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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Tahoma",sans-serif;color:black">Dear Mailing list,<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<div>
<p class="Jobtitle">Scientist for Machine Learning <o:p></o:p></p>
<div style="mso-element:para-border-div;border:none;border-bottom:dotted #064E83 1.0pt;padding:0cm 0cm 9.0pt 0cm">
<p class="Heading1TOP" style="mso-list:l1 level1 lfo4"><![if !supportLists]><span style="mso-list:Ignore">1.<span style="font:7.0pt "Times New Roman"">
</span></span><![endif]>Position information<o:p></o:p></p>
</div>
<table class="MsoTableGrid" border="1" cellspacing="0" cellpadding="0" width="567" style="width:15.0cm;margin-left:5.65pt;border-collapse:collapse;border:none">
<tbody>
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<td width="266" valign="top" style="width:199.65pt;border:solid windowtext 1.0pt;padding:2.85pt 5.4pt 2.85pt 5.4pt">
<p class="MsoBodyText" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal">
<b><span style="mso-fareast-language:EN-US">Vacancy No.:</span></b><span style="font-family:"Times New Roman",serif;mso-fareast-language:EN-US"> </span><span style="mso-fareast-language:EN-US">VN20-15<o:p></o:p></span></p>
</td>
<td width="301" valign="top" style="width:225.6pt;border:solid windowtext 1.0pt;border-left:none;padding:2.85pt 5.4pt 2.85pt 5.4pt">
<p class="MsoBodyText" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal">
<b><span style="mso-fareast-language:EN-US">Department:</span></b><span style="mso-fareast-language:EN-US"> Research<b><o:p></o:p></b></span></p>
</td>
</tr>
<tr>
<td width="266" valign="top" style="width:199.65pt;border:solid windowtext 1.0pt;border-top:none;padding:2.85pt 5.4pt 2.85pt 5.4pt">
<p class="MsoBodyText" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal">
<b><span style="mso-fareast-language:EN-US">Grade:</span></b><span style="font-family:"Times New Roman",serif;mso-fareast-language:EN-US"> </span><span style="mso-fareast-language:EN-US">A2<o:p></o:p></span></p>
</td>
<td width="301" valign="top" style="width:225.6pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:2.85pt 5.4pt 2.85pt 5.4pt">
<p class="MsoBodyText" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal">
<b><span style="mso-fareast-language:EN-US">Section: </span></b><span style="mso-fareast-language:EN-US">Model Development</span><span style="mso-fareast-language:EN-US"><o:p></o:p></span></p>
</td>
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<tr>
<td width="266" valign="top" style="width:199.65pt;border:solid windowtext 1.0pt;border-top:none;padding:2.85pt 5.4pt 2.85pt 5.4pt">
<p class="MsoBodyText" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal">
<b><span style="mso-fareast-language:EN-US">Job Ref. No.:</span></b><span style="font-family:"Times New Roman",serif;mso-fareast-language:EN-US"> </span><span style="mso-fareast-language:EN-US">STF-PL/20-15<b><o:p></o:p></b></span></p>
</td>
<td width="301" valign="top" style="width:225.6pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:2.85pt 5.4pt 2.85pt 5.4pt">
<p class="BodyText-nospaceafter" style="text-align:justify"><b><span style="mso-fareast-language:EN-US">Reports to:
</span></b><span style="mso-fareast-language:EN-US">Physical Processes Team Leader</span><span style="mso-fareast-language:EN-US"><o:p></o:p></span></p>
</td>
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<tr>
<td width="266" valign="top" style="width:199.65pt;border:solid windowtext 1.0pt;border-top:none;padding:2.85pt 5.4pt 2.85pt 5.4pt">
<p class="BodyText-nospaceafter"><b><span style="mso-fareast-language:EN-US">Publication Date:</span></b><span style="font-family:"Times New Roman",serif;mso-fareast-language:EN-US">
</span><span style="mso-fareast-language:EN-US">25 September 2020<o:p></o:p></span></p>
</td>
<td width="301" valign="top" style="width:225.6pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:2.85pt 5.4pt 2.85pt 5.4pt">
<p class="BodyText-nospaceafter"><b><span style="mso-fareast-language:EN-US">Closing Date:</span></b><span style="mso-fareast-language:EN-US"> 22 October 2020<o:p></o:p></span></p>
</td>
</tr>
</tbody>
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<div style="mso-element:para-border-div;border:none;border-bottom:dotted #064E83 1.0pt;padding:0cm 0cm 9.0pt 0cm">
<h1 style="mso-margin-top-alt:24.0pt;margin-right:0cm;margin-bottom:3.0pt;margin-left:18.0pt;text-indent:-18.0pt;line-height:12.0pt;mso-line-height-rule:exactly;mso-list:l1 level1 lfo4;text-autospace:none;border:none;padding:0cm">
<![if !supportLists]><span style="font-size:12.0pt;font-family:"Arial",sans-serif;mso-fareast-language:EN-US"><span style="mso-list:Ignore">2.<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:12.0pt;color:black;mso-fareast-language:EN-US">About ECMWF
</span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;mso-fareast-language:EN-US"><o:p></o:p></span></h1>
</div>
<p class="BodyText-nospaceafter" style="line-height:normal">ECMWF is the leading centre for global, medium-range weather predictions and is the host of the largest archive of weather data in the world.
<span style="color:black">ECMWF is both a research institute and a 24/7 operational service, producing and disseminating numerical weather predictions to its Member States.</span>
<o:p></o:p></p>
<p class="BodyText-nospaceafter"><o:p> </o:p></p>
<p class="BodyText-nospaceafter" style="line-height:normal"><span style="color:black">ECMWF has been also entrusted to operate the Copernicus Atmosphere Monitoring Service (CAMS) and the Copernicus Climate Change Service (C3S) on behalf of the European Commission.</span>
Every day, hundreds of millions of satellite and in situ observations are processed at ECMWF to provide the basis for up-to-date global analyses and climate reanalyses of the atmosphere, ocean and land surface, and to generate global weather predictions from
hours up to a year ahead. To retain its world-leading position, ECMWF is performing cutting edge research in weather related sciences and high-performance computing. ECMWF’s weather forecasts are disseminated to the ECMWF Member States and thousands of users
around the world. <o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">For details visit <a href="http://www.ecmwf.int/">www.ecmwf.int/</a>.<span style="font-size:9.5pt">
</span><o:p></o:p></p>
<div style="mso-element:para-border-div;border:none;border-bottom:dotted #064E83 1.0pt;padding:0cm 0cm 9.0pt 0cm">
<h1 style="mso-margin-top-alt:24.0pt;margin-right:0cm;margin-bottom:3.0pt;margin-left:17.85pt;text-indent:-17.85pt;line-height:12.0pt;mso-line-height-rule:exactly;mso-list:l1 level1 lfo4;text-autospace:none;border:none;padding:0cm">
<a name="move10236841"></a><![if !supportLists]><span style="font-size:14.0pt;color:#2E75B6;mso-style-textfill-fill-color:#2E75B6;mso-style-textfill-fill-alpha:100.0%"><span style="mso-list:Ignore">3.<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:14.0pt;color:#2E75B6;mso-style-textfill-fill-color:#2E75B6;mso-style-textfill-fill-alpha:100.0%">Summary of the role<o:p></o:p></span></h1>
</div>
<p class="MsoNormal"><span style="font-size:9.5pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif"></span><span style="font-size:9.5pt;font-family:"Arial",sans-serif">ECMWF has embarked on an exciting new initiative to explore the use of artificial intelligence and machine
learning in applications of numerical weather predictions. To learn more about the application of machine learning in the weather and climate domain and at ECMWF, please have a look at the webpage of the Machine Learning Seminar Series at ECMWF (</span><span style="font-size:9.5pt;font-family:"Arial",sans-serif"><a href="https://www.ecmwf.int/en/learning/workshops/machine-learning-seminar-series">https://www.ecmwf.int/en/learning/workshops/machine-learning-seminar-series</a></span><span style="font-size:9.5pt;font-family:"Arial",sans-serif">)
or the ESA-ECMWF machine learning workshop which is planned for October <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.5pt">(</span><a href="https://www.ecmwf.int/en/learning/workshops/ecmwf-esa-workshop-machine-learning-earth-system-observation-and-prediction">https://www.ecmwf.int/en/learning/workshops/ecmwf-esa-workshop-machine-learning-earth-system-observation-and-prediction</a><span style="font-size:9.5pt">).<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.5pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif">As part of this effort, ECMWF is coordinating the MAchinE Learning for Scalable meTeoROlogy and climate (MAELSTROM) EuroHPC project to fund this position. This Scientist position
will be in the Physical Processes team in the Research department at ECMWF. The successful candidate will apply their skills, knowledge and expertise to help achieving the goals, and complete the deliverables, of the MAELSTROM project.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.5pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif">The main focus will be on the development of machine learning emulators for some of the parameterisation schemes of ECMWF’s Integrated Forecast System (IFS). The use of deep learning
to emulate some of the parametrizations used to represent subgrid atmospheric processes, such as radiation or clouds, promises a significant reduction of computing cost and improvements in portability of the models to heterogeneous hardware, and could potentially
lead to improvements in predictive skill if savings are reinvested into higher resolution or model complexity. This project builds on previous studies which have successfully used neural network emulators within weather and climate simulations. However, the
use in a forecasting system for operational weather predictions, such as the IFS, will require more complex machine learning solutions and training data of higher quality than what has been used so far. The successful candidate will also explore the use of
such emulators within the data assimilation framework. <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.5pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.5pt">The Scientist will work in close collaboration with other teams across the organisation and strong communication skills are essential.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<div style="mso-element:para-border-div;border:none;border-bottom:dotted #064E83 1.0pt;padding:0cm 0cm 9.0pt 0cm">
<p class="Heading1TOP" style="mso-list:l1 level1 lfo4"><![if !supportLists]><span style="font-size:12.0pt;color:#2E75B6;mso-style-textfill-fill-color:#2E75B6;mso-style-textfill-fill-alpha:100.0%"><span style="mso-list:Ignore">4.<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:12.0pt;color:#2E75B6;mso-style-textfill-fill-color:#2E75B6;mso-style-textfill-fill-alpha:100.0%"><span style="color:windowtext">Main duties and key responsibilities:<o:p></o:p></span></span></p>
</div>
<p class="BodytextBullet" style="mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:14.2pt;margin-bottom:.0001pt;text-indent:-14.2pt;mso-list:l0 level1 lfo2;background:white;vertical-align:baseline">
<![if !supportLists]><span style="font-family:Symbol;color:#064E83"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:black">Diagnosing training data in form of input/output pairs of physical parametrisation schemes from simulations with the IFS at high resolution</span><o:p></o:p></p>
<p class="BodytextBullet" style="mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:14.2pt;margin-bottom:.0001pt;text-indent:-14.2pt;mso-list:l0 level1 lfo2;background:white;vertical-align:baseline">
<![if !supportLists]><span style="font-family:Symbol;color:#064E83"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:black">Publishing the training data in a user-friendly form for use as benchmark dataset for MAELSTROM </span><o:p></o:p></p>
<p class="BodytextBullet" style="mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:14.2pt;margin-bottom:.0001pt;text-indent:-14.2pt;mso-list:l0 level1 lfo2;background:white;vertical-align:baseline">
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</span></span></span><![endif]><span style="color:black">Developing customised machine learning solutions for the emulation of parametrisation schemes </span><o:p></o:p></p>
<p class="BodytextBullet" style="mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:14.2pt;margin-bottom:.0001pt;text-indent:-14.2pt;mso-list:l0 level1 lfo2;background:white;vertical-align:baseline">
<![if !supportLists]><span style="font-family:Symbol;color:#064E83"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:black">Reintroducing machine learning solutions into the IFS source code and evaluate model fidelity in coupled forecast and data assimilation experiments</span><o:p></o:p></p>
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</span></span></span><![endif]><span style="color:black">Testing machine learning emulators for data assimilation applications </span><o:p></o:p></p>
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<![if !supportLists]><span style="font-family:Symbol;color:#064E83"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:black">Contributing to reports, and dissemination and training activities of the MAELSTROM project</span><o:p></o:p></p>
<p class="BodytextBullet" style="margin-left:0cm;text-indent:0cm;mso-list:none"><span style="color:#2E75B6;mso-style-textfill-fill-color:#2E75B6;mso-style-textfill-fill-alpha:100.0%"><o:p> </o:p></span></p>
<div style="mso-element:para-border-div;border:none;border-bottom:dotted #064E83 1.0pt;padding:0cm 0cm 9.0pt 0cm">
<p class="Heading1TOP" style="mso-list:l1 level1 lfo4"><![if !supportLists]><span style="color:#2E75B6;mso-style-textfill-fill-color:#2E75B6;mso-style-textfill-fill-alpha:100.0%"><span style="mso-list:Ignore">5.<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#2E75B6;mso-style-textfill-fill-color:#2E75B6;mso-style-textfill-fill-alpha:100.0%"><span style="color:windowtext"> Personal attributes<o:p></o:p></span></span></p>
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</span></span></span><![endif]>Strong interpersonal and communication skills, particularly listening to and respecting the views of others<o:p></o:p></p>
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</span></span></span><![endif]>Enthusiasm to tackle challenging research questions when working with a complex computer model and willingness to learn new algorithms and tools<o:p></o:p></p>
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<![if !supportLists]><span style="font-family:Symbol;color:#064E83"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Ability to work in a team at ECMWF and within MAELSTROM towards a common goal in an interdisciplinary research project<o:p></o:p></p>
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</span></span></span><![endif]>Excellent analytical and problem-solving skills with an independent and proactive approach, together with an interest in identifying, investigating and solving technical challenges<o:p></o:p></p>
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<h1 style="mso-margin-top-alt:24.0pt;margin-right:0cm;margin-bottom:3.0pt;margin-left:18.0pt;text-indent:-18.0pt;line-height:12.0pt;mso-line-height-rule:exactly;mso-list:l1 level1 lfo4;text-autospace:none;border:none;padding:0cm">
<![if !supportLists]><span style="font-size:13.0pt;color:#2E75B6;mso-style-textfill-fill-color:#2E75B6;mso-style-textfill-fill-alpha:100.0%"><span style="mso-list:Ignore">6.<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:13.0pt;color:#2E75B6;mso-style-textfill-fill-color:#2E75B6;mso-style-textfill-fill-alpha:100.0%">Qualifications and experience required<o:p></o:p></span></h1>
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<p class="BodyText-nospaceafter"><o:p> </o:p></p>
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<p class="BodyText-nospaceafter"><span style="mso-fareast-language:EN-US">Education<o:p></o:p></span></p>
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<p class="BodyText-nospaceafter"><span style="mso-fareast-language:EN-US">A university degree, or equivalent, in a discipline related to computer science,<o:p></o:p></span></p>
<p class="BodyText-nospaceafter"><span style="mso-fareast-language:EN-US">meteorology, physics, mathematics, machine learning or engineering is required.<o:p></o:p></span></p>
<p class="BodyText-nospaceafter"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="BodyText-nospaceafter"><span style="mso-fareast-language:EN-US">A PhD in a related subject is desirable but not essential.</span><span style="mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<p class="BodyText-nospaceafter"><span style="mso-fareast-language:EN-US">Experience<o:p></o:p></span></p>
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<td width="461" valign="top" style="width:345.85pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:2.85pt 5.4pt 2.85pt 5.4pt">
<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif;mso-fareast-language:EN-US">Experience in developing codes in parallel computing environments.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif;mso-fareast-language:EN-US">Experience working with numerical models in computational fluid dynamics.<o:p></o:p></span></p>
<p class="BodyText-nospaceafter" style="line-height:normal"><span style="mso-fareast-language:EN-US">Experience working with deep-learning and neural networks would be advantageous.
<o:p></o:p></span></p>
<p class="BodyText-nospaceafter" style="line-height:normal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif;mso-fareast-language:EN-US">Experience working with global weather or climate models would be advantageous.
<o:p></o:p></span></p>
<p class="BodyText-nospaceafter" style="line-height:normal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="BodyText-nospaceafter" style="line-height:normal"><span style="mso-fareast-language:EN-US">Experience with using Python for meteorological data, in particular machine libraries such as TensorFlow or Keras, would be advantageous.<o:p></o:p></span></p>
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<p class="BodyText-nospaceafter"><span style="mso-fareast-language:EN-US">Knowledge and skills (including language)</span><span style="mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<p class="BodyText-nospaceafter" style="line-height:normal"><span style="mso-fareast-language:EN-US">Good knowledge of at least one high-level programming language such as C++ or Fortran.<o:p></o:p></span></p>
<p class="BodyText-nospaceafter" style="line-height:normal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="BodyText-nospaceafter" style="line-height:normal"><span style="mso-fareast-language:EN-US">Ability to work in a Linux-based environment.<o:p></o:p></span></p>
<p class="BodyText-nospaceafter" style="line-height:normal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="BodyText-nospaceafter" style="line-height:normal"><span style="mso-fareast-language:EN-US">A good knowledge of Python and Jupiter notebooks would be useful.<o:p></o:p></span></p>
<p class="BodyText-nospaceafter" style="line-height:normal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="BodyText-nospaceafter" style="line-height:normal"><span style="mso-fareast-language:EN-US">Good understanding of parallel programming (e.g. MPI and OpenMP) would be useful.<o:p></o:p></span></p>
<p class="BodyText-nospaceafter" style="line-height:normal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="BodyText-nospaceafter" style="line-height:normal"><span style="mso-fareast-language:EN-US">Candidates must be able to work effectively in English and interviews will be conducted in English.<o:p></o:p></span></p>
<p class="BodyText-nospaceafter" style="line-height:normal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="BodyTextafterBulletlist" style="margin-top:0cm;line-height:normal"><span style="mso-fareast-language:EN-US">A good knowledge of one of the Centre’s other working languages (French or German) would be an advantage.<o:p></o:p></span></p>
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<![if !supportLists]><span style="font-size:12.0pt;font-family:"Arial",sans-serif"><span style="mso-list:Ignore">7.<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:12.0pt;color:black">Other information</span><span style="font-size:12.0pt;font-family:"Arial",sans-serif"><o:p></o:p></span></h1>
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<h2>Grade remuneration<o:p></o:p></h2>
<p class="BodyTextafterBulletlist">The successful candidate will be recruited at the
<b>A2</b> grade, according to the scales of the Co‑ordinated Organisations and the annual basic salary will be
<b>£60,590.64 </b>net of tax. This position is assigned to the employment category
<b>STF-PL</b> as defined in the Staff Regulations. <span style="color:red"><o:p></o:p></span></p>
<p class="MsoBodyText">Full details of salary scales and allowances are available on the ECMWF website at
<span class="MsoHyperlink">www.ecmwf.int/en/about/jobs</span>, including the Centre’s Staff Regulations regarding the terms and conditions of employment.<o:p></o:p></p>
<p class="BodyTextafterBulletlist"><b><span style="font-size:10.0pt;color:#064E83">Starting date:</span></b><b>
</b>1<sup>st</sup> January 2021, or as soon as possible thereafter.<o:p></o:p></p>
<p class="BodyTextafterBulletlist"><b><span style="font-size:10.0pt;color:#064E83">Length of contract:</span></b> 30 months, subject to available funding with possibility of extension.<o:p></o:p></p>
<p class="BodyTextafterBulletlist"><b><span style="font-size:10.0pt;color:#064E83">Location:</span></b> The position will be based in the Reading area, in Berkshire, United Kingdom.
<o:p></o:p></p>
<p class="BodyTextafterBulletlist">Successful applicants and members of their family forming part of their households will be exempt from immigration restrictions.<o:p></o:p></p>
<p class="BodyTextafterBulletlist"><b>Videoconference interviews (via Blue Jeans) for this position are expected to take place in mid-November.<span style="color:red"><o:p></o:p></span></b></p>
<p class="BodyTextafterBulletlist"><o:p> </o:p></p>
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</span></span><![endif]>How to apply<o:p></o:p></p>
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<p class="MsoBodyText"><a name="_Hlk4166798">Please complete the online application form available at:
</a><span style="mso-bookmark:_Hlk4166798"><span class="MsoHyperlink">www.ecmwf.int/en/about/jobs<b>.
</b></span><b><o:p></o:p></b></span></p>
<p class="BodyText-nospaceafter" style="line-height:115%"><span style="mso-bookmark:_Hlk4166798"><b>To contact the ECMWF Recruitment Team, please email jobs@ecmwf.int.<o:p></o:p></b></span></p>
<p class="BodyText-nospaceafter"><span style="mso-bookmark:_Hlk4166798">Please refer to the ECMWF Privacy Statement. For details of how we will handle your personal data for this purpose, see: https://www.ecmwf.int/en/privacy.<o:p></o:p></span></p>
<p class="BodyText-nospaceafter"><span style="mso-bookmark:_Hlk4166798"><o:p> </o:p></span></p>
<p class="BodyText-nospaceafter"><span style="mso-bookmark:_Hlk4166798"><em><span style="font-family:"Arial",sans-serif">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.</span></em><em><span style="font-family:"Arial",sans-serif;font-style:normal"><o:p></o:p></span></em></span></p>
<p class="BodyText-nospaceafter"><span style="mso-bookmark:_Hlk4166798"><o:p> </o:p></span></p>
<p class="BodyText-nospaceafter"><span style="mso-bookmark:_Hlk4166798">Staff are usually recruited from among nationals of the following Member States and Co‑operating States:<o:p></o:p></span></p>
<p class="BodyText-nospaceafter"><span style="mso-bookmark:_Hlk4166798"><o:p> </o:p></span></p>
<p class="BodyText-nospaceafter"><span style="mso-bookmark:_Hlk4166798">Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland France, Hungary, Germany, Greece, Iceland, Ireland, Israel, Italy, Latvia, Lithuania, Luxembourg, Montenegro,
Morocco, the Netherlands, North Macedonia, Norway, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom.
<o:p></o:p></span></p>
<p class="BodyText-nospaceafter"><span style="mso-bookmark:_Hlk4166798"><o:p> </o:p></span></p>
<p class="BodyText-nospaceafter"><span style="mso-bookmark:_Hlk4166798">Staff from non-ECMWF States may be considered in exceptional cases.</span><o:p></o:p></p>
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<span style="font-size:9.5pt;font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt"><b><span style="font-family:"Trebuchet MS",sans-serif;color:#4D4D4D">Julie Palmer
</span></b><b><span style="font-size:7.5pt;font-family:"Tahoma",sans-serif;color:#AAAAAA"><br>
</span></b><b><span style="font-family:"Trebuchet MS",sans-serif;color:gray">Recruitment Officer
</span></b><b><span style="font-size:7.5pt;font-family:"Tahoma",sans-serif;color:gray"><br>
</span></b><b><span style="font-family:"Trebuchet MS",sans-serif;color:gray">ECMWF | HR Section
</span></b><b><span style="font-size:7.5pt;font-family:"Tahoma",sans-serif;color:gray"><br>
</span></b><b><span style="font-family:"Trebuchet MS",sans-serif;color:gray">e: </span>
</b><a href="mailto:julie.palmer@ecmwf.int"><span style="font-family:"Trebuchet MS",sans-serif">julie.palmer@ecmwf.int</span></a><b><span style="font-family:"Trebuchet MS",sans-serif;color:gray"> t: +44 1189 49 9161
</span></b><span style="font-size:10.0pt;font-family:"Tahoma",sans-serif;color:black"><o:p></o:p></span></p>
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