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 (mueh...@lrz.tum.de) or Dr. 
Ruthger Righart (righ...@lrz.tum.de) for more detailed information. 
Applications including a letter of motivation and CV should be addressed 
to Prof. Dr. Mühlau by Email: mueh...@lrz.tum.de .
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