The successful candidate will work on a DFG-funded project dedicated to investigating the mechanisms underlying the effects of transcranial magnetic stimulation (TMS) of the human motor cortex, using advanced electrophysiological measurement techniques combined with biophysical modeling. The project will be carried out in cooperation between the Leipzig University of Applied Sciences, the Czech Academy of Sciences, and the MPI-CBS.
Candidates should hold a PhD and have a background in engineering, computer science, neuroscience, physics, or a related field, as well as a keen interest in neuroscience. Good computer programming skills (e.g., C++, Matlab, Python) are necessary. The ideal candidate would have experience in EEG or MEG (or similar) experimentation, data analysis, and modeling. Prior exposure to volume conduction modeling and/or source analysis would be beneficial.