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 (Graz is actually a wonderful place to live).

We want to understand how essential components of brain-intelligence, such as the creation and use of semantic and episodic memories, one-shot learning, abstract reasoning, and the use of imagination for problem solving can be reproduced in models for neural networks of the brain (networks of spiking neurons).  As inspiration –and technical tools—we use current methods from Machine Learning and AI, such as Deep Learning and Learning-to-Learn, that have already drastically advanced our understanding of intelligence. This work will build on our recently developed methods, such as


This position is funded by the Human Brain Project of the EU, which offers an exciting international and interdisciplinary research environment. Our team also collaborates with researchers in neuroscience and neuromorphic engineering in the US.

Requirements

  • strong mathematical background and analytical skills
  • excellent programming and computing capabilities (mainly TensorFlow or Pytorch)
  • a genuine urge to understand brain-intelligence
  • knowledge and experience 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