Department of Engineering

We are seeking three postdoctoral researchers to join an exciting and significant research programme Machine Learning for Tomorrow which is jointly run by the Cambridge Machine Learning Group at the University of Cambridge (http://mlg.eng.cam.ac.uk/) and Microsoft Research Cambridge (https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/).

The goal of the programme is to develop new fundamental machine learning tools that will enable AI systems to be deployed in an efficient, flexible, robust and automated way. These new tools will be tested on a range of tasks drawn from healthcare, productivity tools, and gaming.

The postholders will be supervised by Dr Richard E. Turner and Dr José Miguel Hernández Lobato from the Machine Learning Group in the Department of Engineering. The projects will be co-supervised by Dr Andrew Fitzgibbon, Dr Katja Hofmann, Dr Aditya Nori, and Dr Sebastian Nowozin at Microsoft Cambridge.

The programme is funded by Microsoft Research and an EPSRC Prosperity Partnership grant.

Key responsibilities include working on deep learning, probabilistic modelling, computer vision, Bayesian methods, Bayesian optimisation, deep learning for structured data (including graph neural networks), meta-learning, automated machine learning, continual learning, few-shot learning.

http://www.jobs.cam.ac.uk/job/26878/