|From||"Roger Brugge" <firstname.lastname@example.org>|
|Date||Thu, 17 Dec 2015 11:10:56 +0000|
________________________________________ Job Title: Scientific Software Engineer (Data Assimilation and Ensembles) Language: UK Company: Met Office Location: Exeter HQ Region: South West Country: United Kingdom Organisation: Science > Weather Science > ZZSDAE - Data Assimilation & Ensembles Job number: MO-CM00149 Professional Area (Candidate Search Option): Science Region (Candidate Search Option): South West Location (Candidate Search Option): Exeter HQ Working Pattern: DAY Salary: per Year Min 26010 Max 35040 In GBP Agreement Type: Permanent Work Hours: 37 Hours per Week Salary Information: Scientific Software Engineer: £26,010 - £29,100 Senior Scientific Software Engineer: £30,529 - £35,040 Plus competitive benefits: * Annual Leave starting at 27.5 days (+ Bank holidays) rising to 32.5 days * Flexible working hours available to promote work-life balance * A choice of pension schemes (including civil service pension) * Extensive career development/training opportunities * Cycle to Work scheme to enable affordable, healthy travel * Free car park for those living a bit further away * Onsite modern, fully functional gym + classes * Many more benefits including healthcare plans and childcare schemes Background: This is a great opportunity to join the Met Office team developing cutting-edge high-resolution numerical weather prediction (NWP) systems to produce high-quality, short-term, detailed weather forecasts for the UK. You will be working in the Data Assimilation and Ensembles (DAE) group (about 40 research scientists in 6 teams), who are carrying out research and development in data assimilation, ensemble forecasting and observation processing. The post is based in the Convective Scale Data Assimilation (CSDA) team. Their primary tool is the 1.5km UKV model, aiming to improve forecasts of key weather elements like rain, cloud, visibility, temperature and wind. A lower resolution (2.2km) version is used for the UK component of the Met Office Global and Regional Ensemble Prediction System (MOGREPS), in order to produce probabilistic forecasts - particularly important for forecasting high-impact weather in cases where local details cannot be predicted precisely. In this post you would act as co-ordinator for changes to the MOGREPS-UK ensemble forecast system and, later, also the UK convective-scale data assimilation system. You would liaise between staff in DAE and the Operational Suite team to facilitate the operational implementation of scientific and technical developments. You would also spend a portion of your time working with other members of the team on projects leading to further improvements to the convective-scale ensemble and /or deterministic prediction systems. To help with this, you would work with colleagues to develop and maintain a research suite for UK ensemble forecast experiments, and would help to train and support users of that suite. In the future, when ensemble data assimilation techniques are developed for operational application in the UK model, you would play a major role in developing an integrated ensemble data assimilation suite. Job Purpose: To develop and support software for running convective-scale ensembles and data assimilation systems. Job Responsibilities: * To co-ordinate preparation of ensemble forecast and convective-scale data assimilation changes for operational implementation. * To participate in the development and testing of scientific changes in the UK ensemble forecast and deterministic data assimilation systems. * To work with colleagues to develop and maintain a convective-scale ensemble forecast suite for research users. * To share development work in the deterministic convective-scale UK data assimilation suite, acting as deputy suite configuration owner. * To contribute to the presentation and publication/documentation of work internally and externally in order to communicate advice, maintain scientific/technical capability and promote Met Office reputation. Essential Qualifications, Skills & Abilities: 1. Good first degree (2:1 or above) in a physical, mathematical or computational science subject, plus relevant postgraduate experience (Senior Scientific Software Engineer: Good degree as above plus relevant postgraduate experience) 2. Strong IT skills, including: * Experience of development with limited supervision of one or more dynamic languages and/or shell script: Python, Perl, Bash etc. * Experience of using configuration management * Experience of running parallel applications on a Supercomputer (Senior Scientific Software Engineer: as above plus experience of system design, configuration management, implementation and code maintenance in large scientific software systems) 1. Ability to effectively document and communicate their work clearly, orally and in writing, to both specialists and non-specialists. 2. Evidence of an effective approach to problem solving; e.g. an ability to quickly diagnose and fix failures in software applications 3. Ability to work effectively both independently and as a team player, ability to liaise well with colleagues in other areas of the organisation. (Senior Scientific Software Engineer: as above plus evidence of ability to provide scientific/technical leadership and/or mentoring of junior staff). Desirable Qualifications, Skills & Abilities: 1. A keen interest in weather prediction, particularly the dynamics of mid-latitude cyclones and severe weather affecting the UK. 2. Experience of developing or maintaining software in a high-level language such as Fortran or C. 3. Experience in fcm and/or Subversion for managing and building source code. Additional Information: A recruit at Scientific Software Engineer level would have the opportunity to develop their skills to progress to Senior Scientific Software Engineer to fulfil the full potential of the post. This recruitment post is open to non-EU candidates and can provide sponsorship to the successful candidate should they not have eligibility to work and live within the UK without restriction. To apply: go to the careers website - http://careers.metoffice.gov.uk/current-vacancies
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