- Comp-neuro - lists.cnsorg.org

Open Research Positions at NeuroAI start-up Natural Intelligence
by Natural Intelligence Aug. 6, 2026

Aug. 6, 2026

Dear all, *Natural Intelligence (NISYS GmbH)* is a deep-tech startup at the intersection of neuroscience and machine learning, founded by *Prof. Wolf Singer* and *Dr. Felix Effenberger*. We translate cutting-edge neuroscientific insight into robust, efficient next-gen AI: oscillatory recurrent architectures, self-organization, and learning rules that go beyond backpropagation, implemented in novel analog hardware platforms. We've closed a multi-million euro seed round, securing our funding for the coming years, and are currently building out our core R&D team. *Open roles:* full-time, on-site (Frankfurt), initially 3 years, several openings each: • *Research Lead* - own a research direction and lead a group of scientists. • *Senior Research Scientist* - design and test novel recurrent architectures from biological principles. The call for applications will remain open until early September 2026. We expect to review applications after the call closes and aim to get back to candidates in mid to late September. Full job descriptions at: www.nisys.ai Send applications and questions to hello(a)nisys.ai. Please pass this on to anyone who you think could be a good fit. -- Dr. André Ferreira Castro Head of Research Operations Natural Intelligence (NISYS GmbH)

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Call for Papers and Demos: NeurIPS 2026 Workshop on Foundation Models for the Brain and Body
by Nanda Harishankar Krishna Aug. 5, 2026

Aug. 5, 2026

We are pleased to announce the second edition of the “Foundation Models for the Brain and Body <https://brainbodyfm-workshop.github.io/>” workshop at NeurIPS 2026 in Sydney, Australia. The workshop brings together researchers at the intersection of biosignals, neuroscience, machine learning, and embodied intelligence. We invite submissions of short papers on novel research in neuroscience, biosignal analysis, machine learning, and embodied AI, with a focus on foundation models and representation learning for neural, physiological, and behavioral data. We also invite interactive demo proposals showcasing novel methods, devices, systems, or applications. We broadly define biosignals as any temporal signal directly or indirectly generated by the brain or body. This includes neural recordings such as EEG, MEG, and multi-electrode arrays; physiological signals such as heart rate, respiration, and EMG; and behavioral signals such as pose, gaze, and movement. Submissions may focus on methods, applications, or theoretical insights that advance our understanding and modeling of neural, physiological, and behavioral signals in humans and animals. We particularly encourage work on scalable foundation models that generalize across tasks, subjects, modalities, or domains. Relevant topics include, but are not limited to: • Large-scale pretraining on neural or physiological signals • Scaling laws for biosignal foundation models • Brain-computer interfaces and neural decoding • Transfer learning across recording modalities • Cross-subject and cross-task generalization • Few-shot, zero-shot, and continual learning • Multimodal integration of biosignals • Wearable technology and real-world deployment • Modeling behavioral signals such as pose, gaze, and movement • Foundation models for movement, motor control, and EMG • Embodied intelligence and sensorimotor representation learning • Closed-loop and interactive systems, including BCI control and assistive robotics • Scaling techniques from robotics and control applied to biosignal modeling • Applications to health and clinical diagnosis • Interpretability of biosignal representations • Synthetic data generation and augmentation • Human-AI collaboration for signal interpretation and labeling • Open datasets, benchmarks, and model evaluation • Evaluation protocols and standardized benchmarks across modalities • Reproducibility and standardized reporting *Important Dates (AoE)* • Paper Submission Deadline: *September 4, 2026* • Demo Submission Deadline: *September 19, 2026* • Paper Author Notification: September 29, 2026 • Workshop Date: December 11 or 12, 2026, in Sydney, Australia Stay tuned for announcements about our invited speakers, panelists, and workshop schedule. For submission details and more information, please visit: https://brainbodyfm-workshop.github.io/

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Wu Tsai Institute Postdoctoral Fellowships for interdisciplinary and computational neuroscience and cognitive science
by Guerrero-Medina, Giovanna Aug. 4, 2026

Aug. 4, 2026

The Wu Tsai Institute Postdoctoral Fellowships<https://wti.yale.edu/initiatives/postdoctoral> are open to applications! We welcome early-career scientists interested in interdisciplinary research to advance fundamental understanding of cognition. The program offers a generous salary ($80,000) for up to 3 years, discretionary funds and funding opportunities, access to cutting-edge facilities, protected time for professional development, structured mentoring, and a welcoming and inclusive community of trainees. International applicants are welcome. Applicants may propose to be co-mentored by Wu Tsai Faculty Members from different disciplines; work with a single mentor while transitioning to a new field; or propose self-directed computational or theoretical projects with flexible mentoring arrangements. The deadline for applications is October 1st. Candidates can find more information and application instructions here: https://wti.yale.edu/initiatives/postdoctoral Giovanna Guerrero-Medina, PhD [A button for name playback in email signature] <https://www.name-coach.com/giovanna-guerrero-medina> She/Her/Ella Asst. Director for Professional Development & Community Wu Tsai Institute<http://wti.yale.edu/> Yale University

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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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