Machine Learning in Biology Group on the Max Planck Campus
Tuebingen, Germany *
The Max Planck research group “Machine Learning in Biology” led by Gunnar Raetsch has a postdoctoral position available. We are situated in the Friedrich Miescher Laboratory in Tübingen, Germany, which is part of an excellent research campus including the Max Planck Institutes for Developmental Biology and Biological Cybernetics and the University of Tübingen. Our ongoing projects are related to the development of large-scale and interpretable learning methods for computational transcriptome analysis, gene finding, understanding transcriptional and post-transcriptional regulation, and the analysis of polymorphisms (cf. http://www.fml.mpg.de/raetsch/research).
We are looking for an enthusiastic candidate who is interested in applying and/or developing machine learning or related data analysis techniques to relevant problems appearing in genome biology. Possible topics include large scale learning methods for classification and structured output prediction to analyze the regulation of RNA processing, epigenetics of post-transcriptional regulation, dynamical modeling of biological systems, and genome-wide association studies. There will be many possibilities to collaborate with others in the group and on campus and lots of freedom to pursue own ideas.
The candidate should have a Ph.D. (in computer science, statistics, biostatistics, computational biology, or a related field) with a strong publication record and strong professional references. The
ideal candidate should have demonstrated interests and experience in the analysis of genomic data; strong knowledge of molecular biology; extensive programming experience pertinent to the analysis of large and diverse datasets; multi-disciplinary team working capabilities. Excellent communication skills are required for effective interaction with group members and collaborators.
Interested applicants should submit a CV, a cover letter stating qualifications as well as research interests, and letters of reference via the online submission system available at http://jobs.tuebingen.mpg.de/ag-raetsch. Please feel free to also contact Gunnar Raetsch (Gunnar.Raetsch (at) tuebingen.mpg.de) informally by email or at ISMB 2009 in Stockholm if you have any questions.