Projects in this module typically focus on the physical principles of modern neuroimaging techniques including RF technology, image processing strategies, and EEG/MEG source analysis, on biophysical tissue properties and their relation to microstructure and function, as well as on computational neuroscience and modelling of cortical networks. Experimentally, these efforts are supported through access to cutting-edge imaging technology, including a state-of-the-art 7T whole-body MRI scanner, a 3T scanner with 300mT/m high-performance gradients or a 306-channel MEG system.
Candidates should have a very good master's degree, preferably in physics or, alternatively, in physical chemistry, computer sciences, biomedical or electrical engineering or a similar degree of equivalent academic level. A genuine interest in developing novel biomedical imaging or neuromodeling should motivate your application. Good programming skills, preferably with experience in MATLAB, C++ or Python, are essential.