A statistician, applied mathematician or physicist is required to work on the interface between mathematical modelling and problems of statistical estimation in ecological population dynamics. The work will concentrate on maximum likelihood estimation of parameters of nonlinear ode, pde and matrix models using a range of modern techniques. The post offers the opportunity to collaborate in a strategically important area of statistics that will help to link ecological and environmental experimentation with mathematical modelling.
The post would ideally suit a statistician with experience in maximum likelihood estimation or an applied mathematician or physicist with experience in nonlinear modelling but others with qualifications in other areas of statistics and modelling are encouraged to apply. Willingness to use recent advances in maximum-likelihood estimation is essential. A Ph.D. is desirable but applications from candidates with an M.Sc in an appropriate discipline will also be considered.
The position will be based in Cambridge, within a group working on theoretical and experimental aspects of plant, animal and microbial populations. The Research Assistant will also work in the Statistics Department at Rothamsted Experimental Station (about 60 mins drive away). A valid driving licence is therefore essential. The project will be jointly supervised by Dr C.A. Gilligan, a mathematical biologist, and Mr G.J.S. Ross, statistician, and developer of the maximum likelihood package (MLP) for the estimation of parameters of a broad class of nonlinear models.
Applications, including a Curriculum Vitae and the names of two referees should be sent to:
Dr C.A. Gilligan, Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge, CB2 3EA, by 2 JULY 1996 from whom further details may be obtained. -- Adam Kleczkowski, Dept. of Plant Sciences, Univ. of Cambridge Downing Street, Cambridge CB2 3EA, England tel. (+44)(1223)330229, fax (+44)(1223)333953, e-mail email@example.com, WWW http://www-epidem.plantsci.cam.ac.uk