The Department of Biological Psychology within the Institute of Psychology at the University of Münster, Germany, is seeking to fill the position of a
at the earliest possible date and by 1 January 2025 at the latest. We are offering a fixed-term part-time position (50% FTE) for three years. Full-time employees are required to teach 4 hours per week during the semester. You are invited to join a passionate and communicative research team investigating predictive mechanisms in the human brain and behaviour (http://www.uni-muenster.de/PsyIFP/AESchubotz/en/index.html). We are interested in the classification of different types of prediction, statistical and semantic knowledgefeeding predictions, and the learning and adaptation processes triggered by prediction errors. We use neuroimaging (fMRI) and electrophysiological techniques (EEG, EDA) in healthy subjects and impaired populations.
The position is tied to working towards a doctorate. The candidate will be engaged in the DFG-funded project Incidentally generated movement sounds: How relevant are they for motor learning and perception? The project is part of a long-standing successful cooperation between the Department of Performance Psychology at the German Sport University Cologne and the Department of Biological Psychology at the University of Münster. Using behavioural measures and functional (fMRI) and diffusion tensor imaging (DTI), the project is investigating the effects of auditory deprivation and auditory reinforcement on intensive hurdle training. The studies aim to better understand the benefits of incidentally generated movement sounds and to develop long-term recommendations for sports and rehabilitation of neurological patients.
Applicants should hold an above-average MSc in neuroscience/psychology/biology or a related field and have already shown a strong motivation for cognitive neuroscience. Prior experimental experience in neuroimaging or electrophysiological methods would be highly valuable. The candidates will be required to engage in programming using MatLab, presentation and fMRI-specific tools.
The University of Münster strongly supports equal opportunity and diversity. We welcome all applicants regardless of sex, nationality, ethnic or social background, religion or worldview, disability, age, sexual orientation or gender identity. We are committed to creating family-friendly working conditions. Part-time options are generally available.
We actively encourage applications by women. Women with equivalent qualifications and academic achievements will be preferentially considered unless these are outweighed by reasons which necessitate the selection of another candidate.
To apply, send your CV, a letter of motivation, list of publications and the names of two potential references to Prof RI Schubotz, rschubotz@uni-muenster.de. Applications will be considered until 2024-10-27.
Reference number: 2024_09_02