PhD Student in computational neuroscience/pain research

Department of Neurology, Technische Universität München, Munich, Germany

Applications are invited for a PhD Student position at the Department of Neurology, Technische Universität München, to work on the cerebral representation of pain by using EEG. The project will focus on the neurophysiological correlates of pain in healthy human subjects and patients suffering from chronic pain disorders. Major experimental methods include EEG time-frequency analysis, source analysis and connectivity analysis. The candidate will join a research group dedicated to the multimodal investigation of the cerebral representation of pain (http://www.painlabmunich.de) which is part of the TUM-Neuroimaging Center (TUM-NIC; http://www.tumnic.mri.tum.de). TUM-NIC hosts state-of-the-art neuroimaging facilities and offers training in major neuroimaging techniques.

Applicants should have a background in computer science, statistics, physics, engineering, neuroscience, medicine, psychology, or other relevant disciplines. Prior experience in MATLAB programming is mandatory. Skills for sophisticated analysis of EEG data (e.g. information theory, machine learning techniques, mediation analysis) are highly desirable. Candidates have the possibility to integrate in the PhD program Medical Life Science and Technology (http://www.phd.med.tum.de) or the Graduate School of Systemic Neurosciences (http://www.gsn.uni-muenchen.de/index.html), which offer interdisciplinary high-level training for students with different backgrounds.   

Salary will be commensurate with the German TVöD salary scale (EG13). Applications will be considered until the position is filled.

Candidates may contact Dr. Markus Ploner for more detailed information or directly e-mail their application (ploner@lrz.tum.de), including letter of motivation, CV and letters of recommendation.