Postdoctoral Research Fellow - Bioinformatics
Postdoctoral Research Fellow - Bioinformatics
Max Planck Institute of Biochemistry
Martinsried, Germany
Project overview
This position offers an exciting opportunity to develop machine learning methods that reveal how biological function is encoded across different kinds of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation. The successful candidate will develop machine learning models for large-scale biological data and connect predictive modeling with mechanistic understanding. As part of Karsten Borgwardt's Department of Machine Learning and Systems Biology, these advances will be applied directly to frontier problems in biology, from genome regulation to spatial proteomics, mass spectrometry, and protein design, using the unique, large-scale datasets generated across the Max Planck Institute of Biochemistry.
Qualifications
The successful applicant will hold a Ph.D. in bioinformatics, computational biology, machine learning, computer science, or related fields. The applicant should have a strong interest and prior experience in developing and applying machine learning methods to problems in the life sciences. Experience with bioinformatic preprocessing pipelines for large-scale biological data is an advantage. Written and oral command of English is essential.
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