The Engineering and Physical Sciences Research Council in the UK is funding a large interdisciplinary project to develop statistical methodology for the estimation of the effects of air pollution on human health. 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 collaborative project: 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. The RF in Southampton will be supervised by Dr Sujit Sahu while the RF in Glasgow will be supervised by Dr Duncan Lee and Prof Richard Mitchell. Both fellows will work closely with each other and the project partners. In addition, they will benefit from advice from the Visiting Researcher on the project, Prof Alan Gelfand (Duke University, USA).
The closing date for applications is 26th June, 2012 for the Southampton position, and 29th June 2012 for the Glasgow position.
- Southampton post : https://www.jobs.soton.ac.uk/ (reference: 119712WT).
- Glasgow post: http://www.gla.ac.uk/about/jobs/ (reference: E20219).