Senior Researcher in Inference for Process Modelling
Salary: £33,780 - £37,534 – plus contributory public sector pension
Biomathematics & Statistics Scotland (BioSS) has an international
reputation for methodological development in statistics, mathematical
modelling and bioinformatics. BioSS offers a stimulating working
environment, with over 30 staff at four different locations, working on
applications in plant science, animal health and welfare, ecology &
environmental science and nutrition & human health.
We seek an experienced statistician/stochastic process modeller with
excellent technical and interpersonal skills to be based at our
Edinburgh office. The postholder will undertake methodological research
in support of collaborations with biological scientists, including the
development and application of novel methods for model selection and
parameter estimation in stochastic process models. Most of this work
will be undertaken as part of a Scottish Government initiative to reduce
the impact of animal disease outbreaks, to be delivered by the
continuation of a current collaboration between research institutes and
universities on epidemiology, population health and disease control.
Applicants should have:
• a strong mathematical background with experience of developing,
parameterising and applying stochastic process models in a research
environment;
• enthusiasm for collaborating with biological scientists, applying your
mathematical skills to further scientific understanding and provide
guidance to non-scientists such as government policy makers.
Further information on the above post, including how to apply, is
available on the BioSS website at http://www.bioss.ac.uk/vacancies.html
Closing date – Thursday 23rd June 2011, Post Ref - BioSS/3/11.
Potential applicants may contact Dr Glenn Marion, (tel +44 (0) 131 650
4898), in confidence to discuss the post.
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Biomathematics and Statistics Scotland (BioSS) is formally part of The
James Hutton Institute (JHI), a registered Scottish charity No. SC041796
and a company limited by guarantee No. SC374831
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