The Graz University of Technology (TU Graz) is a technical-scientific research institution rich in tradition based in Austria. TU Graz is an international top performer in all its five Fields of Expertise, capitalising on intense collaborations with industry and other research facilities worldwide. Within the European higher education landscape, TU Graz is a strong player in attracting talent and resources.

The Institute of Theoretical Computer Science is looking for an outstanding and highly motivated

PhD Student or Postdoc

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.

Requirements

  • Strong mathematical background and analytical skills
  • Deep interest in understanding the function of neural networks in the brain
  • Excellent programming skills
  • Very good knowledge in Machine Learning

Contact

Please send your CV, grades, motivation letter, and links to pdf of your master thesis and other relevant preceding work to

charlotte.rumpfnoSpam@tugraz.at

Dean's Office
Faculty of Computer Science and Biomedical Engineering
Inffeldgasse 10/II, 8010 Graz