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Jobs at the University of Reading

Land Surface Processes Computational Scientist

Job Reference : JTR00119
Location : Whiteknights Reading UK
Closing Date : 21/05/2017
Live Date : 24/03/2017
Salary : £29,301 to £38,183 per annum
Employment Type : PM-Other Related
School / Function : School of Archaeology Geography & Environmental Science
Department : Geography & Environmental Science
Hours Per week : 1.00 FTE
Contract Duration : Full-time, Fixed term. Across Meteorology Department and Geography & Environmental Science Department

We seek a motivated and ambitious computational scientist to join the University of Reading’s Land Surface Processes (LSP) team. The post holder will support the University’s LSP programme in all aspects of the modelling workflow, improving the overall technical and scientific performance of land surface models such as JULES, CLM and C-Tessel, including code portability, scalability, data management and analysis, as well as the associated workflow infrastructure. Scientists working in this area utilise and develop world-leading numerical models of the land surface, as used in Global Climate models, for example for IPCC studies, using advanced workstations, cloud computing, as well as the world’s most powerful supercomputers. It is expected that the post holder will enable innovative experimental campaigns, state-of-the-art model intercomparison studies, and will benefit from co-authorship of peer-reviewed papers.

You will have:

  • Experience of working with complex environmental simulation systems and their underlying infrastructure, including code management and documentation for large collaborative groups
  • Excellent computational and programming skills including FORTRAN (90, 95), Python and UNIX/Linux shell scripting
  • Experience of working with Large Data, including data standards (e.g. NetCDF4, HDF5, GRIB2)
  • Experience of developing and debugging parallel codes, including codes for data analysis
  • Knowledge of High Performance Computing (HPC), parallel programming and numerical modelling
  • First degree in a computational or scientific discipline
  • Strong analytic and communication skills.

Informal contact details

Alternative informal contact details

Contact role:

Line Manager

Contact role:

Co-advisor

Contact name:

Pier Luigi Vidale

Contact name:

Anne Verhoef

Contact phone:

+44 (0)118 378 7844

Contact phone:

 

Contact email:

p.l.vidale@reading.ac.uk

Contact email:

a.verhoef@reading.ac.uk

Interview date to be confirmed

The University is committed to having a diverse and inclusive workforce and we welcome applications for job-share, part-time and flexible working arrangements which will be considered in line with business needs.

 

Get in touch

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