|From||"Giblin, Laura" <email@example.com>|
|Date||Thu, 25 Apr 2013 09:54:53 +0000|
Would it be possible to advertise the following job opportunity at the Met Office, Exeter, please? Please send through the link when it is live.
DATA ASSIMILATION SCIENTIST
Salary: Starting £25,500 and for exceptional candidates up to £29,100 or £29,930 and for exceptional candidates up to £35,040 + competitive benefits, including Civil Service Pension
Generic role: Scientist or Senior Scientist
Profession: Science and Engineering
Permanent. Full time at Met Office, Exeter
Opening date for applications: 12 April 2013
Closing date for applications: 26 May 2013
The Data Assimilation and Ensembles (DAE) section of Weather Science undertakes research and development in observations processing, data assimilation and ensemble forecasting. The work of DAE is focussed on improving the quality of Met Office forecasts, especially of severe weather over the UK.
Objectives of the Ensemble-Variational Data Assimilation Group are research and development of a unified ensemble-variational data-assimilation capability suitable for all Met Office model configurations (global/convective-scale). Specific objectives are a) Research towards the development of next-generation ensemble-variational data-assimilation capabilities, b) Improving the use of ensemble information within the current hybrid 4D-Var/Ensemble Transform Kalman Filter (ETKF) algorithm, and c) Enhancing the initial condition perturbations used by the Met Office Global Regional Ensemble Prediction System (MOGREPS).
The use of ensemble information in data-assimilation has already brought improved forecasts for NWP. Next-generation ensemble-variational data-assimilation methods are being investigated within the group to further improve initial conditions for NWP through the use of ensemble information. The post-holder will be part of a team developing this capability so that it becomes suitable for operational implementation. This will involve conducting research to understand how the new system performs and developing new techniques to improve its performance. It will also involve working with others to further optimize the code for current and future HPC architectures. The post holder will be expected to perform new research and publish results in the peer-reviewed literature.
We welcome applications from people with different levels of experience. We will appoint at the level appropriate to the successful applicant, either at the scientist level or the senior scientist level. Once in post the independence and skill they are expected to deliver will reflect this level. We have distinguished the skills we expect to see at each level in the person specification below.
Specific job purpose
To deliver scientific and technical improvements to Met Office's ensemble-variational data assimilation capabilities; to enhance the Met Office's reputation; to improve the quality of its products through improvements to the analyses used as initial conditions for NWP.
Specific job responsibilities
· To carry out research to improve the quality of forecasts produced by Met Office systems, for the benefit of all customers of NWP.
· To understand the performance of the data assimilation system, using both standard and novel data assimilation diagnostics.
· To work with others on the development of ensemble-variational data-assimilation systems so that they run more efficiently and are able to be used operationally.
· To provide scientific/technical advice to other team members on some work aspects to improve the effectiveness of the team.
· To contribute significantly to the presentation, publication and documentation of work internally and externally in order to maintain our scientific capability and integrity in data-assimilation and thereby promoting our reputation.
Qualifications, skills and abilities required
· A degree (2:1 or above) in a physical science, mathematics or other related discipline or equivalent experience.
Scientist: Competence in postgraduate research and development in data assimilation, or a related field, as demonstrated by award of a PhD, or equivalent
· Good ability to write effective scientific software and to work with large/complex sections of computer code.
Scientist: Ability to clearly communicate the work of their team to non specialists.
Scientist: Ability to work effectively both as an independent scientist but also as part of a larger team involving colleagues at the Met Office and
international UM partners.
· Knowledge of ensemble forecasting and data-assimilation science.
· Knowledge of MPI and OpenMP.
Laura Giblin HR Associate
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