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 (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.
Please send your CV, grades, motivation letter, and links to pdf of your master thesis and other relevant preceding work to
charlotte.rumpf @tugraz.at