PhD position in multiple sclerosis research Department of Neurology, Technische Universität München, Munich, Germany TUM-NIC, Neuroimaging Center, Munich, Germany
The Department of Neurology of the Technische Universität München offers a PhD position in systems neuroscience research of Multiple Sclerosis. The project aims to investigate structural correlates of disability and biomarker patterns in patients with multiple sclerosis (MS) using MR imaging techniques. The candidate will investigate cortical pathology and lesion pathology in MS using state-of-the-art neuroimaging techniques.
Applicants should have finished a university degree in medicine, psychology, biology, computer science or other relevant disciplines. Candidates should have strong analytical and organizational skills and prior experience with large cohort patient datasets is an advantage. Previous experience in analysis of structural/functional MR images (e.g., Freesurfer/FSL, SPM) is highly desired. Basic programming skills in for example Matlab or Unix shell scripting are a plus but not strictly required. Candidates who lack the aforementioned skills should have a strong motivation to develop these skills during their training. We are searching for candidates who are able to work independently and who have demonstrated excellent presentation and writing skills. The applicant will be expected to interact and collaborate with colleagues from different disciplines.
Salary is according to the German TVöD. The position is available from January. The position is initially available for two years, the second year contingent on satisfactory progress. Extension beyond two years may be possible. Neuroimaging scanning facilities (MRI 3T scanner) and computer infrastructure are entirely available at the TUM Neuroimaging Center (TUM-NIC).
Candidates may contact Prof Dr. Mark Mühlau (muehlau@lrz.tum.de) or Dr. Ruthger Righart (righart@lrz.tum.de) for more detailed information. Applications including a letter of motivation and CV should be addressed to Prof. Dr. Mühlau by Email: muehlau@lrz.tum.de .