This post at the interface between clinically applied brain imaging
and methods development is funded by the German Research Council
(DFG). The project aims to improve automated diagnosing using cerebral
MRI in the context of neurodegeneration. Pattern recognition methods,
Graph theory and Bayesian learning algorithms will be employed to
integrate multi-modal imaging and clinical data.
The post is based at Freiburg Brain Imaging
initially funded for two years with a possible one year extension.
This facility integrates the research interests of the departments of
Neurology, Psychiatry, Neuroradiology, Neurosurgery and the local
memory clinic. The successful applicant will be working in the group
of Dr. Stefan Klöppel from the department of Psychiatry
and Prof. Olaf Ronneberger
(http://lmb.informatik.uni-freiburg.de/people/ronneber/) from the
department of Pattern Recognition.
Essential Skills and Qualifications:
- Ph.D. in Electrical Engineering, Computer Science or related discipline.
- Experience in pattern recognition methods, Bayesian statistics and
- Good communication skills to work in a multi-professional team.
This position is immediately available and until filled. All qualified
candidates are encouraged to apply.
The application should be sent to Dr. Stefan Klöppel
(stefan.kloeppel[at]uniklinik-freiburg.de) or Prof. Olaf Ronneberger
(ronneber[at]informatik.uni-freiburg.de) by email. Please feel free to
contact us if you have any questions.