You cannot apply for this job anymore (deadline was 28 Mar 2024).
Browse the current job offers or choose an item in the top navigation above.
The world needs to meet increasing demands and therefore requires people who can make a contribution; critical thinkers who will take a closer look at what is really important. As an assistant or associate professor, you will perform leading research and teach students in the fields of theoretical biophysics and physics-based machine learning to strengthen the role and visibility of the international Theoretical Biophysics landscape.
You will join the Physics of Machine Learning and Complex Systems Group at the Donders Centre for Neuroscience (DCN) and perform internationally leading theoretical research in an area of theoretical biophysics or theoretical machine learning based on theoretical physics. You can also integrate your research to neuroscience problems studied at DCN, and you will engage actively in interdisciplinary research collaborations with other physicists in Radboud University's Faculty of Science and with external partners. You will contribute to the teaching and the innovation of the physics curriculum at the Faculty of Science, including Radboud's popular theoretical machine learning and biophysics courses. Finally, you will contribute to the administrative tasks for the position, and will strengthen the role and visibility of Radboud University in the international Theoretical Biophysics landscape.
Fixed-term contract: you will be appointed for an initial period of 18 months. At the end of this period, we evaluate your performance. After a positive evaluation, your employment contract will be changed to a permanent employment contract.
We like to make it easy for you, sign in for these and other useful features: