[Comp-neuro] Phd/Postdoc position for research on interpretable Deep Learning and brain modelling

Wolfgang Maass maass at igi.tugraz.at
Tue Aug 18 19:13:18 CEST 2020


We are looking for a highly talented and motivated Phd student or 
Postdoc to complement our team in the Faculty for Computer Science and 
Biomedical Engineering of Graz University of Technology in Austria.

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

   G. Bellec, D. Salaj, A. Subramoney, R. Legenstein, and W. Maass. Long 
short-term memory and learning-to-learn in networks of spiking neurons. 
32nd Conference on Neural Information Processing Systems (NIPS 2018), 
https://igi-web.tugraz.at/PDF/243.pdf

    G. Bellec, F. Scherr, A. Subramoney, E. Hajek, D. Salaj, R. 
Legenstein, and W. Maass. A solution to the learning dilemma for 
recurrent networks of spiking neurons. Nature Communications, 2020. 
.https://www.nature.com/articles/s41467-020-17236-y.pdf

     F. Scherr, C. Stoeckl, and W. Maass. One-shot learning with spiking 
neural networks. bioRxiv, 2020. https://igi-web.tugraz.at/PDF/256.pdf

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

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

charlotte.rumpf at tugraz.at
-- 
Prof. Dr. Wolfgang Maass
Institut fuer Grundlagen der Informationsverarbeitung
Technische Universitaet Graz
Inffeldgasse 16b ,   A-8010 Graz,  Austria
Tel.:  ++43/316/873-5822
Fax   ++43/316/873-5805
http://www.igi.tugraz.at/maass/Welcome.html


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