Please bring this to the attention of any potential applicants.
Thanks,
Steve
----------------------------
University of Surrey
SCHOOL OF ELECTRONIC ENGINEERING,
INFORMATION TECHNOLOGY AND MATHEMATICS
DEPARTMENT OF MATHEMATICS AND STATISTICS
Post 1887 Research Fellow in Stochastic Modelling of Wildlife Populations
Salary up to 18,185 GBP depending on qualifications and experience
Post 1777 Research Fellow in Modelling & Analysis of Degradation Data
Salary up to 18,915 GBP depending on qualifications and experience
Post 1887 Applications are invited for this challenging 24 month EPSRC funded post forming a
central component of a three year programme of research and led jointly by Dr S P Brooks
(Surrey) and Professor B J T Morgan (Kent).
The project deals with the statistical study of wildlife populations and is of vital
interest to ecologists interested in the impact of environmental and other factors
affecting population dynamics. The appointed person will focus upon the development of
complex hierarchical modelling structures to fully describe the underlying population
dynamics. This will involve the use of powerful Bayesian computational techniques for
model fitting and selection and close liaison with other members of the research group
and with external collaborators.
Informal professional enquiries may be made to Dr Steve Brooks, telephone
(+44)(0)1483 879644 or email: [log in to unmask] Further details of the project are
available on the Web at http://www.mcs.surrey.ac.uk/Personal/S.Brooks/Wildlife
Post 1777 Applications are invited for the remaining 17 months of this EPSRC funded
project on modelling and analysis of degradation data conducted by members of the
Department's Statistics group.
There are many situations in Reliability and Survival Analysis where the basic lifetime
data are supplemented by more detailed statistical information on the degradation of the
"unit" prior to failure. The topic involves physical and stochastic modelling of the
degradation process and inferential and computational techniques for statistical data
analysis. Some of this work has a Bayesian character and involves suitable simulation-based
and other computational techniques. The successful candidate will have, or is expected to
obtain shortly, a PhD in Statistics or equivalent.
Informal professional enquiries can be directed to Dr Karen Young, telephone
(+44)(0)1483 259640 or email: [log in to unmask]
For an application pack please quote the relevant Post Number and contact Mr K E Sivyer,
School Personnel Administrator, School of EE, IT & Maths, University of Surrey, GUILDFORD,
GU2 5XH, telephone (+44)(0)1483 876125 (answerphone) or 259133 during office hours.
Email: [log in to unmask] Closing date for applications Tuesday 26th October 1999.
--
Steve Brooks.
Statistics Group Phone: +44 (0)1483 879644
University of Surrey Fax: +44 (0)1483 876 071
Guildford Email: [log in to unmask]
Surrey Home Page: http://www.mcs.surrey.ac.uk/Personal/S.Brooks/
GU2 5XH
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