Biomathematics & Statistics Scotland (BioSS) seeks to appoint a research 
fellow or senior research fellow with a strong quantitative background 
to develop stochastic modelling and advanced methods of statistical 
inference within a new collaborative Centre of Excellence in veterinary 
epidemiology. This exciting initiative links six university and research 
institute partners and aims to consolidate Scotland’s leading position 
in animal epidemiology.

Potential applications include: developing and fitting dynamic network 
models for the spread of disease through unobserved contact structures 
between animals or between farms; making inference for infection models 
with observation processes consistent with field surveillance practice 
and modelling local spatio-temporal spread of infection between 
neighbouring farms. However, depending on skills and experience the 
post-holder will have the opportunity to develop other relevant research 
interests in collaboration with staff from the six partner 
organisations. More details of the proposed research plans are available 
at http://www.bioss.ac.uk/appointments/epic_scientific_programme.html.

Our ideal candidate will have either a PhD or an MSc/MRes in a highly 
quantitative field such as statistics, physics or mathematical biology. 
The candidate should meet at least some of the following requirements: 
knowledge of computationally intensive methods of statistical inference 
such as Markov chain Monte Carlo; broad statistical understanding; 
application of stochastic methods in modelling biological systems. 
Evidence of a personal contribution to published research will be 
required for appointment to the higher grade. Experience in statistical 
epidemiology would be an advantage. Excellent verbal, inter-personal and 
written communication skills, the ability to work independently, and 
enthusiasm for collaborative inter-disciplinary research are all essential.

The post will be based at the science campus of Edinburgh University, 
offering a rich and multidisciplinary research environment. BioSS has 
over 30 staff based at four different sites in Scotland. BioSS is one of 
the largest European research groups in the application of mathematics 
and statistics in the biological sciences, and provides a stimulating 
and supportive environment for applied statistical and mathematical 
research. For more information on BioSS in general please visit our web 
site at http://www.bioss.ac.uk/

Two starting grades are available, depending on experience, with 
salaries on incremental scales in the ranges £25.5 - £28.4K or £31.9 - 
£36.0K (further progression subject to performance), plus contributory 
pension scheme.

To apply, please send a CV and covering letter to 
[log in to unmask], quoting the relevant reference number. The 
application should include your education and employment history, a full 
publication record, names and addresses of three referees and a short 
description of why you consider yourself suitable for this post.

To discuss the post informally contact Iain McKendrick (+44 (0)131 650 
4894; [log in to unmask]) or Glenn Marion (+44 (0)131 650 4898; 
[log in to unmask]).

Post Ref: BioSS/1/8 CLOSING DATE: Monday 26th May 2008

-- 
Iain McKendrick
Principal Consultant, Animal Health and Welfare
Biomathematics & Statistics Scotland

(Web Page: http://www.bioss.ac.uk/staff/iain.html)

Biomathematics and Statistics Scotland (BioSS) is formally part of The Scottish Crop Research Institute (SCRI), a registered Scottish charity No. SC006662 


Biomathematics and Statistics Scotland (BioSS) is formally part of The
Scottish Crop Research Institute (SCRI), a registered Scottish charity
No. SC006662