The Department of Biological Psychology (Institute of Psychology) at the University Münster invites applications of
2 PhD/Doctoral researchers (fully funded - E13 65%, 3 years)
in cognitive neuroscience. You are invited to join a collaborative research team on predictive mechanisms in human brain and behavior (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 knowledge feeding predictions, and in learning and adaptation processes triggered by prediction errors. We use neuroimaging (fMRI), electrophysiological (EEG, EDA) and intervention techniques (TMS) in healthy subjects and impaired populations (e.g. Parkinson’s Disease; Asperger Autism; Dementia).
The candidate will be engaged in the project
"‘Alternative facts’ - How the brain warrants stable and flexible predictions from faithful and modified memories of a person’s true past"
This project is part of the newly established DFG research unit 2812 “Constructing Scenarios of the Past: A New Framework in Episodic Memory” at the Ruhr University Bochum and the Westfälische Wilhelms University Münster. The research unit will study the cognitive and neuronal mechanisms underlying the constructed scenarios that make up episodic memory. It will employ and combine approaches from Philosophy, Psychology as well as Experimental and Computational Neuroscience.
The project uses fMRI to investigate the neuronal correlates and dynamics of recalling faithful and modified episodic memories. We seek to understand the conditions that render the memory of a truly experienced episode more or less susceptible to later modification. To this end, the two PhD students will work in close collaboration.
The ideal candidate will hold an above-average M.Sc. in a relevant subject, and has 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 (MatLab, presentation, and fMRI-specific tools).
For more information on the advertised positions, and to apply with your CV, a short description of your research interests, including publications and names of two potential referees, please contact: firstname.lastname@example.org.
Applications will be considered until 30th of April 2019.
Start of contract will be as soon as possible, but 1st of September 2019 at the latest. Applications of women are specifically invited. In the case of similar qualifications, competence, and specific achievements, women will be considered on preferential terms within the framework of the legal possibilities. Handicapped candidates with equivalent qualifications will be given preference.
Quante L., Kluger D.S., Bürkner P.C., Ekman M., Schubotz R.I. (2018) Graph measures in task-based fMRI: Functional integration during read-out of visual and auditory information. PLoS ONE, 13(11): e0207119.
Hagelweide, K., Schönberger, A.R., Kracht, L., Gründler, T., Fink, G.R., Schubotz, R.I. (2018). Motor cognition in patients treated with subthalamic nucleus deep brain stimulation: Limits of compensatory overactivity in Parkinson's disease Corresponding. Neuropsychologia, 117, 491-499.
Trempler, I., Binder, E., El-Sourani, N., Schiffler, P., Tenberge, J.-G., Schiffer, A.-M., Fink, G.R., Schubotz, R.I. (2018). Association of grey matter changes with stability and flexibility of prediction in akinetic-rigid Parkinson's disease. Brain Structure and Function, 223(5), 2097-2111
El-Sourani, N., Wurm, M. F., Trempler, I., Fink, G.R., & Schubotz, R.I. (2018). Making sense of objects lying around: How contextual objects shape brain activity during action observation. Neuroimage, 167, 429-437
Wurm, M.F. & Schubotz, R.I. (2018). The role of the temporoparietal junction (TPJ) in action observation: Agent detection rather than visuospatial transformation. NeuroImage, 165, 48-55.
Kluger, D.S. & Schubotz, R.I. (2017). Strategic adaptation to non-reward prediction error qualities and irreducible uncertainty in fMRI. Cortex, 97, 32-48.
Unsere Arbeitsgruppe sucht aktuell interessierte ProbandInnen (14-60 Jahre) mit Asperger-Autismus für zwei fMRT-Studien. Mehr Informationen finden Sie hier.