinawa * Competitive compensation package, including housing and commuting allowances, relocation support, family benefits, and dual-career opportunities Our culture and environment: * No faculty hierarchies or departments * A thriving international research community representing 73 countries and territories * A vibrant, safe, multicultural setting on the beautiful island of Okinawa OUR SCIENTIFIC VISION OIST empowers faculty to pursue fundamental, curiosity-driven research while encouraging connections across disciplines. Our faculty publish in top-tier journals, lead international collaborations, and attract prestigious fellowships. We support researchers not only as scientists but also as mentors, leaders, and innovators. To promote scientific excellence through a diverse and inclusive community, OIST actively encourages applications from women and other underrepresented groups. We provide a family-friendly working environment, including a bilingual child development center on campus. APPLY * Life Sciences & Neuroscience https://apply.interfolio.com/188856

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Graduate student / Postdoc position
by Goodhill, Geoffrey July 13, 2026

July 13, 2026

The emergence of spontaneous activity during cortical development Labs of Geoff Goodhill and Linda Richards Washington University School of Medicine, St Louis We are looking for a Postdoc or Graduate student to analyze and model the emergence of early patterns of spontaneous neural activity in developing cortex. We are interested in questions such as whether functionally distinct areas show common or distinct initial activity patterns, and how these patterns relate to subsequent function. This project is based on data from the dunnart (an Australian marsupial), an animal model which offers unique advantages over rodents for studying early activity since dunnarts are born at a much earlier stage of brain development. Our initial work on this project is described in https://www.pnas.org/doi/10.1073/pnas.2208654120. We are now using 2-photon imaging of soma-targeted GCaMP8m which offers data with much higher resolution and detail. The postdoc/student will work between the Goodhill and Richards labs, which are both located in a new 60,000 m^2 building dedicated entirely to neuroscience research which opened in 2023. USNews currently ranks Washington University =6th in the world for Neuroscience and Behavior. Applicants should have a strong math/engineering background and an interest in neuroscience, particularly spontaneous activity and the developing brain. To apply send a detailed CV including names of at least 3 referees and a cover letter explaining your interest in the position to g.goodhill(a)wustl.edu. Review of applications will begin immediately. Potential graduate students please note that there is an upcoming deadline of Aug 1st for applications to relevant Engineering graduate programs at WashU. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 4370 Duncan Ave. St Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd Linda J. Richards Edison Professor and Chair, Department of Neuroscience Director, McDonnell Center for Cellular & Molecular Neurobiology Washington University School of Medicine

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From Binghamton to Granada: COMPLEX NETWORKS 2026 is open for submissions
by Hocine Cherifi July 13, 2026

July 13, 2026

Dear colleagues, We would like to remind you that the 15th International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS 2026) will take place in Granada, Spain, from December 2–4, 2026, with tutorials on December 1. This anniversary edition will continue the tradition of bringing together researchers from network science, complex systems, graph learning, computational social science, physics, computer science, mathematics, biology, economics, and many other fields. The program will feature keynote lectures by Alexandra Brintrup, Nitesh Chawla, Kimmo Kaski, Bruno Lepri, and Eckehard Schöll, as well as tutorials by Fariba Karimi and Huijuan Wang. Submissions are invited in two formats: · Full papers, up to 12 pages, for publication in the Springer proceedings; · Extended abstracts, up to 4 pages, for presentation at the conference and publication in the Book of Abstracts with ISBN. Selected contributions will also be considered for journal special issues. Submission deadline: September 2, 2026 Submission: https://cmt3.research.microsoft.com/COMPLEXNETWORKS2026/ Website: https://complexnetworks.org/ As a reminder, the Springer proceedings of COMPLEX NETWORKS 2025, held last December in Binghamton, are currently freely available. They provide a good overview of the diversity of contributions presented at the conference, across theory, methods, and applications of complex networks. Free access to the 2025 proceedings, Volumes 1–4, is available until July 30, 2026: https://drive.google.com/drive/folders/11_Xzh--IUPNwj6HE-Hzj8cIhXL-LLbMZ?us… We warmly invite you to submit your work and to share this call with colleagues, students, postdocs, and young researchers who may be interested. Best regards, Hocine Cherifi General Co-Chair, COMPLEX NETWORKS 2026 Join us at COMPLEX NETWORKS 2026 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Université Bourgogne Europe Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/> Evolutionary Intelligence <https://link.springer.com/journal/12065>

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search for Assistant Professor in NeuroAI
by xaq＠cmu.edu July 13, 2026

July 13, 2026

Carnegie Mellon University (CMU) invites applications for a tenure-track Assistant Professor in the Neuroscience Institute from scholars working broadly at the intersection of Neuroscience and Artificial Intelligence. We welcome a wide range of research programs, provided they maintain a substantive connection to neuroscience through data, theory, or modeling. Examples of relevant research topics include but are not restricted to: generative models of brain data, AI-based analysis tools for neural activity or connectivity, explainable AI grounded in cognitive/neuroscience principles, human-AI alignment, normative agentic models of animal behavior, mechanistic models of memory or learning in neural networks, descriptive models of invariant representations and dynamics, and embodiment in both natural and artificial systems. The successful candidate will join a vibrant, collaborative environment spanning multiple departments at CMU. Our NeuroAI group leverages CMU’s world-class research in machine learning and AI, robotics, cognitive and systems neuroscience, neurotechnology, data science, engineering, and biological sciences. Joint appointments and courtesy appointments across departments are common in the Neuroscience Institute, and may be an opportunity for some candidates. CMU has a well-established structure for interdisciplinary collaboration in this domain, including specialized programs in neural computation and machine learning, and neurorobotics. The NI also encourages collaboration with industry and commercialization of new ideas. Aspiring entrepreneurs can be supported by a variety of business resources at CMU such as the Swartz Center and new entrepreneurship initiatives. Candidate responsibilities include establishing a visible, externally funded research program; teaching and mentoring in NI; recruiting and supervising both masters and Ph.D. students; and contributing to curricular innovation, including emerging initiatives, such as a new masters program in neural technologies. Information about the Neuroscience Institute can be found at https://www.cmu.edu/ni/.

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2-year Post-doc position on Autonomous Machine Learning / Computational Modeling of Cognitive Development
by Jochen Triesch July 10, 2026

July 10, 2026

The Frankfurt Institute for Advanced Studies (FIAS) is looking for a Postdoctoral Researcher (f/m/d) in the area of: Autonomous Machine Learning / Computational Modeling of Cognitive Development. The primary goal is to develop computational models that autonomously learn abstract representations and models of the world and ways to interact with it in and open-ended fashion from self-motivated physical interactions. Relevant keywords include: autotelic learning, open-ended learning, continual learning, intrinsic motivation, causality, compositionally, hierarchy, modularity. Please find links to some of our recent publications at the bottom. Your profile We are seeking an outstanding and highly motivated postdoc for this position. Applicants should have obtained a PhD in Machine Learning, Cognitive Science, Robotics, or related field. The ideal candidate will have excellent programming and analytic skills and a broad knowledge of machine learning and/or cognitive science. A strong interest in open-ended learning systems and human cognitive development is important. About FIAS The Frankfurt Institute for Advanced Studies (FIAS) is a hub for theoretical and computational research dedicated to solving complex scientific challenges. Our institute is located on the science campus of Goethe University Frankfurt (Campus Riedberg). Our fellows pursue interdisciplinary approaches to address fundamental questions in the various areas of natural sciences with an emphasis on biologically inspired computing. The working language of the institute is English. The position We offer a 2-year fulltime position in the lab of Prof. Dr. Jochen Triesch at the Frankfurt Institute for Advanced Studies (FIAS). Salary is based on TV-H E/13. FIAS is committed to fostering a workplace culture that promotes equality, diversity, and inclusion. We strongly encourage applications from qualified individuals regardless of gender, nationality, ethnic or social origin, religion, disability, age, or sexual orientation. Severely disabled persons with equal qualifications will be given priority. Your application Please submit your application in a single pdf file including: • a cover letter including the (expected) date of your PhD and your desired starting date, • a statement of research interests, • your CV with publication list, • contact information for at least two references. by 8 August, 2026 via our online portal: https://jobapplication.hrworks.de/de?companyId=amb4af72&id=efcd33 For further questions, please contact: Scientific issues: Prof. Dr. Jochen Triesch (triesch(a)fias.uni-frankfurt.de) Administrative issues: Meike Taplik (hr(a)fias.uni-frankfurt.de) -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt Some relevant recent papers: https://ieeexplore.ieee.org/abstract/document/11204381 https://onlinelibrary.wiley.com/doi/full/10.1111/desc.70211 https://link.springer.com/chapter/10.1007/978-3-031-73226-3_4 https://onlinelibrary.wiley.com/doi/full/10.1111/desc.70231 https://www.nature.com/articles/s41467-025-64234-z

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Workshop at CNS2026: applications of detailed microcircuit models
by Etay Hay July 9, 2026

July 9, 2026

Workshop: Detailed models of brain microcircuit activity and signals in clinical applications July 15, 2026, 9:00am-12:30pm ADT At CNS 2026 conference, Halifax, Canada Speakers: Etay Hay Assistant Professor, Centre for Addiction and Mental Health, University of Toronto Heng Kan Yao Postdoc, Centre for Addiction and Mental Health, University of Toronto Salvador Dura-Bernal Associate Professor, State University of New York (SUNY) Downstate Katharina Duecker Postdoc, Brown University Alexandre Guet-McCreight Postdoc, Centre for Addiction and Mental Health, University of Toronto Brain function is mediated by neuronal microcircuits with specific connectivity between neuron types, and it is increasingly evident that altered microcircuitry underlies deficits in brain disorders such as depression and schizophrenia, and in aging and Alzheimer’s. However, our ability to monitor the microcircuitry in living humans is limited, meriting the use of detailed computational simulations to overcome experimental limitations in linking the microcircuit mechanisms with altered cortical activity, functional deficits and biomarkers in clinically-relevant brain signals. This workshop will showcase the latest efforts from leading groups in large-scale neuronal microcircuit modeling of spiking activity and signals such as EEG and MEG. The workshop will present diverse data-driven microcircuit modeling approaches that integrate neuronal, synaptic and functional data, and the different simulation tools used to generate activity and brain signals from the models. The workshop will highlight clinical applications of the models in establishing target mechanisms for treatment, and estimating microcircuit mechanisms from clinical signals in patient data with machine learning to improve diagnosis. This workshop aims to foster the exchange of methods and ideas, and offer new insights on clinical applications of simulated large-scale cortical microcircuits. CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

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[jobs] Computational Neuroscientist / Electrophysiology Data Analysis Engineer at MaxWell Biosystems (Zurich, Switzerland)
by Jan Müller July 8, 2026

July 8, 2026

Dear all, We are looking for a Computational Neuroscientist / Electrophysiology Data Analysis Engineer to join MaxWell Biosystems in Zurich, Switzerland. If you enjoy neural data analysis, statistical modeling, MEA-based extracellular electrophysiology, spike sorting, and developing software tools used by neuroscientists around the world, we would love to hear from you. MaxWell Biosystems develops high-density microelectrode array (HD-MEA) platforms for neuroscience research and drug discovery. Our technology combines custom CMOS sensors, FPGA-based acquisition hardware, and the MaxLab Live software platform to record, analyze, and visualize large-scale neural activity at high spatial resolution. As part of our interdisciplinary team, you will help develop the next generation of neural data analysis tools for our platform. Your Mission: - Develop and enhance robust pipelines for neural data analysis, including statistical analysis, spike sorting, and feature extraction - Evaluate and integrate state-of-the-art methods from computational neuroscience, machine learning, and statistics - Collaborate with neuroscientists and electrophysiologists to translate scientific challenges into practical software solutions - Develop APIs and software tools that simplify large-scale electrophysiology data analysis - Help shape the future of our analysis software by contributing your own ideas and technical expertise Your Profile: - Background in computational neuroscience, neuroengineering, or a related field - Hands-on experience analyzing extracellular MEA recordings is required - Experience with statistical analysis and modeling - Strong understanding of neural spike data, extracellular electrophysiology, and neural signal processing - Experience with spike sorting and neural data analysis tools (e.g. SpikeInterface, Kilosort, SpyKING CIRCUS, Phy) is a strong plus - Strong programming skills in Python; experience with C++ is a plus - Familiarity with Linux and scientific software development - Enjoy writing clean, maintainable code - Experience with AI-assisted coding tools (e.g. Claude) is a plus - Excellent communication skills and enthusiasm for working in an interdisciplinary team Why Join MaxWell Biosystems? Join a multidisciplinary team of neuroscientists, software engineers, and hardware developers working on cutting-edge HD-MEA technology for neuroscience research and drug discovery. Your work will directly contribute to software tools used by researchers around the world to analyze large-scale neural recordings. Apply: If this sounds like a role you would enjoy, we would love to hear from you. Please send your CV, a brief cover letter, and relevant transcripts to hr(a)mxwbio.com More details: https://www.mxwbio.com/open-position/computational-neuroscientist-electroph… Best regards, Jan -- Jan Müller, Ph.D. | CTO MaxWell Biosystems AG | Albisriederstrasse 253 | CH-8047 Zurich | Switzerland email: jan.mueller(a)mxwbio.com | web: www.mxwbio.com

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Multiscale Modeling with MOOSE and Jardesigner at CNS*2026
by MOOSE Neuro July 8, 2026

July 8, 2026

Dear all, We are pleased to announce a hands-on tutorial on *Multiscale Modeling with MOOSE *at CNS*2025! *Saturday, July 11, 2026, 09:00 AM - 12:00 ADT PM, Room : 505* The objective of this tutorial is to familiarize participants with MOOSE, the Multiscale Object-Oriented Simulation Environment (https://mooseneuro.org) a comprehensive simulation platform designed for computational modeling in neuroscience and systems biology. In addition to tutorials on biophysical and biochemical models, we shall showcase new features of MOOSE, including *JARDESIGNER, *a web-based frontend for multiscale modeling. We will illustrate the use of *JARDESIGNER* and MOOSE to build and run spiking neuron models incorporating chemical signaling for neuromodulation and synaptic plasticity on spines. *Speakers:* Dr. Subhasis Ray, Prof. Upinder S. Bhalla, Dr. Bhanu Priya S *Schedule :* *9:00 am - 10:10 am *Hands-on sessions with modelling and simulation in Jardesigner. *10:40 am - 12:00 pm* Building single-neuron models to multiscale neuronal models using Python Scripting in MOOSE. We will also present a poster titled *"JARDESIGNER : Installation-free-in-browser **modeling with signaling and conductances in multicompartment neurons" *on *July 14th, 2026 in Ballroom B2 from 5:00 - 7:00 PM, ADT. * Find the abstract here https://cns2026.sched.com/event/2PxP1/p100-jardesigner-installation-free-in… More details can be found here: https://cns2026.sched.com/ <https://cns2025florence.sched.com/event/24uTo/p252-developments-around-moos…> Please feel free to share this announcement with anyone who might be interested. -- Cheers! Parita Mehta Community Manager for MOOSE *On behalf of the MOOSE team* GitHub <https://github.com/mooseneuro/> | Official website <https://www.mooseneuro.org/> | LinkedIn <https://www.linkedin.com/in/moose-neuro-simulator-064088315/> | X <https://x.com/mooseneurosim> | Bluesky <https://bsky.app/profile/moosesim.bsky.social>

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Teaching Assistant (TA) applications now open for Simons Computational Neuroscience Imbizo 2027
by Spiros Chavlis July 7, 2026

July 7, 2026

Dear friends and colleagues, We are seeking passionate post-doctoral or senior PhD researchers to join our team as Teaching Assistants (TAs) for the upcoming Simons Computational Neuroscience Imbizo, a deeply immersive summer school held in Noordhoek, Cape Town, South Africa. Apply here: https://imbizo.africa/ta-application/ Application Requirements Before you begin your application, please ensure you have the following ready: A brief CV: 2-4 pages maximum, uploaded as a PDF. A motivational statement: A short text (max 600 words) outlining your scientific interests and background, why you would be a good fit, and your preferred topics for teaching tutorials and supervising student projects. Reference details: The name and contact information of one referee. (Note: Your referee will automatically receive an email prompt once you submit. Please inform them to check also their spam emails). Important Dates: Applications Close: 1st September 2026 at 20:00 UTC Imbizo Dates: 27th August - 16th September 2027 About the Imbizo: The school hosts 27-28 students for approximately three weeks of intensive lectures, tutorials, projects, and forging new friendships. All this takes place on Noordhoek beach, nestled between the mountain and the ocean, a truly spectacular location. The Imbizo is a special experience. Students are totally immersed in academic, social, touristic, and cultural activities, which has historically resulted in previous cohorts of students and TAs becoming very close, both personally and scientifically. This is fantastic, as a major goal of the Imbizo project is to help young African researchers grow their academic peer and friend groups. The Role of a TA Academic Responsibilities: (a) Design and run one afternoon tutorial during the first week of the school. Each TA will teach a different topic, chosen collaboratively among the TA team and the Academic Directors, to provide students with broad exposure to methods in computational neuroscience, (b) Supervise a group of approximately 5 students for their project work during the last two weeks of the school, and (c) Assist the organizing committee in processing student applications in early 2027. Social Responsibilities: TAs are integral to the daily life of the school. In addition to academic support, you will be expected to foster good social interactions, spark academic discussions, and help ‘shy’ students meet faculty. TAs act as the ‘social glue’ of the Imbizo, helping to notice and support students who may be feeling ill, having difficulties fitting in, or struggling with the workload. To fulfill these roles, TAs are required to attend all school meals and activities. What We Provide We cover direct, economy-class flights to Cape Town, as well as all board and lodging for the duration of the school. A separate call for student applications will follow in January 2027. Please reach out if you have any questions! Please spread the word. Thank you in advance. On behalf of the #Imbizo2027 Organizing committee Spiros Chavlis Twitter: @CompNeuroImbizo Bluesky: imbizo.bsky.social email: info [AT] imbizo [DOT] africa

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Postdoctoral Positions in Computational Neuroscience & AI @ EPFL, CH
by Alexander Mathis July 6, 2026

July 6, 2026

The A. Mathis Group for Computational Neuroscience and AI (CNAI) is seeking two postdoctoral fellows to join our team working at the intersection of artificial intelligence and neuroscience. Our research is built around three intertwined questions: how to measure and understand behavior with AI, how brains and embodied agents learn to control the body, and how the brain builds a sense of its body through proprioception. We develop widely-used open-source tools (e.g., DeepLabCut), train biomechanically realistic embodied agents (e.g., MuscleMimic, Kinesis, Arnold), and build AI-based models of sensorimotor processing. We are recruiting two postdocs: 1) Postdoc in Computer Vision & AI for Behavior Analysis 2) Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities For both positions: * Conduct innovative, independent research aligned with the lab's mission and the candidate's interests * Contribute to the lab's open-source software, datasets, and benchmarks * Mentor PhD and Master's students and contribute to the lab's collaborative culture * Engage with collaborators across EPFL and beyond (neuroscience labs, ecology partners, clinical collaborators) * Present research at international conferences and workshops Position 1: Computer Vision & AI for Behavior Analysis * Contribute to the creation of behavioral datasets for groups of animals * Develop methods for animal and environment reconstruction * Develop methods for behavior understanding from multi-view video and audio recordings * Advance multimodal large language models for fine-grained action understanding and reasoning * Help shape the next generation of DeepLabCut and related open-source tools used by labs worldwide. Position 2: Embodied AI * Train muscle-actuated, biomechanically realistic agents to perform skilled motor tasks using reinforcement learning, imitation learning, and curriculum methods; * Develop new methods for full-body musculoskeletal control * Probe links between learned control policies and neural representations of movement in collaboration with experimental labs Common requirements: * PhD (completed or close to completion) in computer science, applied mathematics, computational neuroscience, robotics, physics or a closely related field; * Strong publication record in relevant venues; * Solid programming skills in Python and a modern deep-learning framework * Excellent communication skills in spoken and written English; * Self-motivated, collaborative, and committed to open science and reproducible research; * Demonstrated ability to work both independently and as part of a team. More details and ways to apply: https://careers.epfl.ch/job/Gen%C3%A8ve-Postdoctoral-Positions-in-Computati… Lab website: https://cnai.epfl.ch/

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Postdoc position in the Unit on the Neural Computations in Learning, NIMH
by Langdon, Angela (NIH/NIMH) [E] July 6, 2026

July 6, 2026

We have an opening for a postdoctoral fellow to join my lab in the Intramural Research Program of the National Institute of Mental Health at the NIH campus in Bethesda, MD. Research in the lab is focused on the computational neuroscience of reward prediction and learning. Broadly, we study how timing, inference processes and goal selection modulate learning in reward-guided tasks in animals and humans, and how these processes are supported by neural activity in the reward learning circuits of the brain. Our goal is to understand how reward learning is altered in compulsive behaviors, addiction, and motivational deficits in disorders of mental health. We are looking for a postdoc who will use approaches from dynamical systems theory, reinforcement learning and Bayesian inference to understand how goal-directed behaviors and learning are regulated in neural circuits. The ideal candidate thinks about reward prediction and learning as dynamic processes unfolding in time and across experience, is fluent in both the theoretical and empirical approaches used in systems, behavioral and cognitive neuroscience, and aims to link normative models of behavior to the dynamics of neural populations in the reward learning circuits of the brain. We are a computational group that works with a broad network of collaborating labs spanning rodent, NHP and human studies, and would suit a computational neuroscientist excited to work at the intersection of theory and experiment in an interdisciplinary research environment. An overview of research training at NIH can be found here: https://www.training.nih.gov/research-training/ Interested candidates should have strong quantitative and programming skills, fluency with dynamical systems theory (and ideally reinforcement learning and/or Bayesian inference), demonstrated familiarity with neuroscience and behavioral research, and a record of scientific contributions in an area relevant to research in the lab. Interested candidates should send a brief research statement (1-2 paragraphs) and a cv to Dr Angela Langdon (angela dot langdon at nih dot gov). Informal enquiries are welcome!

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Re: vision: a community-driven replication initiative for image-related neuroscience
by Alessandro Gifford July 3, 2026

July 3, 2026

Dear colleagues, We are excited to announce re:vision, a community-driven initiative for replicating and generalizing findings in image-related neuroscience and we'd love for you to take part. Condition-rich fMRI datasets have transformed how we study visual representations, but they rest on two assumptions: that their stimuli sample natural images broadly, and that findings generalize across that distribution. These assumptions are rarely tested directly. re:vision sets out to change that. The initiative is built on the new LAION-fMRI dataset: densely-sampled 7T fMRI responses to 25,000+ natural images, designed to cover the space of natural images at exceptional scale and diversity. Participants pick a published finding, replicate it using LAION-fMRI, and test whether it holds and generalizes. No new data collection is required, all data, preprocessed betas, and annotations are provided through our Python package. Anyone with an interest in neuroscience can participate in teams of 1 - 3 researchers. From the PI that wants to get their hands dirty again to the master's student looking for a thesis project. We advise that at least one member of your replication team has experience with fMRI analysis. Why participate? - Be part of the consortium paper — every team that submits a valid report is given the chance to co-author the final publication. - Compete for cash prizes: a $2,500 Replication Award, a $2,500 Generalization Award, and a $1,000 Facilitator Award. Key dates: - Sign-up & proposal: by September 15th 2026 - Report submission: by February 15th 2027 You can learn more, browse suggested studies, and sign up at re-vision-initiative.org. Please feel free to forward this to colleagues or students who might be interested. Kind regards the re:vision team re:vision team: Luca Kämmer, Justus-Liebig-University Gießen & Max Planck Institute CBS Josefine Zerbe, Justus-Liebig-University Gießen & Max Planck Institute CBS Johannes Roth, Justus-Liebig-University Gießen & Max Planck Institute CBS Alessandro Gifford, Freie Universität Berlin Apurva Ratan Murty, Georgia Institute of Technology Iris Groen, Amsterdam University Michael Bonner, Johns Hopkins University Margaret Henderson, Carnegie Mellon University Radoslaw Cichy, Freie Universität Berlin Martin Hebart, Justus-Liebig-University Gießen & Max Planck Institute CBS

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