Postdoctoral Research Assistant in Computational Statistics and Statistical Machine Learning

Applications are invited for a full-time Postdoctoral Research Associate to join the new Computational Statistical Inference for Engineering and Security (CoSInES) project. This is a timely project developing new theory and methodology within Statistical Science and Scalable Computational Statistics, with particular focus on applications within the exciting new areas of Data-Centric Engineering and Defence and Security. This £3M programme is funded by the EPSRC, and brings together research groups from the Universities of Lancaster, Bristol, Oxford and Warwick. A major project partner will be the Turing, in particular its programmes on Data-Centric Engineering (DCE) and Defence and Security (D&S).

The postholder’s main duties and responsibilities will include undertaking innovative research as part of a team of researchers working towards the goals of the CoSInES project. The work will involve at least some of the following areas: statistical science, computational statistics, high-performance computing, theory and methodology of stochastic algorithms, scalable methods, data-centric engineering, defence and security. Other responsibilities include managing own academic research and administrative activities, including small scale project management.
Applicants are sought who hold or is close to the completion of a PhD/DPhil in statistics or closely related discipline. The successful candidate will have experience of statistical programming in R/C or equivalent languages, a demonstrable ability to publish, including experience of producing high-quality academic writing and previous research experience relevant to the research programme.

Queries about this post should be addressed to: Professor Arnaud Doucet: doucet@stats.ox.ac.uk or Professor Judith Rousseau: judith.rousseau@stats.ox.ac.uk.

This post is fixed-term until 30 September 2023.

Only applications received before 12.00 midday on 20 January 2020 will be considered. Interviews will be held on Friday 7 February 2020.

Organisation: 
Job location: 
24-29 St Giles
Oxford
Oxfordshire
OX1 3LB
United Kingdom
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