[ES_JOBS_NET] Scientist - Arctic Prediction and Diagnostics, ECMWF
christin at ucar.edu
Mon Jan 23 11:06:02 MST 2017
Scientist - Arctic Prediction and Diagnostics
1. Position information
*Job Ref. No.:*STF-PL/17-01
*Reports to:*Head of Section
*Closing Date:*27 February 2017
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, seewww.ecmwf.int <http://www.ecmwf.int/>.
3. Summary of the role
The position is in the Evaluation Section of the Forecast Department.
The Scientist will work in the diagnostic team to develop tools for the
evaluation of surface-atmosphere interactions in the Earth system.
The successful candidate will perform research on the sensitivity of
global model performance to surface-atmosphere process coupling, and on
identifying key sources of model errors in the Arctic. He or she will
also assess the predictability of extreme weather events in the Arctic.
The outcome of these studies will contribute to the Horizon 2020 project
APPLICATE (Advanced Prediction in Polar Regions and beyond: modelling,
observing system design and Linkages associated with a Changing Arctic
APPLICATE supports research and development for the activities of the
YOPP (Year of Polar Prediction, one of the flagship activities of the
WMO World Weather Research Program’s Polar Prediction Project (PPP) and
the diagnostic tools will also be used to characterize errors in snow
depth forecasts related to the Horizon 2020 project IMPREX (Improving
predications and management of hydrological extremes).
4. Main duties and key responsibilities
* Developing the diagnostics and tools to monitor the Earth system
with particular focus on coupling (atmosphere, ocean, sea-ice, snow,
land) in the Arctic
* Evaluating polar specific model developments
* Diagnosing the predictability of severe weather events in the Arctic
and investigating connections between the Arctic and mid latitudes
* Using independent data sets and observations, together with
statistics from data assimilation and ensemble prediction, to
evaluate the quality of initial conditions and forecasts
5. Personal attributes
* Excellent communication and interpersonal skills
* Excellent analytical and problem-solving skills with a proactive
* Dedication and enthusiasm to work in a team
* Ability to work efficiently and complete diverse tasks in a timely
6. Qualifications and experience required
* A university degree or equivalent is required.
* A PhD is desirable but not essential.
* Experience in evaluating interactions between atmosphere and
* Experience with ocean and/or atmospheric modelling.
* Experience with analysing large data sets.
*Knowledge and skills*
* Knowledge of probabilistic Earth system forecasting and
* Very good programming and scripting skills.
* Candidates must be able to work effectively in English and
interviews will be conducted in English.
* A good knowledge of one of the Centre’s other working languages
(French or German) would be an advantage.
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*£56,487*net of tax. This position is assigned to the employment
category STF-PL as defined in the Staff Regulations.
Full details of salary scales and allowances are available on the ECMWF
<http://www.ecmwf.int/en/about/jobs>, including the Centre’s Staff
Regulations regarding the terms and conditions of employment.
*Starting date:*As soon as possible.
*Length of contract:*30 months, or longer if funding is available, but
not beyond 31 October 2020.
*Location:*The position will be based in the Reading area, in Berkshire,
8. How to apply
Please apply by completing the online application form available
ECMWF has an Equal Opportunities Policy and applications from all
suitably qualified candidates are welcome.
Staff are usually recruited from among nationals of the Member States
and Co-operating States.
Staff from non-ECMWF States may be considered in exceptional cases where
there is a strong need for a particular competency.
/** The ECMWF Member States are:*Austria, Belgium, Denmark, Finland,
France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, the
Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, Turkey and
the United Kingdom.
*The ECMWF Co-operating States are:*Bulgaria, Croatia, Czech Republic,
Estonia, former Yugoslav Republic of Macedonia, Hungary, Israel, Latvia,
Lithuania, Montenegro, Morocco, Romania, Serbia, Slovakia and Slovenia./
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