[Comp-neuro] Open PhD and PostDoc positions in Spiking Neural Network Learning

Robert Legenstein robert.legenstein at igi.tugraz.at
Sun Jan 5 19:25:42 CET 2020

The Lab of Robert Legenstein at TU Graz is offering funded PhD and 
PostDoc positions in the area Deep Learning in Spiking Neural Networks 
for Neuromorphic and Memristive Hardware. A background in Deep Learning, 
Computer Science, or Mathematics is desirable, as well as evidence for 
excellent prior performance as a student.

Successful candidates will work on learning algorithms for spiking 
neural networks in the interdisciplinary consortium of one of two projects:

a) SYNCH (EU): We collaborate with Hardware experts who will implement 
the developed algorithms in cooperation with our team in a spiking 
neural network chip. The chip will be applied to various tasks within a 
brain-silicon hybrid system such as the classification of recorded brain 
network states.
(see https://synch.eucoord2020.com/ for a description)

b) SMALL (Chist-Era)
We will develop learning algorithms for spiking neural networks and 
collaborate with experts for neuromorphic and memristive hardware with 
the goal to implement proof-of-concept ultra-low-power machine learning 
https://www.tugraz.at/institute/igi/people/prof-legenstein/projects/ for 
a brief description).

Please send your application including a CV, any prior thesis and/or 
work by 31. Jan 2020 to

robert.legenstein at igi.tugraz.at

Dr. Robert Legenstein
Institute Head
Institute of Theoretical Computer Science
Graz University of Technology
Inffeldgasse 16b/I, 8010 Graz, Austria

Follow @CompLegenstein on Twitter.


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