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Postdoc and PhD student position at EPFL about investigating human locomotion using neuromechanical simulations and humanoid robots
by Auke Ijspeert May 16, 2026

May 16, 2026

*Postdoc and PhD student position for a project investigating and leveraging the neuromechanics of human locomotion using humanoid robots (Fall 2026)* The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/) at EPFL (Lausanne, Switzerland) has one Postdoc and one PhD student position for a project aiming at investigating and leveraging the neuromechanics of human locomotion using humanoid robots. See https://www.epfl.ch/labs/biorob/openings/ The objectives of the project are (1) to investigate the principles of healthy and pathological human locomotion using numerical models (neuromechanical simulations), and (2) to use insights from biology to develop bio-inspired locomotion controllers to be used together with reinforcement learning on humanoid robots. *Background:* The versatility of human locomotion is still not well understood from a neuroscience point of view nor well replicated in humanoid robots. In particular, the interactions between higher centers (e.g. the motor cortex), the spinal cord and the musculoskeletal system are poorly understood. The goal of this project is to develop a computational architecture that (i) integrates both spinal cord circuits and supraspinal control; (ii) uses deep reinforcement learning for supraspinal planning and learning, (iii) allows testing hypotheses about human motor control and pathologies at a conceptual level, and (iv) can serve as basis for controlling and learning versatile motor skills in humanoid robots. *Requirements:* The goal would be to hire one researcher with a background in computational neuroscience (idealy with experience in numerical models of human locomotion) and one researcher with a background in robotics (ideally with expertise in the control of legged or humanoid robots). The ideal candidates should also have strong backgrounds in math and programming, and an interest in interdisciplinary research. *Deadline and starting date:* Applications will be considered starting from now on, and then continuously until the position is filled. A good starting date would be *September 2026.* *Application: *See https://www.epfl.ch/labs/biorob/openings/ -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert (he/him) Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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NeuroAI Research Scientist / Machine Learning Engineer — University of Rome Tor Vergata × Tether.io
by nicola toschi May 15, 2026

May 15, 2026

Dear Comp Neuro community, We are looking for a highly motivated NeuroAI Research Scientist / Machine Learning Engineer to join a collaborative research effort between the University of Rome Tor Vergata and Tether.io<https://Tether.io> The position sits at the intersection of computational neuroscience, machine learning, foundation models, and brain-computer interfaces. The work will focus on developing open, reproducible methods for encoding and decoding brain activity from invasive and non-invasive neural recordings, including fMRI, EEG/MEG, ECoG, iEEG, and related data modalities. The successful candidate will contribute to projects involving neural decoding and encoding, multimodal representation learning, generative reconstruction of images, music, speech and other perceptual content, cross-subject and cross-modality alignment, and the study of how brain activity maps onto the latent spaces of modern vision, language, and audio foundation models. We are particularly interested in candidates with a background in machine learning, computational neuroscience, neuroimaging, signal processing, physics, computer science, engineering, or related quantitative fields. Strong Python and deep-learning experience, especially with PyTorch, JAX, or TensorFlow, is expected. Experience with real neural data and/or modern generative and representation-learning models is highly valued. The role offers the opportunity to contribute to high-impact publications, open-source tools, international collaborations, and ongoing research at the interface of AI, neuroscience, and neural interface technologies. Remote-friendly arrangements may be possible depending on the role and project needs. The LinkedIn announcement is available here: https://www.linkedin.com/feed/update/urn:li:activity:7461095365547741184/ To apply, please send a CV, a brief statement of research interests, and optionally 1–2 representative publications, projects, or GitHub links to: nicola.toschi(a)uniroma2.eu<mailto:nicola.toschi@uniroma2.eu> and matteo.ferrante(a)tether.io<mailto:matteo.ferrante@tether.io> Best regards, Nicola Toschi Prof. Nicola Toschi Scholar Profile<https://scholar.google.com/citations?hl=en&user=kyI6AJ8AAAAJ&view_op=list_w…> | Lab Website<https://fismed.uniroma2.it/> | Bookable Time<https://calendar.app.google/vXmx4XiWRvkf23XQ7> | LinkedIn<https://www.linkedin.com/in/nicola-toschi-5680923/> Full Professor of Medical Physics Medical Physics Section - Department of Biomedicine and Prevention University of Rome "Tor Vergata" Via Montpellier 1 - 00133 Rome (IT) Email: toschi(a)med.uniroma2.it<mailto:toschi@med.uniroma2.it> Research Staff, Investigator A.A. Martinos Center for Biomedical Imaging - Harvard Medical School/MGH 149 13th street, 02129 Boston (MA), USA Email: nicola(a)nmr.mgh.harvard.edu<mailto:nicola@nmr.mgh.harvard.edu>

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Call for contributed talks: CNS*2026 Information Theory Workshop
by Marilyn Gatica May 14, 2026

May 14, 2026

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience <https://jlizier.github.io/CNS2026-InfoTheoryWorkshop/> will be held once again as part of the 35th Annual Computational Neuroscience Meeting ( CNS*2026 <https://www.cnsorg.org/cns-2026>), in Halifax, Canada. The full CNS*2026 conference will take place from July 11–15, 2026, with workshops held on July 14–15, 2026. Our confirmed and tentatively confirmed *invited speakers *so far include: - Demian Battaglia, CNRS / University of Strasbourg, France - Marilyn Gatica, Northeastern University London, UK - Jaroslav Hlinka, Czech Academy of Sciences, Czech Republic - Joseph Lizier, The University of Sydney, Australia - Patricio Orio, Universidad de Valparaíso, Chile - Maria Pope, Indiana University, USA - Thomas Varley, University of Vermont, USA - ...more TBA! We would like to *call for contributions* to talks. If you are interested in contributing a talk, please send a title and abstract to Joseph T. Lizier (joseph.lizier(a)sydney.edu.au) and Marilyn Gatica ( marilyn.gatica(a)nulondon.ac.uk) Earlier submissions and submissions from speakers from underrepresented groups will be prioritised. We will review submissions weekly starting May 25, and the call will remain open until all available slots have been filled. Please pay attention to the registration for CNS*2026 deadlines and fees, as workshop registration at least is required for attendance, and see our website <https://jlizier.github.io/CNS2026-InfoTheoryWorkshop/> <https://jlizier.github.io/CNS2026-InfoTheoryWorkshop/>for more details. We hope you will join us there! *Organising Committee:* Joseph T. Lizier, Chair, The University of Sydney, Australia Marilyn Gatica, Co-Chair, Northeastern University London, UK Demian Battaglia, CNRS / University of Strasbourg, France

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Master 2 computational neurosciences, Lyon (France)
by DI VOLO MATTEO May 13, 2026

May 13, 2026

Dear colleagues, Applications for EU students are now open for the Master 2 in Computational Neuroscineces<https://masterneuro.univ-lyon1.fr/m2-cns/> at the University of Lyon (France). The CNS program in Lyon trains students in modern computational and analytical methods to study the brain: from the electrical activity of single neurons to neural networks, interacting brain regions, and animal behavior. Students learn the principles of brain function by applying statistics, signal processing, and computational modeling to real neuroscientific datasets, gaining extensive hands-on experience through practical Python-based work. The main objective of CNS is to equip students with the skills and critical perspective needed to design, conduct, and interpret analyses of electrophysiological and behavioral data from a mechanistic point of view. Applications are done through the e-candidat platform <https://ecandidat.univ-lyon1.fr/#!accueilView> Best regards, Matteo Di Volo ---- Matteo Di Volo Professor, University Claude Bernard Lyon1 Co-Director Master 2 Computational Neurosciences https://masterneuro.univ-lyon1.fr/m2-cns/ Stem Cell and Brain Research institute INSERM, NEF team: https://sbri.fr/teams/neurobiology-of-executive-functions/ Personal website: https://matteodivolo.wordpress.com/

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NITMB Ideathon, August 10-12, 2026: Applications are open
by William L. Kath May 12, 2026

May 12, 2026

The National Institute for Theory and Mathematics MathBio Ideathon will take place August 10–12, 2026 in Chicago! The goal of this workshop is to bring together researchers with interests at the interface of biology and mathematics to tackle unsolved problems through interdisciplinary collaboration. Participants will share their expertise via lightning talks and form vertically integrated teams (PIs and trainees) around the most promising ideas. The teams will tackle these problems and formulate actionable research plans. Teams will have the opportunity to continue their work to solve these problems at a later date through NITMB's Focused Research Award Program. Here is a link to more information: https://www.nitmb.org/nitmb-mathbio-ideathon A application form for the workshop is available on the website. Applications close Monday, June 8th. Participation is limited to approximately 40 people. We are looking for people who know of interesting unsolved problems at the interface between mathematics and biology (or who would like to learn about them) and who will be fully engaged and actively contribute throughout the workshop — starting with initial discussions and team formation to the development of collaborative research plans and beyond. This may be of particular interest to early-career researchers, including postdocs and graduate students, who are looking for new topics to add to their research portfolios. We will cover travel and accommodation for selected participants. We also provide meals while people are engaged at the NITMB (typically breakfast and lunch). We look forward to the possibility of having you join us in Chicago! Best regards, - Bill Kath

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Workshop on Theory of Neuromorphic Computing, Liverpool UK, 9th June 2026
by john.sylvester＠liverpool.ac.uk May 12, 2026

May 12, 2026

Dear All, We invite you to a workshop Theory of Neuromorphic Computing Date: 9 June 2026 with the first talk starting at 11am Location: School of Computer Science and Informatics, Ashton Building, University of Liverpool Website: https://neuromorphic-theory.github.io Cost: Free (but registration required, see webpage) Neuromorphic computing is a computing paradigm inspired by biological neural systems. It is based on spiking, event-driven architectures in which memory and computation are closely integrated. Neuromorphic chips have already shown several promising advantages over conventional von Neumann architectures, particularly in terms of energy efficiency. This workshop will explore the theoretical foundations of neuromorphic computing, with a focus on algorithms and computational complexity. Although the hardware has developed rapidly, the theory has not kept pace. Our aim is to create a forum for discussion on rigorous models of neuromorphic systems, allowing researchers to study their computational power and compare them with classical models of computation. These models must capture not only time and space, but also energy-related resources such as spikes and synaptic operations. Many thanks, John Sylvester & David Purser

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World wide VVTNS series (6th season): Mean-field dynamics in networks with clustered connectivity and dendritic nonlinearities | Gabriel Ocker, Boston University | Wednesday, May 13, 2026, at 11:00 am ET
by David Hansel May 10, 2026

May 10, 2026

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Gabriel Ocker Boston University on the topic of Mean-field dynamics in networks with clustered connectivity and dendritic nonlinearities The lecture will be held on Zoom on May 13, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Networks of interconnected neurons display diverse patterns of activity. Relating these patterns to the structure of the network is a central goal of theoretical neuroscience. Classic neural field and rate models have been powerful tools for this purpose due to their analytical tractability. Here, we show that the recently-developed combinatorial threshold-linear network (CTLN) model is a mean-field theory for excitatory-inhibitory Hawkes networks, with clustered connectivity, in an inhibition-stabilized regime. This mapping allows us to leverage powerful analytical results for CTLN networks to predict diverse macroscopic dynamics of clustered Hawkes networks, including metastability between various macroscopic fixed points, limit cycles, and chaotic attractors. We will then examine an extension of this approach to models with nonlinear dendritic dynamics, focusing on dendritic calcium spikes.We uncover a marked point process mean-field theory for these networks and use this to examine how somatic vs dendritic-targeting connectivity shapes the mean-field equilibrium phase diagram. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ

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Human-AI Workshop at IJCAI 2026
by Guozhang Chen May 7, 2026

May 7, 2026

Dear colleagues, I am pleased to announce that our proposal for the Human-AI Workshop at IJCAI 2026 has been accepted. Workshop website: https://hbai2026.github.io/ Date: One day between August 16–21, 2026 Place: Bremen, Germany Paper submission link: https://openreview.net/group?id=ijcai.org/IJCAI-ECAI/2026/Workshop/HBAI Submission deadline: May 15, 2026 Please share this information within your networks. Thank you for your support. Best regards, Guozhang Chen Assistant Professor School of Computer Science Peking University

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Postdoctoral Position in Human Brain–Computer Interfaces
by João Barbosa May 6, 2026

May 6, 2026

Dear all, The Neuromodulation Institute (Paris) invites applications for a Postdoctoral Researcher position (full-time, 2-year contract with the possibility of extension) to join a human brain–computer interface project led by Philippe Domenech <http://computationalbrainteam.com/en/people> (Neuromodulation Institute, Paris) in direct collaboration with João Barbosa <http://jbarbosa.org/> (Neuromodulation Institute, Paris) and Guillaume Bellec <http://guillaume.bellec.eu/> (Technical University of Vienna). The work will be carried out in the center of Paris and the newly created Neuromodulation Institute. The position is available immediately and will remain open until filled. About the Project This position is part of an interdisciplinary collaboration involving computational neuroscientists, clinicians, and engineers. The goal is to establish model-driven, multi-site stimulation experiments in human patients and move towards novel therapies for psychiatric disorders through the control of human brain dynamics via closed-loop stimulation. As an initial step toward these broader goals, the postdoctoral researcher will work with electrophysiological data collected from epilepsy patients implanted with ~124 intracranial LFP electrodes, enabling simultaneous recording and multi-site stimulation. We already collected several datasets (open-loop) and up to 4 subjects are collected per month through a national network of clinicians. The work carried out by the successful applicant will sit at the intersection of machine learning, computational neuroscience and data analyses of human intracranial electrophysiology. The medium-term ambition is to expand this work to additional patient populations, including individuals with treatment-resistant major depression and obsessive-compulsive disorder, and to incorporate recording techniques such as large-scale multi-unit activity and sub-second neuromodulation (e.g. dopamine, serotonin, noradrenaline, etc) detection using ML-augmented voltammetry. Key responsibilities include developing data-driven state-space models of neural dynamics for optimal control policies for stimulation as well as inference pipelines for predicting network responses of intracranial recordings. The position emphasizes computational modeling, theory, and algorithmic development, rather than hands-on experimental data collection. Candidate Profile We are seeking a highly motivated candidate with strong quantitative and computational skills, and demonstrated research experience in at least one of the following areas: machine learning, simulation-based inference, reinforcement learning, generative/diffusion models and dynamical systems. Required Skills and Experience - Strong scientific programming skills in Python, in particular proficiency in PyTorch, Jax or related - Demonstrated experience in machine learning - Excellent written and spoken English. - Direct experimental experience is not required. However, the successful candidate should be enthusiastic about interacting with clinicians, neurosurgeons, and patients during experimental planning and execution. Preferred but not required - Experience working with time series data, in particular intracranial recordings (LFP, ECoG, depth electrodes) in humans or other animals. We strongly encourage applications from individuals that are underrepresented in academia. What We Offer - Opportunity to contribute to multiple ongoing projects at the forefront of human intracranial research - A highly interdisciplinary research environment spanning computational neuroscience, machine learning and cognitive neuroscience - A collaborative lab culture with close mentorship from senior investigators. - Support for career development, including opportunities to co-supervise students, present at conferences and workshops - Paris has an increasingly tight network of systems and computational neuroscience and offers many possibilities for collaborations How to apply Please send a statement of your past work and future research interests (one page each), CV and at least one manuscript demonstrating required experience to palerma(a)gmail.com with the subject “Postdoctoral Position in Human Brain–Computer Interfaces”. Joao Barbosa

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OPM-FLUX Toolkit 2026 - Register now!
by Evgeniya Anisimova May 5, 2026

May 5, 2026

Dear all, We are delighted to announce that the OPM-FLUX toolkit will be held on the 13th-16th July 2026 at St. Catherine’s College at the University of Oxford! We encourage everyone who is interested in OPM-MEG data analysis to apply (ECRs and more senior researchers and clinicians included!). The OPM-FLUX toolkit course provides a comprehensive introduction to analysing OPM-MEG data using OPM-FLUX, an advanced analysis pipeline for human electrophysiological data. Originally designed for SQUID-based MEG, the FLUX pipeline has been adapted for OPM-MEG. While OPM-MEG offers exciting opportunities in cognitive and clinical neuroscience, analysing its data can be challenging due to technical complexities and a lack of standardised methods. To meet the increasing demand for accessible training in this area, we have developed the FLUX toolkit, built on MNE-Python, a leading MEG analysis toolbox. Participants will be taught the theoretical foundations of OPM sensors and human electrophysiology and gain practical experience with OPM FLUX. In the mornings we will have lectures on the basics of data analysis as well as examples on novel cognitive neuroscience research-based MEG or OPM-MEG. In the afternoon, we will have hands-on data analysis workshops applying the OPM-FLUX pipeline on a data set collected from the local OPM systems. Will cover the analysis of FieldLine as well Cerca/QuSpin data. The analysis sections will include the BIDS format, preprocessing, event-related fields, spectral analysis, source modelling, and multivariate pattern analysis. We will not provide hands-on training on the actual data acquisition, but we will outline the general steps required. For details and registration please see https://www.neuosc.com/fluxtoolkit2026 or contact me at jenny.anisimova(a)psych.ox.ac.uk<mailto:jenny.anisimova@psych.ox.ac.uk>. The registration will be open until 9 AM (BST) on the 15th of May 2026. We look forward to receiving your application! All the best, The Neuronal Oscillations Team www.neuosc.com<http://www.neuosc.com/>

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