RESEARCH FELLOW IN STATISTICS/FISHERIES
University of St Andrews, School of Mathematics and Statistics
This EC funded project will develop statistical methodology for improved
model selection and modelling of interactions in Generalized Additive
Models (GAMs) and will apply the methods to modelling of sardine and
anchovy egg abundance and spatial distribution off Spain and Portugal.
The post is based in the large and active Research Unit for Wildlife
Population Assessment (RUWPA). The statistical questions to be addressed
are: how should the degrees of freedom in a GAM be chosen? How should
interactions be modelled in a GAM setting? How can these things be done in
a computationally efficient way? This will build on work already done at
St. Andrews (http://www.ruwpa.st-and.ac.uk/simon/gam.html).The biological
questions are: what is our best abundance estimate for sardine and anchovy
eggs (and hence adults) in the populations of interest, and how are these
abundances changing over time? What are the environmental determinants of
egg abundance/distribution? Answering these questions is important for
management, and for assessing the impact of environmental change. Earlier
work on this is at:
http://www.ruwpa.st-and.ac.uk/projects/fish/mackerel/mack.html.
The ideal candidate will have a good honours degree and preferably a PhD
in a quantitative subject with a statistical component. Experience with
some of the following would be an advantage: GLMs/GAMs; C/C++; Splus/R;
fisheries assessment methodology.
The post is initially for 3 years with salary at the appropriate point on
the 1A or 1B scale for research staff, i.e.16,286- 24,479 per
annum. Direct informal enquiries to Prof. Steve Buckland
([log in to unmask]), Dr. David Borchers ([log in to unmask]) or
Dr. Simon Wood ([log in to unmask]).
Closing Date: March 27th 2000
Reference No: ML101/SMC1/00
Application forms and further particulars from Personnel Services,
University of St Andrews, College Gate, North Street, St Andrews, Fife
KY16 9AJ, (tel: 01334 462571 (24hrs), by fax 01334 462570 or by e-mail
[log in to unmask]). We regret applications cannot be made by
e-mail. The University operates Equal Opportunities and No Smoking
Policies.
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