[ES_JOBS_NET] Scientist - Arctic Prediction and Diagnostics, ECMWF

Christine Wiedinmyer christin at ucar.edu
Mon Jan 23 11:06:02 MST 2017


    Scientist - Arctic Prediction and Diagnostics


        1. Position information

*Vacancy No.:*VN17-01
*Grade:*A2
*Job Ref. No.:*STF-PL/17-01
*Department:*Forecast
*Section:*Evaluation
*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 
climaTE).

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
    approach
  * Dedication and enthusiasm to work in a team
  * Ability to work efficiently and complete diverse tasks in a timely
    manner


        6. Qualifications and experience required

*Education*

  * A university degree or equivalent is required.
  * A PhD is desirable but not essential.

*Experience*

  * Experience in evaluating interactions between atmosphere and
    ocean/snow/sea-ice/land.
  * Experience with ocean and/or atmospheric modelling.
  * Experience with analysing large data sets.

*Knowledge and skills*

  * Knowledge of probabilistic Earth system forecasting and
    predictability concepts.
  * 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

*Grade remuneration*

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 
website atwww.ecmwf.int/en/about/jobs 
<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, 
United Kingdom.


        8. How to apply

Please apply by completing the online application form available 
atwww.ecmwf.int/en/about/jobs <http://www.ecmwf.int/en/about/jobs>.

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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