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Dynamics Research Scientist

Company Met Office Location Various
Contract Permanent Position Salary £22,361 - £32,260
Sector(s) Public Sector, Research, Science, Scientific

Job Description

The Met Office operates at the cutting edge of science and technology and is currently developing new modelling systems for the Exascale era of supercomputing.

The foundation of the Met Office's success in operational numerical weather and climate prediction is its Unified Model (UM). With the opportunities that are being laid down by the advent of new supercomputer architectures and programming paradigms, the time has come to develop a new system. This new model aims to match the UM in its accuracy, stability and time to completion, but extend its scalability to ever increasing core counts and to improve portability across different computer architectures. At the heart of this new model (provisionally known as LFRic after L.F.Richardson), lies a new dynamical core: GungHo. 

Dynamics Research (DR) is responsible for all aspects of the UM's dynamical core: transport schemes, numerical solvers, time-stepping strategies, limited-area and global configurations. This includes maintenance of the current ENDGame core to the development of its replacement GungHo.

The GungHo dynamical core moves away from the finite difference, latitude-longitude representation that is enjoyed by ENDGame and instead achieves accuracy and scalability using finite elements on a cubed-sphere mesh. 

Full-time, part-time and job share applications are invited. The Met Office is an equal opportunities employer and flexible and home working applications will be considered. There will be a requirement for staff to attend training and induction in Exeter initially for 3-4 days per week.

Job Purpose

As part of Dynamics Research and the broader Exascale Programme team, to develop, validate and implement GungHo within the LFRic infrastructure.

Job Responsibilities
  • To undertake fundamental research to develop numerical methods and algorithms for the next generation modelling systems. 
  • To develop the GungHo and LFRic models, so that scalability, accuracy and robustness can be assessed. 
  • Using numerical analysis and carefully designed numerical experimentation, to validate the performance of the prototype model in order to identify any weaknesses in the formulation. 
  • To research, develop and implement solutions to address any weaknesses and improve the performance of the prototype. 
  • To develop the operational prototype with particular attention to optimisation on a massively parallel supercomputer architecture to ensure the benefits of the new dynamical core are realised. 
  • To publish results within international peer-reviewed journals and present results at international conferences to maintain scientific credibility and the Met Office’s reputation.
Essential Qualifications, Skills & Abilities
  1. Background in a mathematical or physical science with at least a good second-class degree in a mathematics-based subject or equivalent experience
  2. For Scientist: A PhD in mathematics or a physical science or equivalent research experience
  3. Proven ability to conduct scientific research, displaying initiative, and critical and mathematical skills. 
  4. Evidence of the motivation and drive to overcome obstacles in order to solve scientific problems. 
  5. Evidence of good oral and written scientific communication skills (e.g. writing reports, giving presentations).
Desirable Qualifications, Skills & Abilities
  1. Evidence of ability to perform numerical analysis and apply it to practical problems. 
  2. A good fluid dynamical background, particularly of geophysical fluid dynamics. 
  3. Experience of a scientific computing environment, for example using Fortran, Python or UNIX/LINUX, especially in the context of a Met Office system.
Additional Supplementary Information

To apply, please click on the ‘apply’ button below. 

Key Dates: Closing date 

06/01/19

 with interviews expected 28/01/19. Please note that you will be notified if you are successful or unsuccessful.  

This role will nominally be based in Exeter but we will consider applicants wishing to work elsewhere within the UK. There will be a requirement for staff to attend training and induction in Exeter initially for 3-4 days per week.

Dynamics Research has a very close working relationship with one of the Met Office Joint Chairs at Exeter University as well as significant interaction with a number of other universities and the UM Partners. The post therefore offers considerable opportunity for personal development in a number of complementary areas.

This recruitment post is not offering UK Visa and Sponsorship and therefore requires all applicants to be eligible to work within the UK / EU without restriction. If you are a non–EU candidate you will be required to provide and attach all relevant eligibility documentation to your application at the time of applying. 

This post requires you to gain full security clearance due to the nature of the role. Therefore, in order obtain full clearance you will need to have lived at the same address in the UK for 2 years out of the last 5 years, or lived in the UK for 3 out of the last 5 years if you have lived at various addresses. 

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