Home Postdoc Abroad Postdoctoral Fellow in Computational Neuroscience, Ruhr University Bochum, Germany

Postdoctoral Fellow in Computational Neuroscience, Ruhr University Bochum, Germany

Postdoc in Germany

Summary:
The Ruhr University Bochum is inviting applications for a full-time Postdoctoral Fellow position in Computational Neuroscience. This is a fixed-term position under the Collaborative Research Center “Extinction Learning” SFB 1280, focused on integrating computational modeling approaches to study learning and memory in humans and animals.

Postdoctoral Fellow in Computational Neuroscience, Ruhr University Bochum, Germany


Designation:
Postdoctoral Fellow (M,F,X) in Computational Neuroscience


DetailsInformation
Research AreaComputational Neuroscience
LocationRuhr University Bochum, Germany
Eligibility/QualificationDoctorate in neuroscience, physics, mathematics, electrical/biomedical engineering, or related fields
Job TypeFull-time (39.83 hours/week)
DurationFixed-term until 30.06.2029
Start Date01.11.2026
Application Deadline22.06.2026

Job Description:

As a Postdoctoral Fellow, you will:

  • Analyze behavior, neural, and psychophysiological learning dynamics from collected data.
  • Compare learning dynamics across individuals, species, learning phases, and paradigms.
  • Develop algorithms for learning dynamics analysis.
  • Create and study computational models of learning dynamics.
  • Coordinate research with other projects within SFB 1280.

How to Apply:

Interested candidates should submit their applications through the online application portal by providing the reference number ANR 5708. For further information, contact Lisa Grunau at +49 234 32 18137.


Last Date to Apply:
June 22, 2026


Additional Information:

  • The position is salaried according to the collective agreement for public service (TV-L), with a pay grade of E13.
  • The university promotes diversity and encourages applications from women and individuals with disabilities.
  • English proficiency is required, and support for German language learning is available.

Link

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