The Institute of Theoretical Computer Science is looking for an outstanding and highly motivated
to complement our team in the Faculty of Computer Science and Biomedical Engineering of Graz University of Technology .
The researcher will work on advancing Deep Learning and methods for understanding its outcomes ("interpretable AI") for applications to large data-based cortical microcircuit models, using state-of-the-art supercomputing facilities. The goals are to elucidate the organization of computing and learning in neural networks of the brain, and to develop on this basis spike-based AI methods. The research will be based on recently developed algorithms and TensorFlow software for spiking neural networks, as published for example in
This is a fully funded research position in the Human Brain Project of the EU, which offers an exciting international interdisciplinary research environment.
Please send your CV, grades, motivation letter, and links to pdf of your master thesis and other relevant preceding work to