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Research Assistant in Statistics Applications are invited for a position of Post-Doctoral Research Assistant in the Department of Probability and Statistics, University of Sheffield. This three-year post is funded by a research grant from the Engineering and Physical Sciences Research Council. The project is to develop novel Bayesian statistical methods to link the condition of water distribution mains to their performance. The problem is of considerable importance to the water industry, and this project is supported by 7 water companies/organisations in England and Northern Ireland. Advanced Bayesian modelling will be used, and will include Markov random fields on networks and MCMC computation. The project will be supervised by Professor Tony O'Hagan, with input from Professor Adrian Saul (Civil and Structural Engineering) and representatives of the water industry partners. This is an exciting opportunity for someone keen to engage in research on leading edge statistical methods with a clear practical focus. Applicants should have, or expect soon to have, a PhD in Statistics or in another field where they have gained substantial experience of advanced statistical methods. Strong mathematical skills are essential, as are good communication skills and a willingness to contribute fully to a team effort. Some prior experience with Bayesian methods will be advantageous but not essential. For further information or informal enquiries, please contact Tony O'Hagan direct by email ([log in to unmask]). Applications, including the names and addresses of two referees, may be sent by email to Tony O'Hagan or by post to the Personnel Department, University of Sheffield, Firth Court, Western Bank, Sheffield S10 2TN, UK. Please quote job reference R2036. Applications close on 27 June 2000. ---- Professor A O'Hagan Email: [log in to unmask] Department of Probability and Statistics University of Sheffield Phone: +44 114 222 3773 Hicks Building Sheffield S3 7RH, UK Fax: +44 114 222 3759 ----------- http://www.shef.ac.uk/~st1ao/ ------------ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%