University master's degree in computer science, mathematics or comparable subjects Programming experience preferably in C++ or Python and daily use of Linux Strong interest in application-oriented, interdisciplinary research and practical implementations Knowledge in image processing and data analysis Interest in large data image processing - segmentation, registration, and machine learning Interest in geometry processing and morphological analysis Interest in parametrization/flattening/dimension reduction and scientific visualization Very good knowledge of the English language Excellent teamwork and communication skills, A high degree of independence and commitment as well as The ability and willingness to write scientific publications on an international level.