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In order to fill a fixed-term position in part-time (29.87 hours/week = 75%) at the earliest possible date, we are looking for one

Doctoral Researcher (m/f/d) in Predictive Cognition, 75% TV-L E13, 3 years

The Department of Predictive Cognition is a newly established research unit within the Faculty of Psychology. After the completion of the new THINK research building on the former Opel site Mark 51°7, the team will move there (https://www.ruhr-uni-bochum.de/think/index.html.en).

The research focus is on combining neuroimaging and behavioural measurements with computational models to understand how the human brain learns and uses prior expectations during speech and face perception. More information can be found here: https://www.predcog.psy.ruhr-uni-bochum.de/pred/index.html.en

Scope: part-time
Duration: fixed-term, 3 years
Start: at the earliest possible date
Apply by: 2026-04-20

Your tasks:

• Participation in the execution and organization of research projects
• Guided, but also independent execution of experimental research work in the aforementioned subject area, from programming experimental setups, data acquisition, and data analysis, to the dissemination of the results
• Presentation of research results at national and international conferences
• Publication of research results in scientific journals
• Application of Open Science Practices
• Contribution to university education in psychology (e.g., teaching a seminar, co-supervision of exercises, and student work)

Your profile:

• Master in Neuroscience, Cognitive Science, Psychology, or a related discipline
• Experience in conducting, programming, and analysing (e.g., EEG/fMRI) experiments
• Experience and strong interest in using neuroimaging methods, such as 3T and 7T MRI, EEG, and/ or eye tracking
• Excellent experience in programming (e.g., Python, MATLAB)
• Keen interest in experimental approaches to study predictive processing, learning, and communication
• Strong organizational skills
• A high level of spoken and written English
• Highly self-motivated and eager to learn
• Ability to work both independently and as part of an interdisciplinary team

https://jobs.ruhr-uni-bochum.de/jobposting/904a8b36bf368558fee07f289ce193de6c3f4f1f0?ref=AfA