met-jobs@lists.reading.ac.uk
March 2012
Message 36

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[Met-jobs] PhD studentship "Statistical-dynamical analysis and modelling of atmospheric variability" at the University of Exeter (UK students only)

From Frank Kwasniok <F.Kwasniok@exeter.ac.uk>
To "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Date Mon, 12 Mar 2012 22:31:06 +0000

Three-year PhD studentship at Exeter Climate Systems (XCS)

College of Engineering, Mathematics and Physical Sciences
University of Exeter, UK

Project: "Statistical-dynamical analysis and modelling of atmospheric
variability"

Exeter Climate Systems (http://emps.exeter.ac.uk/mathematics-computer-science/research/xcs/) is a rapidly growing centre of excellence in the application of mathematics and statistics in weather and climate science. It is located within the College of Engineering, Mathematics and Physical Sciences at the University of Exeter, UK. The centre has close working affiliations with the Met Office and the Hadley Centre.

We are inviting applications for a PhD studentship to start in October
2012 on modelling and analysing atmospheric variability using data-based
statistical-dynamical methods. The project will be supervised by Dr
Frank Kwasniok. The studentship will cover tuition fees plus a stipend at the UK Research Council rate for three years. Full funding is available only for UK students. This project is in internal competition for funding via an EPSRC Doctoral Training Grant. Studentships will be awarded on the basis of merit.

For informal enquiries contact Dr Frank Kwasniok at F.Kwasniok@exeter.ac.uk

Project description:
"Statistical-dynamical analysis and modelling of atmospheric variability"
The project deals with analysis and modelling of atmospheric and climate
variability using data-based statistical-dynamical models. Concepts and
methods from dynamical systems theory, modern time series analysis and
machine learning will be used. Possible directions of investigation are: prediction and predictability of large-scale weather regimes; prediction and predictability of extreme weather events; stochastic subgrid-scale modelling. Studied data sets may range from simple conceptual models, to intermediate-complexity atmospheric models, to reanalysis or observational data.

Application criteria:
The successful applicant should have or expect to achieve at least an
upper second class honours degree, or equivalent qualifications, in a
relevant subject such as mathematics, statistics, physics, meteorology,
oceanography or climatology. The candidate should have a keen interest
in the application of mathematical and statistical methods to problems
in weather and climate science, and preferably some experience of
programming in Matlab and/or Fortran.

How to apply:
To apply, go to
http://www.exeter.ac.uk/postgraduate/degrees/maths/research/ and
complete the online web form.
The application deadline is Friday 23 March 2012.

--
Dr Frank Kwasniok
Lecturer in Applied Mathematics
College of Engineering, Mathematics and Physical Sciences
University of Exeter
Harrison Building
North Park Road
Exeter EX4 4QF
United Kingdom

E-mail: F.Kwasniok@exeter.ac.uk
Tel.: +44 (0)1392 26-3978
Fax:  +44 (0)1392 217965



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