Tasks: Scientific research work in the field of Machine Learning approaches for Materials Discovery (low-dimensional materials and structures) and Data Analysis (sensor output data) in cooperation with internal and external academic and industrial partners; participation in the acquisition of third-party funding and in the teaching activities of the chair.
Requirements: excellent university degree, preferably with a PhD degree in Natural or Engineering Sciences; extensive experience in data science, machine learning methods and programming (especially Python). We are looking for a first-class scientist with excellent verbal and written communication skills in English who wants to make a mark in science.