Computational Modelling Group

Fixed Term Research Assistant, College of Science, Department of Geography, Swansea University

Apply by
14th July 2011
Petrina Butler

Fixed Term Research Assistant

College of Science, Department of Geography,59181,en.php

Post Reference: 5856

Salary scale: £26,629 to £29,972 per annum (pro rata if part time).

Closing Date: 14 Jul 2011


Applicants are invited for the post of Fixed Term Research Assistant in the College of Science, Department of Geography, reference 5856.

The individual will conduct research in climate modelling in support of the National Centre for Earth Observation. This research focuses on the improvement of the Met Office JULES land-surface model. JULES is written in Fortran 90, and calculates the fluxes of carbon, water and energy from the land to the atmosphere, it combines models of various land-surface processes, e.g., evapotranspiration, photosynthesis and energy exchange. JULES can be used as a stand-alone model or can be coupled to a general circulation model of the atmosphere. The objective of the work is to improve the integration between the JULES model and satellite data. This will involve improving the calculation of absorption and scattering of solar radiation by the land surface vegetation in JULES.

The individual is expected to publish their research in the peer reviewed literature, and to present their research at conferences.

It is the intention that improvements made to the JULES model will, after due process, be incorporated in future releases of JULES.

The job requires a PhD in Earth Sciences, Atmospheric Sciences, Geophysics, Physics, Computer Science, Geography or a related field. The candidate must have very good numerical skills and should be familiar with optimization and inversion techniques, and statistical analysis. It is essential that the candidate is proficient in at least 1 computer language, preferably Fortran 90 or C or C++. The candidate must be a good communicator and should be able to work in teams as well as independently. The candidate should have a workable knowledge of the UNIX / Linux operating system. Familiarity with remote sensing techniques, in particular radiative transfer in vegetation canopies, is desirable. Experience supervising projects is an advantage.

Informal enquiries may be made to Dr Sietse Los or by telephone +44(0) 1792 295144) or Dr Peter North or by telephone +44(0) 1792 295234.

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