From time to time vacancies arise within the department. Posts will be advertised on this page as and when they arise.

Research Fellow in Data Science and Food

The post holder will be expected to conduct research focussed on developing statistical theory and methodology for high dimensional data methods and their application, including, for example, the development of statistical methodology leading to new network community detection methods; statistical modelling of network heterogeneity in the context of exchangeability, and associated asymptotic theory; approximate inference algorithms for large networks and random arrays; and applications to the study of large and heterogeneous data sets collected for the study of foodborne illnesses.

Candidates should hold or be close to submitting a PhD (or equivalent qualification) in Statistics, or a closely related field. It is essential that the successful candidate has experience in the use and development of probability theory or statistical methodology for network modelling, programming skills in R or Matlab, an interest in data analysis and the ability to communicate research outcomes to a range of audiences.

Based in the Department of Statistical Science, in collaboration with the Food Standards Agency, the post is available from September 2016 and is funded for 5 years in the first instance.

Closing date: 19 October 2016

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