Postdoctoral Research Assistant in Machine Learning

University of Oxford - Department of Engineering Science

We are seeking a full-time Postdoctoral Research Assistant to join the machine learning research group at the Department of Engineering Science (central Oxford). The post is fixed-term to 31 May 2018. The post will involve work on two projects (sequentially): the first funded by Pearson and Nesta (until 28 February 2017) and the second by the Health Foundation (thereafter).

Your role in both projects is to develop novel probabilistic machine learning algorithms for economic data characterising the future of employment. The first project aims to shed light on the mix of skills and competencies that will be required for the types of jobs that the US and UK economies will need in 15 years’ time, and has been described in blog posts from Pearson and Nesta, and in media coverage from Quartz. The second project examines automation and computerisation in UK primary healthcare delivery.

You should possess a good first degree in engineering, computer science, mathematics, statistics, economics or similar, with specialisation in probabilistic models and have or are about to complete a PhD in a relevant area.

Informal enquiries may be addressed to Professor Michael Osborne (email:

Further information can be found at:

Only applications received before 12.00 midday on 5 January 2017 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

The department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

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South East England