In the UK, air pollution is estimated to reduce average life expectancy by around 6 months, with corresponding equivalent health cost of £19 billion annually. Estimation of the effects of air pollution on human health is a complex task for a number of reasons: misalignment of health and air pollution data in both space and time; the existence of spatio-temporal correlation; and the presence of confounding factors. The Engineering and Physical Sciences Research Council is funding a large interdisciplinary project to develop statistical methodology to address these issues. The main goal of the project is to combine spatio-temporal models for pollution and health data into a single large hierarchical Bayesian model. Two Research Fellow (RF) positions in Statistics are available as part of this exciting collaborative project, which will involve air quality modellers, climate scientists, epidemiologists and statisticians at the Universities of Southampton and Glasgow, and at the Met Office. One RF position will be within the Southampton Statistical Sciences Research Institute (S3RI) and Mathematics at the University of Southampton and the second position will be in the School of Mathematics and Statistics at the University of Glasgow.
Applicants for the positions should have, or be about to obtain, a PhD in statistics, or have equivalent research experience. Preference will be given to applicants with a background in Bayesian statistical modelling, especially spatial/spatio-temporal modelling, and Markov chain Monte Carlo.