Job reference: SRF28638
Location: Whiteknights Reading UK
Closing date: 31/05/2019
Job live date: 01/05/2019
Salary: £30,395 to £39,609 per annum
Employment type: AR-Research
Department: School of Mathematical Physical & Computational Sciences
Hours per week: 1.00 FTE
Employment Basis/Type: Full-time,Fixed-term up to 3 years
The National Centre for Atmospheric Science (NCAS) wishes to recruit an outstanding computational scientist to play a key role in the new NERC-funded Hydro-JULES programme which will create a community hydrological model for next generation land-surface and hydrological science in the UK.
The National Centre for Atmospheric Science in partnership with the Centre for Ecology and Hydrology (CEH) and the British Geological Survey, will deliver the Hydro-JULES programme to develop a state-of the art terrestrial hydrological model to couple to the JULES land-surface model and related hydrological models. This is an exciting opportunity for a dynamic and innovative computational scientist to work at the interface between weather, climate, and hydrological science.
The post holder will be responsible for designing, developing, and implementing flexible interfaces between model components and in and between the Hydro-JULES hydrological model and other Earth system model components. She/he will be also be intimately involved in the testing and support of this model in the community, and will collaborate with scientists and computational modellers from partner organisations.
The post will be managed from within the NCAS-Computational Modelling Services (CMS) group at the University of Reading where the post holder will be expected to spend one day a week. The remainder of the time will normally be spent at the Centre for Ecology and Hydrology in Wallingford, working as part of the Hydro-JULES core team.
NCAS-CMS provides computational modelling services to the UK Climate and Weather research communities, develops software in-house and is responsible for installing and maintaining world-leading climate modelling systems on the UK’s most powerful high-performance computers.
You will have:
● Skill in developing new theoretical approaches and implementing them in a high-level scientific programming language (FORTRAN,C, C++)
● A relevant PhD (or equivalent experience)
● Knowledge of numerical simulation and/or component model coupling technologies
● Experience of implementing complex computational models on high-performance computing platforms
● An aptitude for working in interdisciplinary research teams