Group leader position Statistical Inverse Problems in Biophysics at the Max Planck Institute for Biophysical Chemistry (Code Number 27-13)
The Research Group “Statistical Inverse Problems in Biophysics” (Max-Planck Fellow Prof. Axel Munk) is looking to fill one group leader position (up to five years, E 14) at the interface of mathematical statistics, inverse problems and biophysics. A possible starting date for the position is January, 1st 2014.
The goal of the group is to develop statistical and mathematical methods for several problems in biophysics. This will be done in close collaboration with various labs at the Max Planck Institute for Biophysical Chemistry and the Mathematical Statistics group at the Faculty of Mathematics and Computer Science, Georg August University, Göttingen. Possible activities range from image analysis in sub-diffraction fluorescence microscopy, the statistical analysis of NMR spectra, radially under-sampled magnetic resonance tomography to complexity reduction techniques in modeling protein dynamics. We offer the possibility of a Habilitation at the faculty of Mathematics and Computer Science. In addition, the possibility to fill a PhD position is offered to the successful candidate.
We are looking for talented, self-motivated individuals with a strong background in statistics or applied mathematics. Good programming skills and basic knowledge of biophysics is desirable.
The Max Planck Society is trying to increase the percentage of women on its scientific staff and strongly encourages applications from qualified women. The Society is also committed to employing more handicapped individuals and especially encourages them to apply.
Please send your application including a current CV and the names and contact information of three references in relation to the code number until November, 17th 2013 to
Max Planck Institute for Biophysical Chemistry
Mrs Almuth Burgdorf
Am Fassberg 11, 37077 Göttingen
Germany
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Tel.: +49 551 201-1483
For further requests please contact:
Prof. Axel Munk
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Tel: +49 551 39-172111
