Research Associate - Electrical Engineering
The post is funded by Intel for a period of 12 months. The post-holder will work, in collaboration with the Principal Investigators (Prof. Osvaldo Simeone and Dr. Bipin Rajendran) on the problem of designing and implementing Bayesian learning algorithms for Spiking Neural Networks.
The post will be based in the Department of Engineering at the Strand campus of King's, located in the centre of London.
The successful candidate should have a PhD in Electrical Engineering with expertise in machine learning and signal processing. Ideally, the candidate should also have working experience on Bayesian learning and/or neuromorphic computing and Spiking Neural Networks (SNNs).
This post will be offered on a fixed -term contract for 1 year or until 28 February 2022
This is a full-time post - 100% full time equivalent