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Faculty of Computer Science :
Neuroinformatics
Computational Neuroscience
In order to fill a fixed-term position in full-time (39.83 hours/week = 100%) 01.11.2026, we are looking for 1
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
- 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
- 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
A varied sports program with around 100 sport disciplines and the university's own gym, Support in combining family life and work (including childcare arrangements/holiday offers/mobile playroom), Collaboration in a committed and appreciative team, Employment at one of the largest universities in Germany within the University Alliance Ruhr, Options for flexible working (mobile working and teleworking)
The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L.
Further information can be found at (in German).
The place of work is Ruhr University Bochum.
If the position is funded by third-party funds the employee has no teaching obligation.
RUB sees itself as a university with an international presence. The campus languages are German and English. Competence in at least one of the two languages and the willingness to learn the other are a prerequisite. RUB provides corresponding free courses for employees.
German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF). https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en
The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact [email protected].
The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum’s declared aim.
The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.
Lisa Grunau , Tel.: +49 234 32 18137
Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed.
We look forward to receiving your application via our online application portal by 2026-06-22. Please make sure to mention the reference number ANR 5708.
RUHR-UNIVERSITÄT BOCHUM
44801 Bochum
Universitätsstraße 150
SOCIAL MEDIA
https://uni.ruhr-uni-bochum.de/de/stellenangebote
