UNIVERSITY OF CAMBRIDGE STATISTICAL LABORATORY

Postdoctoral Fellowships in Stochastic Analysis

Applications are invited for one or more postdoctoral fellowships in Stochastic Analysis in the Statistical Laboratory of the University of Cambridge. These fellowships are funded jointly by the Isaac Newton Trust and by the TMR Programme of the European Union. They form part of a wider scheme to support young researchers in Stochastic Analysis in a group of European universities participating in the network in Stochastic Analysis and its Applications. Each fellowship will last for between six months and two years. It is anticipated that at least two years of funding will be available for fellowships in Cambridge. Applicants must come from a member state of the European Union or an Associated State. UK residents may not apply to Cambridge. Applicants are asked to apply by 31st January 1998, although applications after this date may be considered. We expect that most of this round of fellowships will begin on 1st October 1998.

Potential applicants are encouraged to contact one or more of the individuals listed below to discuss the content of any post-doctoral proposal. Formal applications may be made either by following the web link to the main network pages at Imperial College, London, or by writing to the following address: Director, Statistical Laboratory, 16 Mill Lane, Cambridge CB2 1SB, UK (e-mail: lab@statslab.cam.ac.uk, Tel: +44 1223 337958, Fax: +44 1223 337956).

The following list will serve to indicate the range of topics in Stochastic Analysis and related areas currently under research at Cambridge: stochastic differential equations, stochastic partial differential equations, branching and measure-valued diffusions, large deviations, Dirichlet forms, analysis of heat kernels, rates of convergence for Markov processes, homogenization, stochastic analysis on manifolds in finite and infinite dimensions, Malliavin calculus, percolation, spatial processes, phase transition in random systems, mathematical finance, stochastic networks.

A link is provided to the main web-site of the network for further details of eligibility and the full applications procedure.