31 Aug
2014
31 Aug
'14
6:21 p.m.
A PhD position is open in the research group Multimodal Imaging in Normal and Pathological
Cognition (Head: Dr. Igor Yakushev) at the Department of Nuclear Medicine, Technische
Universität München (TUM), Munich, Germany.
The project is dedicated to modeling/reconstruction of cerebral networks on the basis of
brain images, as obtained using PET, DTI, and fMRI. Disease-related changes in patterns of
cerebral connectivity should be quantified in patients with cognitive impairment and
subjects at risk.
The research group is integrated into the TUM Neuroimaging Center, which possesses a broad
methodological and thematic expertise: http://www.tumnic.mri.tum.de/tumnic/index.html
The PhD student will be enrolled at the TUM graduate school, which offers a structured
curriculum of courses and seminars (in English) and supports participation in conferences
and international exchange: http://www.gs.tum.de/en/home/
The Dept. of Nuclear Medicine offers exciting opportunities for neuroimaging research, in
an interdisciplinary environment consisting of medical physicists, radiopharmacists and
clinicians, and access to state-of-the-art technology including a hybrid PET/MR scanner
(Siemens Biograph mMR).
Prior experience with image analysis, Matlab programming and good statistical skills are
required. A co-authorship in a scientific paper (at least in submission) is advantageous.
In case of the technical background (e.g., computer science, biomedical engineering), the
student will be co-supervised by a partner department of the TUM (e.g., Informatics).
The salary/stipend is 1500-2000 EUR net / month, depending on performance of the student
and availability of funds. There is no tuition fee at the TUM.
The position can commence immediately, by 1.2015 at the latest.
Interested researchers should submit their applications including CV, two recommendation
letters (or names and contact details of personal references), and a brief letter of
motivation to Dr. Yakushev at igor.yakushev(a)lrz.tum.de
Applications will be considered until the position has been filled.