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<h2>Scientist - Arctic Prediction and Diagnostics</h2>
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<h4>1. Position information</h4>
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<p><b>Vacancy No.:</b><span class="Apple-converted-space"> </span>VN17-01<br>
<b>Grade:<span class="Apple-converted-space"> </span></b>A2<br>
<b>Job Ref. No.:</b>STF-PL/17-01<span
class="Apple-converted-space"> </span><br>
<b>Department:</b><span class="Apple-converted-space"> </span>Forecast<br>
<b>Section:</b>Evaluation<br>
<b>Reports to:</b><span class="Apple-converted-space"> </span>Head
of Section<br>
<b>Closing Date:</b><span class="Apple-converted-space"> </span>27
February 2017</p>
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<h4>2. About ECMWF *</h4>
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<p>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.</p>
<p>For details, see<span class="Apple-converted-space"> </span><a
href="http://www.ecmwf.int/" target="_blank">www.ecmwf.int</a>.</p>
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<h4>3. Summary of the role</h4>
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<p>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.</p>
<p>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).</p>
<p>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).</p>
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<h4>4. Main duties and key responsibilities</h4>
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<ul>
<li>Developing the diagnostics and tools to monitor the Earth
system with particular focus on coupling (atmosphere, ocean,
sea-ice, snow, land) in the Arctic</li>
<li>Evaluating polar specific model developments</li>
<li>Diagnosing the predictability of severe weather events in
the Arctic and investigating connections between the Arctic
and mid latitudes</li>
<li>Using independent data sets and observations, together with
statistics from data assimilation and ensemble prediction, to
evaluate the quality of initial conditions and forecasts</li>
</ul>
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<h4>5. Personal attributes</h4>
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<ul>
<li>Excellent communication and interpersonal skills</li>
<li>Excellent analytical and problem-solving skills with a
proactive approach</li>
<li>Dedication and enthusiasm to work in a team</li>
<li>Ability to work efficiently and complete diverse tasks in a
timely manner</li>
</ul>
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<h4>6. Qualifications and experience required</h4>
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<p><b>Education</b></p>
<ul>
<li>A university degree or equivalent is required.</li>
<li>A PhD is desirable but not essential.</li>
</ul>
<p><b>Experience</b></p>
<ul>
<li>Experience in evaluating interactions between atmosphere and
ocean/snow/sea-ice/land.</li>
<li>Experience with ocean and/or atmospheric modelling.</li>
<li>Experience with analysing large data sets.</li>
</ul>
<p><b>Knowledge and skills</b></p>
<ul>
<li>Knowledge of probabilistic Earth system forecasting and
predictability concepts.</li>
<li>Very good programming and scripting skills.</li>
<li>Candidates must be able to work effectively in English and
interviews will be conducted in English.</li>
<li>A good knowledge of one of the Centre’s other working
languages (French or German) would be an advantage.</li>
</ul>
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<h4>7. Other information</h4>
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<p><b>Grade remuneration</b></p>
<p>The successful candidate will be recruited at the<span
class="Apple-converted-space"> </span><b>A2</b><span
class="Apple-converted-space"> </span>grade, according to the
scales of the Co ordinated Organisations and the annual basic
salary will be<span class="Apple-converted-space"> </span><b>£56,487</b><span
class="Apple-converted-space"> </span>net of tax. This
position is assigned to the employment category STF-PL as
defined in the Staff Regulations.</p>
<p>Full details of salary scales and allowances are available on
the ECMWF website at<span class="Apple-converted-space"> </span><a
href="http://www.ecmwf.int/en/about/jobs" target="_blank">www.ecmwf.int/en/about/jobs</a>,
including the Centre’s Staff Regulations regarding the terms and
conditions of employment.</p>
<p><b>Starting date:</b><span class="Apple-converted-space"> </span>As
soon as possible.<br>
<b>Length of contract:</b>30 months, or longer if funding is
available, but not beyond 31 October 2020.<br>
<b>Location:</b><span class="Apple-converted-space"> </span>The
position will be based in the Reading area, in Berkshire, United
Kingdom.</p>
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<h4>8. How to apply</h4>
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<p>Please apply by completing the online application form
available at<span class="Apple-converted-space"> </span><a
href="http://www.ecmwf.int/en/about/jobs" target="_blank">www.ecmwf.int/en/about/jobs</a>.</p>
<p>ECMWF has an Equal Opportunities Policy and applications from
all suitably qualified candidates are welcome.</p>
<p>Staff are usually recruited from among nationals of the Member
States and Co-operating States.</p>
<p>Staff from non-ECMWF States may be considered in exceptional
cases where there is a strong need for a particular competency.</p>
<br>
<p><i><b>* The ECMWF Member States are:</b><span
class="Apple-converted-space"> </span>Austria, Belgium,
Denmark, Finland, France, Germany, Greece, Iceland, Ireland,
Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain,
Sweden, Switzerland, Turkey and the United Kingdom.<br>
<b>The ECMWF Co-operating States are:</b><span
class="Apple-converted-space"> </span>Bulgaria, Croatia,
Czech Republic, Estonia, former Yugoslav Republic of
Macedonia, Hungary, Israel, Latvia, Lithuania, Montenegro,
Morocco, Romania, Serbia, Slovakia and Slovenia.</i></p>
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