The Department of Biological Psychology, in the Institute of Psychology, at the University of Münster (WWU), Germany, is seeking to fill the position of a
Doctoral Research Associate in Cognitive Neuroscience
Wissenschaftliche/r Mitarbeiter/in
(salary level TV-L E 13, 50%)
commencing on 1 March 2024. 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, in statistical and semantic knowledgefeeding predictions, and in learning and adaptation processes triggered by prediction errors. We use various neuroimaging modalities, such as fMRI and EEG, in healthy subjects and impaired populations.
Your tasks:
The position is tied to working towards a doctorate. The candidate will be engaged in a project that aims to elucidate the predictive value of baseline and resting state activity in cognitive perception and cognition from a network perspective. The project is foreseen as consisting of three experiments: the first two experiments focusing on different brain imaging modalities (EEG and fMRI) and the third exploring the cross-modal relationships between EEG and fMRI responses via representational similarity analysis (RSA). The successful candidate will, however, be encouraged to show initiative in modifying and enhancing the design and methodological aspects of the experiments and the project as a whole.
Our expectations:
Applicants should hold an above-average MSc in neuroscience, psychology, biology or another related field and have already demonstrated strong motivation for cognitive neuroscience. Prior experimental experience in at least one neuroimaging modality (i.e. EEG or fMRI) is preferred, while experience with both modalities will be considered an advantage. The candidates will be required to have solid programming skills, preferably with several languages, such as MATLAB, Python, or R. Finally, prior experience with RSA and dynamic causal modeling (DCM) are also highly valued.
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.
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, a list of publications, and the names of two potential references to Anoushiravan Zahedi (azahedi@uni-muenster.de) and Ricarda Schubotz (rschubotz@uni-muenster.de ).
Are you interested? Then we look forward to receiving your application, as a single PDF file, by 31 December 2023.