Data Analytics

The current burst of interest world-wide in the area of Data Analytics, combined with the recent major grants awarded to Leeds by the Economic and Social Research Council and the Medical Research Council, represents a unique opportunity for you to join the School of Mathematics and to become a key part of its transformation in this field. The School has a strong Statistics department that focuses on theoretical aspects of statistics, both generally and in bioinformatics, and a growing group in Applied Mathematics that uses Complexity Science ideas to understand how influence is propagated in social networks.

You will have a background in computational or applied statistics or mathematics, with interests in (for example) Bayesian machine learning, hidden Markov models or other graph theoretic computational approaches that may be used in probabilistic network modelling or computational linguistics, or in the fundamental mathematical challenges behind economic, social or population modelling.

You will develop a research profile addressing the mathematical hurdles that must be overcome in order for meaningful progress to be made in Data Analytics, in the context of problems that must be tackled in a fundamentally interdisciplinary way, you will represent the School of Mathematics in the newly formed Leeds Institute for Data Analytics (see  You will contribute to the School’s ambition to excel in REF2020, with a sustained record of internationally excellent publications and the potential for your research having impact outside Mathematics.

You will co-supervise PhD students and be expected to contribute to the development and delivery of educational materials and programmes at undergraduate, Masters and PhD level.

You will have significant proven research experience within the field of Data Analytics or related areas, the ability to teach at both Undergraduate and Postgraduate level, as well as a clear and compelling vision for personal academic development.

University Grade 8 (£38,511 to £45,954)

For informal enquiries about the role please contact Professor Alastair Rucklidge, tel: +44 (0)113 343 5161, email:

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