Connectionists: Open PhD position - Spiking Neural Networks for scalable learning neuromorphics

[Robert Legenstein]

The Lab of Robert Legenstein at Graz University of Technology (Austria) 
is offering a funded PhD position in the areas Spiking Neural 
Networks/Machine Learning/Brain Models/Neuromorphic Hardware. A 
background in Machine Learning, Computer Science, or Mathematics is 
desirable, as well as evidence for excellent prior performance as a 
student.

The successful candidate will work on learning algorithms for spiking 
neural networks in the international consortium of the international 
project "Scalable Learning Neuromorphics". We will develop in this 
project learning algorithms for spiking neural networks for memristive 
hardware implementations.

Please send your application including a CV, any prior thesis and/or 
work by October 20 to
robert.legenstein at igi.tugraz.at

Scalable Learning Neuromorphics project description:

This project aims to develop scalable Spiking Neural Networks (SNNs) by 
leveraging the integration of 3D memristors, thereby overcoming 
limitations of conventional Artificial Neural Networks (ANNs). 
Positioned at the intersection of artificial intelligence and 
brain-inspired computing, the initiative focuses on innovative SNN 
training methods, optimizing recurrent connections, and designing 
dedicated hardware accelerators. These advancements will uniquely 
contribute to scalability and energy efficiency. The endeavor addresses 
key challenges in event-based processing and temporal coding, aiming for 
substantial performance gains in both software and hardware 
implementations of artificial intelligence systems. Expected research 
outputs include novel algorithms, optimization methods, and 
memristor-based hardware architectures, with broad applications and 
potential for technology transfer.

-- 
Dr. Robert Legenstein
Univ.-Professor
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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