*
PhD Studentships in mathematical & statistical aspects of emerging
wildlife disease surveillance in the EU*
Scottish Agricultural College (SAC)
Biomathematics & Statistics Scotland (BioSS)
& University of York (UoY)
http://www.bioss.ac.uk/appointments/phd_edin_Feb_10.html
Applications are invited for two 3-year PhD studentships (detailed
below) in this area to be supervised jointly by SAC, BioSS and the
University of York (UoY). The studentships include full university fees
(for EU nationals) and a tax-free maintenance allowance. The successful
candidate will be registered at the UoY.
Applicants should have good communications skills and have obtained, or
shortly expect to obtain, at least a first or upper second class
Bachelors degree (or equivalent).
An Application pack is available from Claire Anderson, Scottish
Agricultural College, Sir Stephen Watson Building, Bush Estate,
Penicuik, Midlothian EH26 0PH. Fax: (0131) 535 3121,
[log in to unmask] To informally discuss the positions, please
Email: Mike Hutchings ([log in to unmask]) or Glenn Marion
([log in to unmask])
CLOSING DATE : Monday 29th March 2010
_PhD 1 (based in Edinburgh): Wildlife disease distribution in the EU_
The project will have access to the WildTech database containing the
infection screening results for wildlife samples from across the EU.
Using statistical modelling the project aims to demonstrate the
epidemiological power of the surveillance system. This project is an
opportunity for a candidate wishing to develop a research career in
epidemiology and would suit someone with an interest in wildlife
ecology, well-developed quantitative skills and some statistical
modelling experience. Experience of GIS would also be an advantage.
_PhD 2 (based in Edinburgh): Quantitative risk assessment of wildlife
disease emergence across the EU_
Developing epidemiological modelling frameworks of disease dynamics in
EU host communities to quantify the risk of disease introduction,
emergence and persistence to establish the best practice for the
deployment of the surveillance system. This project is an excellent
opportunity for a candidate wishing to develop a research career in the
field of mathematical biology, and the computational, mathematical and
analytical skills developed during the project will be widely
transferable. The project will employ a range of techniques such as
stochastic processes, differential equations, moment-closure and
computational statistical methods e.g. Markov chain Monte Carlo. The
project will suit someone with a strong mathematical and programming
background and the wish to apply these skills to a biological problem.
_Further Details_
The students will benefit from a lively and supportive environment for
statistical and mathematical research stimulated by close links with
biological scientists. BioSS is one of the leading European research
groups in the application of mathematics and statistics in the
biological sciences, and both SAC and BioSS are partners in a new
collaborative Centre of Excellence in veterinary epidemiology. UoY is
one of the UK's leading research Universities, and the Environment
Department's research on sustainable solutions to environmental problems
is internationally recognised. For more information on SAC, BioSS and
UoY please visit our web sites at http://www.sac.ac.uk and
http://www.bioss.ac.uk and http://www.york.ac.uk.
--
________________________________________________________________________
Glenn Marion
Biomathematics & Statistics Scotland,
James Clerk Maxwell Building, The King's Buildings Edinburgh EH9 3JZ
[log in to unmask] www.bioss.ac.uk/staff/glenn.html
Videoconference IP: 212.219.57.202 (up to 1 Mbps)
Tel : +44 (0)131 650 4898 Fax : +44 (0)131 650 4901
________________________________________________________________________
Biomathematics and Statistics Scotland (BioSS) is formally part of The
Scottish Crop Research Institute (SCRI), a registered Scottish charity
No. SC006662
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|