About the Project
Random encounter models are a method to estimate population density from unmarked populations by using auxiliary information on how individuals move: if you know how individuals move, you can estimate how many times a single individual would be encountered, and so deduce how many individuals produced the total number of encounters observed.
This PhD project will focus on developing random encounter models (REM) in one or more of the following ways: (1) construct a maximum likelihood based framework for estimation; (2) incorporate alternative models for animal movement; (3) extend density and encounter models to vary, with correlation, spatially and temporally; (4) build joint models for partially marked populations.
This project is supervised jointly by David Borchers and RIchard Glennie in St Andrews, together with Marcus Rowcliffe (institute of Zoology, Zoological Society of London).
Applicants should have a good first degree in mathematics, statistics or another discipline (e.g., biology, computer science), with substantial statistical component. A masters-level degree is an advantage.
Further details of the application procedure, including contact details for the Postgraduate Officer, are available at http://tinyurl.com/StAndStatsPhD
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