Post-doc position for two years available for 3D medical image analyses in Freiburg, Germany

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 (http://www.uniklinik-freiburg.de/fbi/live/groups_en.html) and 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 (http://www.uniklinik-freiburg.de/fbi/live/members/kloeppel_en.html) 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 graph models.

- 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.