About this role
In order to fill a fixed-term position in full-time (39.83 hours/week = 100%) at the earliest possible date, we are looking for a Postdoctoral Fellow (m,f,x) in Computational Neuroscience (CRC 1280) The Cheng Lab is highly dynamic and uses diverse computational modeling approaches including biological neural networks, cognitive modeling, and machine learning to investigate learning and memory in humans and animals. For further information see www.rub.de/cns The successful applicant (m,f,x) will work on a collaborative project within the Collaborative Research Center “Extinction Learning” SFB 1280, together with experimentalists. Scope: full-time Duration: fixed-term, until 30.06.2029 (end of project) Start: at the earliest possible date Apply by: 2026-11-02 Your tasks: - Analyze learning dynamics in behavioral, neural, and psychophysiological data, which will be collected by other projects within the SFB 1280 - Compare the learning dynamics between individuals, species, learning phases and learning paradigms - Develop algorithms to analyze the learning dynamics - Develop and study computational models of learning dynamics - Coordinate research with other participating projects Your profile: - A doctorate degree in neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field - Relevant experience in mathematical modeling - Excellent programming skills (e.g., Python, C/C++, Matlab) - Excellent communication skills in English - The ability to work well in a team - Research experience in neuroscience would be a further asset https://jobs.ruhr-uni-bochum.de/jobposting/ccfb73ccd824632cad67e3960105dc6e6f7ef7ec0?ref=AfA ( https://jobs.ruhr-uni-bochum.de/jobposting/ccfb73ccd824632cad67e3960105dc6e6f7ef7ec0?ref=AfA )