|From||"Mittermaier, Marion" <firstname.lastname@example.org>|
|Date||Fri, 26 Jun 2015 09:50:48 +0000|
I would like to advertise the following exciting opportunity that has arisen in my team.
Some key points to note are:
· the vacancy is open to EU and non-EU applicants with a closing date of 23 July 2015.
· The Met Office uses an application form for recruitment and the process is based on evidence provided for the specific criteria that are listed (see below). CVs are not considered as evidence during the application process. If it’s not on the form and relevant to the criteria, it can’t be considered.
· The vacancy is aimed at the Scientist/Senior Scientist level and is fixed term for 3 years. Your evidence for the essential/desirable criteria will determine at which level your application is assessed.
The team in which this post sits has a varied portfolio and changes year-on-year, and sometimes within-year. It is certainly never dull! One example of a new project which is just kicking off is the development of a hydro-meteorological capability to assess ensemble-based catchment-based precipitation at the km-scale, as well as ensemble forecasts of stream flow, both of which are of interest in the context of Environmental Prediction, where we couple atmospheric, ocean and land surface processes, to name but some of the components. Other notable current activities include collaborating with other Met Services in considering tropical performance, global surface weather and how to assess the impact of observation uncertainty on the typical metrics we use. You need to have the skills and be able to be flexible. If you enjoy understanding what the statistics mean (or developing new metrics to help us understand) and are excited by the prospect of identifying potential issues which will ultimately help to make our models and forecasts better, then this is an ideal opportunity for you.
For the full advert follow the link from here:
A shortened synopsis follows.
To apply scientific and technical knowledge to contribute to monitoring, detecting and diagnosing the origins of model systematic behaviour through the use of existing, and development of new methods for the improvement of the modelling system.
Essential Qualifications, Skills & Abilities
1. Good honours degree in a physical-/mathematics-based science (2:1 or better) with post-degree experience or qualification.
Scientist level: a PhD or equivalent research experience.
Senior level: Extensive relevant experience with a proven scientific track record including evidence of ability in planning and delivery of large scientific research projects.
2. Demonstrated analytical ability in the use of appropriate data sets and data analysis techniques.
Scientist level: Demonstrate good scientific knowledge of own subject area and ability to recognise potential for scientific investigations and learn new techniques/knowledge and apply them to one area of research.
Senior level: Demonstrate an advanced understanding of broad subject area and ability to assist others with related knowledge and techniques.
3. Scientist level: Demonstrated ability to write effective scientific software (e.g. Fortran, Shell scripting, Python) and coping with large data sets.
Senior level: In addition to scientist level, demonstrated ability in designing and developing large complex codes.
4. An ability to work flexibly on a number of different projects at any given time, whilst working to strict deadlines (often at short notice).
Scientist level: Evidence of time management skills and learning new skills quickly if necessary.
Senior level: In addition to scientist level, demonstrated ability to deliver high-quality output on short time scales.
5. Evidence of the ability to effectively communicate their work both orally and in writing.
Scientist level: Ability to clearly communicate the work of their team to non specialists.
Senior level: Demonstrated ability to communicate their work to specialists and non specialists and to be able to interact with them in a clear and concise manner with influence and authority.
6. Evidence of the ability to work and collaborate as an active and productive member of a team.
Senior level: Evidence of ability to provide scientific/technical leadership or mentoring to junior staff.
Desirable Qualifications, Skills & Abilities
1. Experience of using High Performance Computing (HPC).
2. Experience of other software programming languages: R, idl and sql.
3. Working knowledge of one or more of the following scientific gridded data formats: netCDF, GRIB, HDF.
4. Background in statistics/statistical methods.
5. Knowledge of internal Met Office IT systems.
Dr Marion Mittermaier Manager: Model diagnostics and novel verification
Met Office FitzRoy Road Exeter EX1 3PB United Kingdom
Tel: +44 (0)1392 884830 Fax: +44 (0)1392 885681
E-mail: email@example.com http://www.metoffice.gov.uk
I am co-chair of the WMO WWRP Joint Working Group on Forecast Verification Research (JWGFVR) http://www.wmo.int/pages/prog/arep/wwrp/new/Forecast_Verification.html
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