Connectionists: Open PhD and PostDoc positions in Spiking Neural Network Learning

[Robert Legenstein]

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 
solutions.
(see 
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

http://www.igi.tugraz.at/legi/
Follow @CompLegenstein on Twitter.

++43/316/873-5824
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