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Postdoctoral Opportunity Zukunftskolleg
by Ahmed El Hady Aug. 10, 2026

Aug. 10, 2026

*_Four 2-year Postdoctoral Fellowships at the Zukunftskolleg_* (Full-time, E 13 TV-L) *Reference No: 2026/138 The preferred start date is April 1st, 2027. Conditionally on the submission of an external grant proposal, the position may be extended for an additional year. * The University of Konstanz is a dynamic and internationally successful research university with approximately 10,000 students. The campus university’s architecture promotes interdisciplinary cooperation and a sense of community among researchers, lecturers and students. The University has been continuously funded by the German Excellence Strategy since 2006. The /Zukunftskolleg/ is an Institute for Advanced Study for early career postdoctoral researchers in the natural sciences, humanities and social sciences. The /Zukunftskolleg offers postdoctoral researchers/ Independence for their research, interdisciplinary and intergenerational exchange as well as intra-university integration and international contacts. The working language is English. Each fellow is a member of both a university department and the Zukunftskolleg. Additionally, fellows of the Zukunftskolleg can be affiliated to the Cluster of Excellence at the University of Konstanz: *"Politics of Inequality <https://www.exc.uni-konstanz.de/en/inequality/>"* or "*Centre for the Advanced Study of Collective Behaviour*" <https://www.exc.uni-konstanz.de/collective-behaviour/about-us/open-position…>. The target group consists of excellent early career postdoctoral researchers who demonstrate scientific excellence, research independence, and a strong capacity for teamwork, indicating high potential for a successful academic career The applications are evaluated in a two-stage process by international reviewers. The candidates will be informed about the decision around mid-February 2027. /I am happy to discuss potential projects, for those interested to apply, on the interface of computational sciences, theoretical physics and collective behavior and application of these approaches to the myriad of collective behavior data available in Konstanz. /Please drop an email to ahmed.el-hady(a)uni-konstanz.de All details can be found here: link: https://stellen.uni-konstanz.de/jobposting/47ea117d40ac0aa2409ab5ecf4ed18ee… All the best regards, Ahmed Dr. Ahmed El Hady Research Group leader Centre for Advanced Study of Collective Behavior University of Konstanz Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 ,Postbox 687  

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PostDoc - development of visual object representations, EEG/fMRI, University of Regensburg, Germany
by Moritz Köster Aug. 7, 2026

Aug. 7, 2026

POSTDOC (3 years, full time, no teaching) Institute of Psychology, University of Regensburg, Germany The group of Moritz Köster at the Institute of Psychology studies the neurocognitive foundations of early brain development. Within a project funded by the German Research Foundation (DFG), we are looking for a postdoctoral researcher to join our group. The project investigates the functional role of rhythmic brain activity in early development, following the trajectory from integrating novel information and building visual object representations in infancy towards efficient processing in mature cortical networks. We address this across age groups, using newly developed learning paradigms and by relating EEG to fMRI data through representational similarity analyses. Within the project we collaborate with Rhodri Cusack (Trinity College Dublin, infant awake fMRI) and Radoslaw M. Cichy (Freie Universitaet Berlin, EEG/fMRI fusion). Work on the analyses can start immediately on the basis of first datasets, and there is ample room to bring in your own ideas and research questions. Your role: - Analysis of EEG and fMRI datasets on the development of visual representations computational neuroscience, in infants, children and adults - Supervision of data assessments - Publishing in international peer-reviewed journals and presenting at conferences - Opportunity to co-supervise PhD students and to contribute to grant proposals Requirements: - Excellent PhD in psychology, cognitive science, neuroscience, computational neuroscience, biology or a related discipline (completed or submitted) - Very good analytic and programming skills (MATLAB, Python) - Experience with M/EEG and/or fMRI analysis, ideally including time-frequency analyses, multivariate methods and computational modelling - Publications in (developmental) cognitive neuroscience - Excellent command of written and spoken English; German is welcome but not required We offer a three-year full-time position with no teaching load, paid according to the German public sector scale TV-L E 13, considerable freedom to pursue your own questions, an international and collaborative environment, and collaborations on state-of-the-art assessment methods in infancy research - high-density EEG, fMRI, OPM-MEG and VR. Regensburg is a UNESCO World Heritage city in Bavaria with a compact campus university and a high quality of living. For further information and informal inquiries, please contact moritz.koester(a)ur.de. To apply, please send a single PDF (CV including publication list, a brief motivation letter, certificates, and the names and contact details of three academic referees) to sekretariat.koester(a)ur.de by September 15, 2026. The University of Regensburg explicitly encourages applications from qualified women. In case of essentially similar suitability, applicants with severe disabilities will be preferentially selected. Here <https://karriere.uni-regensburg.de/jobposting/7e9b5fc8c44d1827c69d372ba8fb3…> is a link to the original job advert --- Prof. Dr. Dr. Moritz Koester Institute of Psychology, University of Regensburg moritz.koester(a)ur.de

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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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Deadline Extended to August 12 – Call for Extended Abstracts – WWIN 2026 Workshop @ SAB 2026
by Mehdi Khamassi Aug. 6, 2026

Aug. 6, 2026

(Apologies for cross-posting) Dear colleagues, We are pleased to announce that the submission deadline for the first international workshop *“Wanting What is Needed: From Homeostatic Control to Adaptive Behavior”*has been extended to *August 12, 2026*. The workshop will be held on October 19 in Berlin, Germany, as part of The 18th International Conference on the Simulation of Adaptive Behavior (SAB 2026). Workshop website:https://wwin-workshop.github.io/sab2026 <https://wwin-workshop.github.io/sab2026>Keywords (including but not limited to): internal states, homeostasis, allostasis, reinforcement learning, decision making, robotics, adaptive behavior ====================================== 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) ====================================== Important dates ====================================== * Extended Abstract Submission Deadline: August 12, 2026 * Notification of Acceptance: August 19, 2026 * Workshop Date: October 19, 2026 (afternoon) We welcome contributions from researchers working across the biological and artificial sciences and look forward to receiving your submissions. Best regards, Mehdi Khamassi CNRS / Sorbonne Université On behalf of the organizing committee: Naoto Yoshida — Kyoto University Ismael Freire — Sorbonne Université Boris Gutkin — École Normale Supérieure Henning Sprekeler — Technical University of Berlin Louis L’Haridon — ENSEA / CNRS Lola Cañamero — CY Cergy Paris University Mehdi Khamassi — CNRS / Sorbonne Université -- Mehdi Khamassi, PhD, HDR Research director (DR2), Centre National de la Recherche Scientifique Institute of Intelligent Systems and Robotics, Sorbonne Université ISIR - BC 173, 4 place Jussieu, 75005 Paris, France phone: +33 6 50 76 44 92 email:mehdi.khamassi@sorbonne-universite.fr https://pages2.isir.upmc.fr/mkhamassi/ Co-director of the master's program in cognitive science (https://cog-sup.fr) Sorbonne Université / Université Paris Cité Visiting Researcher at the Institute of Communication and Computer Systems National Technical University of Athens, Greece https://robotics.ntua.gr/people/

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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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