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Stellendetails zu: Postdoctoral Fellow (m,f,x) in Computational Neuroscience (SFB 1280)

Postdoctoral Fellow (m,f,x) in Computational Neuroscience (SFB 1280)

Kopfbereich

Angebotsart: Arbeit
Arbeitgeber: Ruhr-Universität Bochum

Besondere Merkmale

  • Beginn ab 01.11.2026

Arbeitsort

Bochum

Anstellungsart

Vollzeit

Befristung

befristet bis 30.06.2029

Berufsbezeichnung

  • Wissenschaftliche/r Mitarbeiter/in
  • Neurowissenschaftler/in
  • Physiker/in

Stellenbeschreibung

In order to fill a fixed-term position in full-time (39.83 hours/week = 100%) 01.11.2026, we are looking for 1

Postdoctoral Fellow (m,f,x) in Computational Neuroscience (SFB 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: 01.11.2026
Apply by: 2026-06-22

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/b81cacbb31ca4a82e41631d1529f1ba6889ff4e10?ref=AfA

Arbeitsorte

Unternehmensdarstellung: Ruhr-Universität Bochum

Ruhr-Universität Bochum

Informationen zur Bewerbung