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🧠 [Meetings] [CFP *Deadline Extension*] IEEE SMC 2026 Workshop - NeuroWearX for Empowered Co-Intelligence: Advancing Human–Machine Interfaces by Integrating Biological, Physical, and Spatial Intelligence with Generative AI

by NeuroWearX

Call for Papers (Deadline Extended to: April 19) 2026 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2026) https://www.ieeesmc2026.org/ IEEE SMC Workshop: NeuroWearX for Empowered Co-Intelligence: Advancing Human–Machine Interfaces by Integrating Biological, Physical, and Spatial Intelligence with Generative AI https://www.ieeesmc2026.org/Content/3015153.html Overview Wearables, assistive robots, and smart IoT systems are rapidly becoming part of everyday life. However, many of today’s wearable computing and human–machine interfaces still feel “smart, yet not quite helpful.” They are often fragmented, difficult to personalize, and frequently struggle to transform rich but noisy multimodal signals, such as physiology (e.g., heart rate, neural/muscle activity), body movement, and environmental context, into reliable, meaningful real-world support. At the same time, generative AI and foundation/world models are reshaping the landscape, shifting the paradigm beyond isolated sensors and single-purpose algorithms toward integrated, adaptive, context-aware Human–AI–Machine systems. To make the use of these technologies feel like a natural extension of ourselves, this workshop brings together researchers and practitioners across biosensing and measurement, neuroscience, AI, robotics, ubiquitous computing, and human-centered design to define the next frontier of Empowered Co-Intelligence: wearable interfaces that fuse three complementary “intelligences”—(1) biological intelligence, to infer human state and intent by modeling how people naturally think and behave; (2) physical/embodied intelligence, which understands body dynamics and real-world physics so interaction and assistance remain safe and effective; and (3) spatial intelligence, to leverage nearby sensors, IoT devices and smart environments for continuous situational awareness. These capabilities are further amplified by generative AI—models trained on large-scale data that can integrate heterogeneous signals to predict, reason, and adapt—enabling systems to become more personalized and context-aware. Together, these capabilities can overcome the limits of noisy on-body sensing and constrained wearable computing by turning fragmented measurements into coherent, actionable assistance. Our vision is an AI that operates quietly in the background, like an invisible layer of artificial cortex, running in parallel with our own cerebral cortex and coordinating across different lobes: not simply following rules, but learning your patterns, anticipating your needs, and adjusting in real time. The result is 24/7 support for thinking, decision-making, and physical action that feels intuitive, seamless, and requires minimal cognitive effort. Beyond new algorithms, we also emphasize human-centered evaluation, trust, accessibility, and inclusive augmentation, with the goal of accelerating research that advances wearable computing into reliable, scalable, and equitable systems—technologies that truly co-evolve with users over time. Topics of Interest We welcome research papers, short/WiP papers, and position/vision papers on (but not limited to) the following areas aligned with multimodal perception–decision–action cycles, shared autonomy, personalization, safety, and real-world robustness on wearable technologies. (A) Biological intelligence: sensing human state & intent ● Multimodal biosensing: EEG/EMG/ECG/EDA/PPG/respiration, inertial + physiological fusion ● Robust biosignal decoding in-the-wild: drift handling, motion artifacts, missing data, calibration-free methods ● Intent recognition and user-state estimation (fatigue, stress, attention, readiness, motor intent) ● Personalized adaptation across users: domain adaptation, continual learning, few-shot personalization ● Privacy-preserving on-body learning and secure biosignal pipelines (B) Physical intelligence: embodied assistance & safe action ● Embodied AI for wearable augmentation: biomechanics, dynamics, control, and safe shared autonomy ● Wearable robotics and human–robot physical interaction (exoskeletons, prostheses, assistive devices) ● Safety, stability, and fail-safe design in closed-loop wearable control ● Human factors and ergonomics for physical assistance; workload-aware support ● Verification/validation of embodied policies for assistive wearable systems (C) Spatial intelligence: context from environments, robots & smart IoT ● Context-aware wearable computing using smart environments, robots, and IoT integration ● Scene understanding for assistance: activity context, objects, layout, hazards, and social context ● Multi-device sensing orchestration (wearable + phone + AR + ambient sensors) ● Real-world robustness and interoperability across heterogeneous devices (D) Generative AI & foundation/world models for wearables ● Generative AI / foundation models for wearable time-series, biosignal representation learning, multimodal fusion ● World models for prediction, planning, and co-adaptation in human-centered wearable interaction ● Edge/on-body inference: efficiency, compression, distillation, and low-power deployment ● Uncertainty-aware assistance, reliable decision-making, and “AI-in-the-background” support (E) Human-centered NeuroDesign, evaluation & impact ● Human-centered interface design: intuitive/subconscious interaction, trust, transparency, explainability ● UX evaluation in real-world settings: accessibility, equity, inclusive augmentation ● Ethical, privacy, and governance considerations for always-on wearable intelligence ● Application domains: assistive augmentation, rehabilitation, health monitoring, everyday support Submission Instructions ● Submission Deadline (EXTENDED): April 19, 2026 ● Submission site at 2026 IEEE International Conference on Systems, Man, and Cybernetics (Papercept): https://conf.papercept.net/conferences/scripts/start.pl ● Submission code: dt3i1 (Use the submission code "dt3i1" during the Papercept submission process to route your paper to this workshop.) ● Please follow the IEEE SMC 2026 submission guidelines and formatting requirements. IEEE SMC 2026 submission guidelines: https://www.ieeesmc2026.org/call-for-papers Best regards, Organizing Committee 🧠 NeuroWearX Workshop @ IEEE SMC 2026 Website: https://www.ieeesmc2026.org/Content/3015153.html Email: info.neurowearx(a)gmail.com

March 31, 2026

Call for applications: School on Computational approaches in systems neurophysiology (Rome, Italy – June 16-18, 2026)

by Andrea d'Avella

Applications will open on April 8 for the XXVIII *School of Physiology and Biophysics <https://www.fisiologiaitaliana.org/scuola_fisiologia.php>* on *Computational approaches in systems neurophysiology* organized by the *Italian Physiological Society *(SIF), which will be held from *June 16 to June 18, 2025*, in *Rome, Italy*. Here you can find the announcement <https://www.fisiologiaitaliana.org/_docs/260330_SIF_SchoolofPhysiologyandBi…> and th program <https://www.fisiologiaitaliana.org/_docs/260330_SIF_SchoolofPhysiologyandBi…>. Enquires: sif.sfb.2026(a)gmail.com Application deadline: *May 4, 2026* The school is organized by a team of neurophysiologists from the University of Rome Tor Vergata, coordinated by Francesco Lacquaniti. The program includes an opening lecture introducing the rationale for computational approaches in systems neurophysiology, followed by a series of eight thematic lectures covering topics such as computational analysis of human locomotion, muscular and kinematic synergies, vestibular system computation, eye-movement analysis, structural and functional MRI, psychophysical modeling, and quantitative neuromodulation. These lectures are complemented by four keynote lectures addressing neural coding of joint action, multiscale brain modeling and digital twins, machine-learning approaches to spinal pattern generators, and multimodal quantitative neurophysiology applied to neurostimulation. Most lectures are accompanied by hands-on tutorials, during which participants will analyze real experimental datasets using MATLAB and R, with sample datasets and analysis scripts provided. Throughout the course, tutors will be available to support participants, encourage discussion, and facilitate scientific interaction with the lecturers. Best regards, Andrea d’Avella and the Organizing Committee -- Andrea d'Avella, Ph.D. Professor of Physiology Department of Biology University of Rome Tor Vergata, Rome, Italy Team leader Laboratory of Neuromotor Physiology IRCCS Fondazione Santa Lucia, Rome, Italy -- <http://www.hsantalucia.it/5x1000-sostieni-la-nostra-ricerca> Le informazioni contenute in questo messaggio e negli eventuali allegati sono riservate e confidenziali. Il loro utilizzo è consentito esclusivamente al destinatario del messaggio, per le finalità indicate nel messaggio stesso. Qualora Lei non fosse la persona a cui il presente messaggio destinato, La invitiamo ad eliminarlo dal Suo sistema ed a distruggere le varie copie o stampe, dandocene gentilmente comunicazione. Ogni utilizzo improprio e'contrario ai principi del D.Lgs. 196/2003 e del Regolamento UE 2016/679. The information contained in this message as well as the attached file(s) is confidential/privileged and is only intended for the person to whom it is addressed. If the reader of this message is not the intended recipient or the employee or agent responsible for delivering the message to the intended recipient, or you have received this communication in error, please be aware that any dissemination, distribution or duplication is strictly prohibited, and can be illegal. Please notify us immediately and delete all copies from your mailbox and other archives. *Rispetta l'ambiente: se non ti è necessario, non stampare questo messaggio - Please consider the environment before printing this email.*

March 30, 2026

Deadline approaching: Workshop of Ideas in Neuroscience - What is a neuron?

by Mateusz Kostecki

Hello! We would like to remind you that the deadline to apply for our workshop - What is a neuron? - is due tomorrow, April 2nd! The goal of this series is to take a fresh look at the basic assumptions held in our field. In the first workshop, we will ask the most fundamental question: *What is a neuron? *What properties should a cell have to be defined as such? An answer to this question may seem obvious at first: it has to be a cell that uses electrical signals, is connected to other neurons by synapses, and has extended processes—axons and dendrites. But the deeper we dig, the more challenging counterexamples we encounter: clearly non-neural cells using action potentials; neurons without axons or dendrites; or whole nerve nets in jellyfish that form a syncytium. And what defines a neuron during development, and how do its developmental pathways differ from those of other cells? Can we draw clear boundaries between neural and non-neural states? Things are no easier in an artificial neural network: what exactly is a processing unit in an ANN? How does it correspond to a biological neuron, and what can we learn from these models? The aim of this workshop is to look closely at different ways of defining a biological or artificial neuron and try to have a fresh look at our basic assumptions. This workshop will be held in the spirit of our Schools of Ideas—with an informal atmosphere, open exchange of thoughts and perspectives, in-depth talks, and plenty of space for discussion. Speakers: Clarisse Brunet (Institut Curie) Thibaut Brunet (Institut Pasteur) Bassem Hassan (Paris Brain Institute) Fred Keijzer (University of Groningen) Aneta Koseska (Max Planck Institute for Neurobiology of Behavior) Ines Samengo ( Instituto Balseiro) The workshop will be held Jun 3-5th 2026 in Paris. Please find more info and the application form here - https://nenckiopenlab.org/neuron/ With best wishes, Mateusz Kostecki -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

March 30, 2026

ICNCE 2026 - Abstract submission closes April 3rd!

by Abigail Morrison

Dear Colleagues, Here is a reminder about the second International Conference on Neuromorphic Computing and Engineering (ICNCE 2026). ICNCE 2026 will be held in Aachen, Germany, from June 28–July 2, 2026 (https://icnce-2026.de<https://icnce-2026.de/>). Note that the conference was extended one day (June 28) for tutorials! The call for abstracts is *still open for poster or oral contributions and closes on April 3 (AoE)*. Please submit a one-page PDF of your abstract according to the submission guidelines. You will be notified about the acceptance and the type of your contribution (poster or oral) by April 30. The submission guidelines can be found on the conference website. ICNCE brings together a community of researchers—from students and postdocs to leading experts in academia, startups, and industry—to advance the understanding and engineering of brain-inspired computing technologies. It will span the fields of electrical engineering, neuroscience, information technology, materials science, physics, artificial intelligence, philosophy, and ethics. The first ICNCE (2024) was a highly successful event that gathered over 500 participants across academia and industry. The location is the Eurogress Aachen, in the heart of the historic city of Aachen, with close connections to RWTH Aachen University and nearby Forschungszentrum Jülich. Submission details can be found here: https://iffindico.fz-juelich.de/event/28/abstracts/#submit-abstract You can also find this link and further information on our website (https://icnce-2026.de<https://icnce-2026.de/>). For any other questions, please write to info(a)icnce-2026.de<mailto:info@icnce-2026.de>. We look forward to welcoming you to Aachen! Abigail Morrison, on behalf of the Organizing Committee of ICNCE 2026 (Regina Dittmann, Bastian Leibe, Max Lemme, Abigail Morrison, Emre Neftci, John Paul Strachan) -- Prof. Dr. Abigail Morrison Computation in Neural Circuits Institute for Advanced Simulation (IAS-6) Jülich Research Center & Software Engineering Faculty of Computer Science RWTH Aachen http://www.fz-juelich.de/inm/inm-6 http://www.se-rwth.de Office: +49 2428 8097504 Fax # : +49 2461 61-9460 Pronouns: she/her ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

March 30, 2026

Deadline Extended – Full In-Person Advanced Neural Data Analysis and Neuroinformatics School (ANDA‑NI)

by Michael Denker

Deadline Extended – Full Advanced Neural Data Analysis and Neuroinformatics School (ANDA‑NI) still has availability (with In‑Person Retreat) Online: June 19-26, 2026 and June 22-26, 2026 In-person: July 27-31, 2026 FullSchool Application Deadline (new): April 12, 2026 We have a few spaces remaining for the *in‑person retreat*of the 2026 Advanced Neural Data Analysis and Neuroinformatics School (ANDA‑NI), a program designed for students and researchers in neuroscience who want to deepen their expertise in data analysis and neuroinformatics at the cellular and network levels (spiking activity, local field potentials). This *full ANDA‑NI program* includes both online modules ("ANDA" and "NI") and the in‑person retreat. *Why attend? *- Gain hands-on experience in analyzing and managing electrophysiological datasets that you bring to the school. - Master neuroinformatics techniques to facilitate reproducible, high-impact research. - Work closely with experts in the field. * Program Structure **of **ANDA-NI 2026:* *ANDA: Advanced Neural Data Analysis* (June 15–19, 2026) /Online/ – Dive into advanced topics in neural data analysis, including correlation analysis, population analysis, spectral methods, cortical variability and more. *NI: Neuroinformatics* (June 22–26, 2026) /Online/ – Focus on best practices for data management, sharing, and reproducibility. *ANDA-NI Retreat* (July 27–31, 2026) /In-person/ – Deepen your skills and collaborate intensively on your datasets (requires completion of ANDA & NI modules).* * *Who is this school for?:* Graduate students, postdocs, and researchers in neuroscience, computational neuroscience, and related fields. 🔗 *Apply now:* _https://andani.info_ /Limited spaces available/ We’d love to have you join us.

March 26, 2026

Research assistant post: neural computations of foraging decisions. University of Nottingham (UK)

by Mark Humphries (staff)

Mark Humphries’ lab<https://www.humphries-lab.org> at the University of Nottingham is seeking a research assistant to join a project on the neural computations of foraging decisions, in collaboration with the groups of Matthew Apps (Birmingham) and Nathan Lepora (Bristol). Whether choosing to leave one shop for another, switching TV programs, or seeking berries to eat, humans and other animals make endless stay-or-leave decisions, but how we make them is not well understood. The goal of this project is to find out if there is a common decision algorithm for leaving across species and what that algorithm is. You will create predictions for how foragers should vary in their stay-of-leave decisions for different types of decision algorithm, and test them using data from humans and rodents tackling foraging tasks. You will have some experience in computational modelling of behaviour, such as decision-making models or reinforcement learning, and good programming skills. The post is for up to 7 months, and would suit predoctoral candidates seeking research experience. Unsure if you're a good fit for the post? Got any questions? Then contact Mark for a chat: mark.humphries(a)nottingham.ac.uk<mailto:.humphries@nottingham.ac.uk>. For full details of the role and how to apply https://jobs.nottingham.ac.uk/vacancy.aspx?ref=SCI492126 Closing date: April 21st 2026 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

March 26, 2026

Registration is open for participants, Deadline 15. April – Curiosity Summer School 2026 (20–24 July, Göttingen)

by Cremer, Maren Monika

Registration is now open ! We are delighted to announce that the Curiosity Summer School 2026, organized by the RTG 2906 Curiosity<https://www.uni-goettingen.de/en/681631.html>, will take place from 20–24 July 2026 at the University of Göttingen, Germany. Please feel free to share this announcement within your networks, including matching mailing lists. Applications will be open until April 15th 2026 here https://events.gwdg.de/e/CSS The Summer School aims to provide doctoral researchers with a comprehensive and interdisciplinary perspective on the topic of curiosity, while also creating a platform for active exchange and collaboration between junior and senior scientists. This year, we will welcome an outstanding group of scientists who will contribute both lectures and hands-on workshops, including George Loewenstein, Mehdi Khamassi, Kou Murayama, Alejandro Sánchez-Amaro, Sebastian Haesler, and others. Applications will be open until April 15th 2026. We encourage you to visit https://events.gwdg.de/e/CSS for the most up-to-date and official information regarding the program, speakers, application process, and schedule. You can also follow us on LinkedIn<https://www.linkedin.com/company/research-training-group-2906-curiosity/> and Bluesky<https://bsky.app/profile/rtg2906-curiosity.bsky.social> for further updates. If you have any questions, please do not hesitate to contact us at curiosity-school(a)uni-goettingen.de<mailto:curiosity-school@uni-goettingen.de>. We look forward to welcoming you to Göttingen in July. Best wishes, On behalf of the Curiosity Summer School 2026 Organizing Team University of Göttingen - Research Training Group 2906 Curiosity Links Applications here https://events.gwdg.de/e/CSS RTG2906 Curiosity https://www.uni-goettingen.de/en/681631.html LinkedIn https://www.linkedin.com/company/research-training-group-2906-curiosity/ Bluesky https://bsky.app/profile/rtg2906-curiosity.bsky.social

March 26, 2026

Postdoctoral Position in Computational and Cognitive Neuroscience

by rmgr＠bu.edu

Postdoctoral Position in Computational and Cognitive Neuroscience: Flexible, Theory-Driven Research Program on Human Perception and Cognition We invite applications for a postdoctoral research position in our lab at Boston University, directed by Rob Reinhart (website: https://reinhartlab.org/) Our work focuses on the computational and neural mechanisms of human perception and cognition. This position is supported by fully flexible research resources, offering an unusually high degree of freedom to co-develop a research program that most excites the postdoc and draws deeply on their expertise, in close intellectual partnership with the PI. The lab is fundamentally a basic science training environment, oriented toward building representational computational accounts of cognition. Our central goal is not merely to describe behavior and its correlates, but to identify and test the internal representations and operations that constitute the cognitive phenotype, and to articulate the causal mechanisms by which these representations are implemented in neural systems. Research Approach Our work aims to integrate: (1) Causal perturbation of neural systems, including high-definition transcranial alternating current stimulation (HD-tACS) and temporal interference (TI) stimulation, to directly test mechanistic hypotheses. (2) Computational modeling across levels, including: Electric field models, Formal and normative models, Cognitive models, Neural spiking models and neural mass models. (3) Rich, theory-driven experimental design, using behavioral measures (e.g., psychophysics, eye movements) that feed directly into computational models, with behavior serving as a window into latent representational structure rather than an endpoint of interest. (4) Human neuroscience methods, including EEG and fMRI, integrated with perturbation and modeling. (5) Advanced machine learning and multivariate analysis, including representational similarity analysis (RSA), multivariate decoding and encoding models, pattern component modeling (PCM), cross-validated model comparison, dimensionality-reduction and manifold-learning methods, regularized and probabilistic models, and related techniques for interrogating representational geometry and latent structure in neural and behavioral data. Intellectual Environment The lab values theoretical clarity, mechanistic explanation, and close coupling between experiment and model. We are especially interested in candidates who think carefully about: (1) What representations are being computed? (2) What operations transform them? (3) How these computations are implemented neurally. (4) How causal perturbation constrains theory. The postdoc will have substantial latitude to shape the direction of their research, develop new paradigms or modeling approaches, and pursue questions that cut across cognition, computation, and neuroscience. Qualifications We welcome applicants from a broad range of academic backgrounds relevant to the study of cognition, including cognitive neuroscience, cognitive science, neuroscience, psychology, and linguistics. Applicants with strong theoretical and computational training from related fields such as physics, applied mathematics, or computer science who are motivated to translate this expertise to questions in cognitive neuroscience are also encouraged to apply. Ideal candidates will have: (1) a strong interest in computational and mechanistic explanations of cognition; (2) experience with at least one of the following: computational modeling, EEG/fMRI, brain stimulation, advanced data analysis, or experimental design; and (3) a desire for deep, theory-driven training. Training and Career Development This position is designed as a launchpad for independent academic research careers, with the goal of preparing scholars for tenure-track faculty positions at R01 universities. Training emphasizes intellectual ownership, methodological breadth, and rigorous theoretical foundations, with close mentorship paired with strong encouragement to develop a distinctive research identity. The Reinhart Laboratory is embedded within a highly interdisciplinary research environment at Boston University, with connections spanning human neuroscience, electrophysiology, and computational neuroscience across Psychology, Neuroscience, Biomedical Engineering, Computer Science, and Mathematics. Dr. Reinhart holds a secondary appointment in Biomedical Engineering and is an active member of multiple interdisciplinary research centers that support cross-field collaboration and independent research development. The lab is affiliated with the Center for Research in Sensory Communication and Emerging Neural Technology (CReSCNT) and the Center for Systems Neuroscience (CSN), which together foster collaborative, theory-driven research linking neural mechanisms to behavior, computational modeling, and technological innovation. Through these centers, trainees have access to a broad intellectual community at Boston University and across the greater Boston-area research ecosystem. Applicants should send a short cover letter, CV, and names of three references to rmgr(a)bu.edu.

March 25, 2026

CNeuro2026 Summer School in Computational Neuroscience, Beijing, July 2026

by Taniya Channa

*CN**EURO**2026* *Theoretical and Computational Neuroscience Summer School* *7 to 14 July 2026 — Beijing, China* *This year: “C**ONNECTIONS BETWEEN **N**ATURAL* *AND **A**RTIFICIAL **I* *NTELLIGENCE**”* *www.cneuro.net* <http://www.cneuro.net> *Format* The course will bring together leading scientists in the field, who will deliver both introductory and advanced lectures, and take part in small-group discussions. Other activities will include homework sessions and student presentations, as well as the now popular “Life and Science” panel series, in which faculty and students can both share their personal experiences and views on research and career. *Faculty* Nathaniel Daw (Princeton University) Michael Häusser (The University of Hong Kong) Sukbin Lim (NYU Shanghai) Aravinthan Samuel (Harvard University) Haim Sompolinsky (Harvard University) Taro Toyoizumi (RIKEN Institute) Matthieu Wyart (EPFL and Johns Hopkins University) *Organizers* Rava Azeredo da Silveira (University of Basel and Unievrsity of Zurich) Sen Song (Tsinghua University) Louis Tao (Peking University) Xiaoqin Wang (Johns Hopkins University and Tsinghua University) Quan Wen (USTC) Hang Zhang (Peking University) -- *Disclaimer: This e-mail and any attached files may contain confidential and/or privileged information. If you are not the intended recipient (or have received this e-mail in error), please notify the sender immediately by replying to this e-mail and immediately complete the removal/destruction of this e-mail from your system. Any unauthorised copying, disclosure or distribution of the material in this e-mail is strictly forbidden.*

March 25, 2026

PhD and Postdoc Jobs in Computational Neuroscience in Bonn

by Tatjana Tchumatchenko

Dear friends and colleagues, the Tchumatchenko group at the University of Bonn has several open PhD and Postdoc positions, see ads [1] and [2] below. Please spread the word. Best, Tatjana Tatjana Tchumatchenko Professor for Computational Neuroscience of Behavior Institute for Experimental Epileptology and Cognition Research Medical Faculty, University of Bonn Am Propsthof 49 53121 Bonn www.tchumatchenko.de [1] PhD positions in Computational Neuroscience are available in the Tchumatchenko group at the University of Bonn. The Tchumatchenko Group is seeking highly motivated PhD candidates to conduct research in the field of computational neuroscience. We work at the intersection between mathematics and biology and use both pen-and-paper calculations as well numerical simulations and data analysis methods. The choice of the methods is driven by the topic at hand which is often a question related to the circuit-level function of neural networks and synaptic dynamics. Our group is one of the leading computational neuroscience teams in Europe and obtained competitive prizes and third-party funding from several funding sources and has a track record of successful theses and research papers completed by mathematics/physics students that did not have prior exposure to biology. The projects you could work on could focus on a mathematical study of multiple attractors, time series analysis, numerical fitting procedures or involve tool development in python for the analysis of neural activity data. On the most applied end, machine learning applications to image segmentation (mRNA and protein) and analyses of behavioral tracking data are conducted in our group. The ideal candidate will be a highly motivated, team-oriented graduate interested in either pen-and-paper calculations, numerical algorithms or machine learning applications. Candidates should be enthusiastic about working and learning in an interdisciplinary research team in which members come from diverse scientific backgrounds. Good communication skills, a strong work ethic, excellent command of the English language are essential. Please send your application with a cover letter, a CV, copies of all relevant degree certificates to tatjana.tchumatchenko(a)uni-bonn.de. All salaries according to the public German salary scale. Start date negotiable. Information about our group can be found here: www.tchumatchenko.de We are looking forward to your application! [2] Two postdoc positions (m/f/d) are available in the Tchumatchenko group. The Tchumatchenko Group is seeking to attract two highly motivated postdoc candidates to conduct research in the field of computational neuroscience. Prof. Tatjana Tchumatchenko was recently appointed a Henriette Herz scout at the Alexander von Humboldt foundation and is looking to attract two international postdocs though this funding scheme [https://www.humboldt-foundation.de/bewerben/foerderprogramme/henriette-herz…] The ideal candidate will be an international, highly motivated, scientifically curious postdoctoral fellow with a strong work ethic and a PhD degree in life sciences, Neuroscience, Physics, Mathematics, Engineering or similar disciplines who looking to answer open question in computational neuroscience. Great social skills, excellent command of the English language and enthusiasm for working in a competitive interdisciplinary research team are essential. Potential scientific projects could lie either at the boundary between behavioral analysis and circuit neuroscience or at the boundary between molecular dynamics and circuit neuroscience. How is the molecular dynamics organized across the brain and what are statistical differences across cell types? How can we relate learning at the level of synapses and circuits to behavioral changes observed in animals? Can we identify behavioral states and link them to particular circuit activity states? Please send your application together with a cover letter, a CV with contact details from one academic reference and copies of all relevant degree certificates to tatjana.tchumatchenko(a)uni-bonn.de. Please include in your subject line “AvH Application your name”. We are looking forward to your application! Duration and salary will be according to the fellowship scale of the Alexander von Humboldt foundation. Start date negotiable.

March 25, 2026