Scientist - Earth System Diagnostics
1. Position information
Vacancy No.: VN19-50
2. About ECMWF
ECMWF is both a research institute and a 24/7 operational service, producing and disseminating numerical weather predictions to its Member States. ECMWF carries out scientific and technical research directed to the improvement of its forecasts, collects and processes large amounts of observations, and manages a long-term archive of meteorological data. Satellite and in situ observations provide the information for up-to-date global analyses and climate reanalyses of the atmosphere, ocean and land surface.
For details, see www.ecmwf.int/.
3. Summary of the role
This position is in the Diagnostics team, within the Evaluation Section of the Forecast Department. The Diagnostics team brings dynamical and physical insight to the understanding of forecast performance and model climate. It carries out a range of activities, including numerical experiments and case studies, to identify and investigate model performance issues. The successful candidate will contribute to the development and use of new diagnostic tools to address the increasing complexity of ECMWF’s state-of-the-art Earth system model.
As a core member of the Diagnostics team, the postholder will evaluate the systematic and flow-dependent behaviour of the model to identify key sources of model errors at all lead-times. Important topics for the team to address include the diagnosis of deficiencies in predictions of severe weather (Magnusson, 2019) and regime transitions (Ferranti et al, 2018), and in the representation of physical and observational uncertainties (Rodwell et al. 2018). Understanding the processes involved, including coupling between the different components of ECMWF’s operational forecasting system (atmosphere, ocean, land) is an important aspect of the work.
The successful candidate will contribute to relevant areas of this work depending on their own background experience and expertise. Their work will include in-depth analysis and interpretation of diagnostic results in collaboration with model developers, to aid the continual improvement of ECMWF’s forecasting system. There will also be the opportunity to develop collaborations with external experts in model diagnostics.
With the ability to cover both research and technical aspects of forecast evaluation, they will also provide appropriate diagnostic support for the evaluation of new IFS model cycles in the medium and extended ranges, and for the model climate.
4. Main duties and key responsibilities
5. Personal attributes
6. Qualifications and experience required
Knowledge and skills (including language)
7. Other information
The successful candidate will be recruited at the A2 grade, according to the scales of the Co-ordinated Organisations and the annual basic salary will be £59,228.40 as defined in the Staff Regulations.
Full details of salary scales and allowances are available on the ECMWF website at www.ecmwf.int/en/about/jobs, including the Centre’s Staff Regulations regarding the terms and conditions of employment.
Starting date: 1 April 2020, or as soon as possible thereafter.
Length of contract: Four years, with the possibility of a further contract.
Location: The position will be based in the Reading area, in Berkshire, United Kingdom.
8. How to apply
Please apply by completing the online application form available at www.ecmwf.int/en/about/jobs/.
To contact the ECMWF Recruitment Team, please email firstname.lastname@example.org.
At ECMWF, we consider an inclusive environment as key for our success. We are dedicated to ensuring a workplace that embraces diversity and provides equal opportunities for all, without distinction as to race, gender, age, marital status, social status, disability, sexual orientation, religion, personality, ethnicity and culture. We value the benefits derived from a diverse workforce and are committed to having staff that reflect the diversity of the countries that are part of our community, in an environment that nurtures equality and inclusion.
Staff are usually recruited from among nationals of the following Member States and Co-operating States:
Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, former Yugoslav Republic of Macedonia, France, Hungary, Germany, Greece, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Montenegro, the Netherlands, Norway, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom.
Staff from other countries may be considered in exceptional cases