Postdoctoral Research Associate in Network Data Science, Statistics and Probability

Applications are invited for Postdoctoral Research Associate positions in Network Data Science, Statistics and Probability to work on an EPSRC-funded programme on Network Stochastic Processes and Time Series (NeST).

NeST brings together the Universities of Bath, Edinburgh, Imperial College London, the London School of Economics and Political Science, Oxford and York, with industrial and government partners BT, EDF, the GCHQ, the Office for National Statistics, Microsoft and FNA.

Stochastic network data are of rapidly increasing ubiquity in many fields such as medicine, transportation, cybersecurity, the environment, finance, biology and economics, and NeST aims to achieve a step change in the modelling and prediction of evolving, inter-connected stochastic network processes.

As part of the NeST team, you will contribute to realising a substantial coordinated push to create, develop and apply innovative new models, computational techniques and/or underpinning theory, in response to real applied problems spurred by dynamic networks in many contexts.

Initially, you will be attached to one or two research projects led by one or two Imperial College investigators (Ed Cohen, Nick Heard, Guy Nason or Almut Veraart; and line managed by one of them).

As part of the NeST team, you will have access to, and potential opportunities to work with a larger team consisting of additional academics (Marina Knight, Matt Nunes, Gesine Reinert, Patrick Rubin-Delanchy and Qiwei Yao) collectively covering a wide range of research in NeST areas, and a growing cohort of postdoctoral and PhD student colleagues spread over the constituent universities.