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August 2016
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[Met-jobs] Opportunity - Computational Scientist in Land Surface Processes, NCAS, Reading

From "Nicola Bray" <nicola.bray@ncas.ac.uk>
To "Met-Jobs" <met-jobs@lists.reading.ac.uk>
Date Mon, 1 Aug 2016 15:44:54 +0100

Computational Scientist in Land Surface Processes

Vacancy Reference: SF14088

Closing Date: 31st August 2016

Salary: £28,982 - £37,768

Start date: As soon as possible

Interview date: TBC

 

The postholder will support the University of Reading Land Surface Processes programme in all aspects of the modelling workflow, improving the overall technical and scientific performance of land surface models such as JULES and C-Tessel, including portability, scalability, data handling and analysis, as well as the associated workflow infrastructure. This activity is part of the University's Environment Theme and relates to a number of research divisions within this theme (e.g. Climate-, Weather-, Environmental Science and Earth Observation and Space Divisions), as well as a number of cross-cutting research Institutes (Walker Institute) centres (Centre for Past Climate Change; Soil Research Centre) and clusters (LandSurfaceProcesses@Reading, Water@Reading). Our staff working in this area utilise and develop world leading numerical models of the land surface, using advanced workstations, cloud computing, as well as the world's most powerful supercomputers. We currently engage internationally in the co-design of modelling systems that span conceptual models all the way to complex numerical models. Further particulars are available on request.

 

You will have:

-          Excellent computational and programming skills including FORTRAN, UNIX, Python and UNIX/Linux shell scripting

-          Experience of working with large, complex environmental simulation systems and underlying infrastructure, including code documentation and management

-          Knowledge of High Performance Computing (HPC) and numerical modelling

-          Experience of developing and debugging parallel codes

-          First degree in a numerical or scientific discipline

-          Strong analytic and communication skills

 

Informal contact details

Contact role: Line Manager

Contact name: Pier Luigi Vidale

Contact phone: +44 (0)118 378 7844

Contact email: p.l.vidale@reading.ac.uk

 

Alternative informal contact details

Contact role: Co-advisor

Contact name: Anne Verhoef

Contact email: a.verhoef@reading.ac.uk

 

Please apply below or contact Human Resources, University of Reading, Whiteknights, PO Box 217, Reading RG6 6AH. Telephone +44(0)118 378 6771 (voicemail)

 

http://www.reading.ac.uk/15/about/jobs/about-job-details.aspx?vacancy_id=070264Ayq6

 

Please quote the relevant reference number. 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.

 

Attachment: 14088_JDPS_LSM_Post.pdf
Description: Adobe PDF document



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