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

Research Associate in Statistics for Point Process Data

The post holder will be expected to conduct research in Statistics related to the EPSRC funded project: "Modelling and inference for massive populations of heterogeneous point processes". Led by Professor Sofia Olhede, the project is focussed on developing statistical theory and methodology for point process inference, including, for example, the development of statistical methodology leading to new estimation methods for point processes. This post will include the opportunity to visit collaborating researchers at Princeton University and/or the National University of Singapore.

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 for point process modelling, programming skills in R or Matlab, an interest in data analysis and excellent communication skills.

The post is available immediately and is funded for 3 years in the first instance.

Closing date: 13 December 2015

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