Postdoctoral Researcher in Computational Statistics

We are looking for a Postdoctoral Researcher in Computational Statistics to join our Statistics and Biodemography research group (www.biodemography.uk) effective 1 June 2019, or as soon as possible thereafter. Our group specialises in developing statistical and mathematical theory, and scalable computational methods, crossing boundaries between evolutionary ecology, social data science, and genomics. This post will be connected to a BBSRC-funded research project developing methodology for deep phenotyping based on latent stochastic processes, with applications in human health, genomics, and ageing. Our goal is to provide statistical tools that can keep up with the explosive growth in the availability of high-dimensional genomic and longitudinal data from electronic health records, cohort studies, and biobanks to improve risk prediction, the allocation of health resources, and our fundamental understanding of ageing.

The successful candidate will contribute to the group’s development of relevant stochastic models, and to their realisation in open-source software, and thus must have proficiency at the intersection of high-performance computation and statistics. The candidate will hold, or be close to completion of, a relevant PhD/DPhil and have a demonstrated high-quality publication record. There is some flexibility to shape the role around the expertise and interests of the person hired. Experience with stochastic modelling, sequential Monte Carlo, software engineering, high-dimensional time series, statistical genetics, or event-time analysis would be helpful, but not essential. Ability to solve problems in a collaborative environment is essential.

This post is fixed-term until 31 December 2021, in the first instance.

Only applications received before 12.00 midday on 17 May 2019 will be considered.

Interviews will be held on 31 May 2019.

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Department of Statistics
24-29 St Giles
Oxford
Oxfordshire
OX1 3LB
United Kingdom
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