<div dir="ltr"><div class="gmail_default" style="font-size:small">Hi there, </div><div><br></div><div><div style="color:rgb(0,0,0);font-family:Calibri,Helvetica,sans-serif;font-size:16px"><p style="margin:0cm 0cm 0.0001pt;text-align:justify;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Four vacancies available for Research Scientists/Specialists at the </span><span lang="EN-US"><a href="https://www.linkedin.com/feed/" target="_blank"><span style="font-size:11pt;font-family:"Segoe UI",sans-serif">National Center of Meteorology (NCM)</span></a></span><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">. Please review carefully the following eligibility requirements listed per vacancy. If you meet the requirements, please send a 2-page resume and cover letter<span class="gmail_default" style="font-size:small"> to Dr. Taha Al Hosari (</span><u></u></span><span style="color:rgb(94,94,94);font-family:"Google Sans",Roboto,RobotoDraft,Helvetica,Arial,sans-serif;font-size:14px"><a href="mailto:TAlhosary@ncms.ae">TAlhosary@ncms.ae</a><span class="gmail_default" style="font-size:small">)</span></span></p><p style="margin:0cm 0cm 0.0001pt;text-align:justify;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif"><u></u> <u></u></span></p><p style="margin:0cm 0cm 6pt;text-align:justify;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">1) NWP Research Scientist<u></u><u></u></span></b></p><ul><li style="margin-left:15px"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Expertise in compiling, running and post-processing with the Weather Research and Forecast (WRF) model and its extension packages, specifically, WRF-CHEM and WRF-HYDRO.<u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US">Exp<span style="letter-spacing:-0.05pt">e</span>rien<span style="letter-spacing:-0.05pt">c</span>e in <span style="letter-spacing:-0.05pt">atm</span>ospheric <span style="letter-spacing:-0.05pt">s</span>cience <span style="letter-spacing:-0.05pt">i</span>n<span style="letter-spacing:0.05pt"> </span>di<span style="letter-spacing:-0.05pt">ff</span><span style="letter-spacing:0.05pt">e</span>rent rese<span style="letter-spacing:-0.05pt">a</span>rch <span style="letter-spacing:-0.05pt">a</span>r<span style="letter-spacing:-0.05pt">e</span>as in<span style="letter-spacing:-0.05pt">c</span>luding<span style="letter-spacing:-0.05pt"> </span><span style="letter-spacing:-0.1pt">m</span>eso<span style="letter-spacing:0.05pt">s</span>cale con<span style="letter-spacing:-0.05pt">v</span>ec<span style="letter-spacing:-0.05pt">t</span>ive sys<span style="letter-spacing:-0.05pt">t</span>e<span style="letter-spacing:-0.1pt">m</span>s and<span style="letter-spacing:-0.1pt"> m</span>icroscale<span style="letter-spacing:1.15pt"> </span><span style="letter-spacing:-0.1pt">m</span>eteoro<span style="letter-spacing:-0.05pt">l</span>ogy<span style="letter-spacing:1.15pt"> </span>over<span style="letter-spacing:1.15pt"> </span>c<span style="letter-spacing:-0.05pt">om</span>plex<span style="letter-spacing:1.15pt"> </span>te<span style="letter-spacing:-0.05pt">r</span>ra<span style="letter-spacing:-0.05pt">i</span>n<span style="letter-spacing:1.15pt"> </span>and<span style="letter-spacing:1.15pt"> </span>land<span style="letter-spacing:1.15pt"> </span><span style="letter-spacing:-0.05pt">s</span>ur<span style="letter-spacing:-0.05pt">f</span>aces.</span><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif"><u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Competent in cross-scale model setups and verification (microscale, mesoscale, synoptic, macroscale and regional scale) in uncoupled and coupled modes (e.g. ocean, land, and chemistry) using a variety of physics options and parametrizations.<u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Experience in Scientific Optimization and Refinement of operational NWP models, by utilizing the model verification statistics and testing different physical parameterizations.<u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Experience in </span><span lang="EN-US">v<span style="letter-spacing:-0.05pt">a</span>r<span style="letter-spacing:-0.05pt">i</span>ous data a<span style="letter-spacing:-0.05pt">s</span>s<span style="letter-spacing:-0.05pt">i</span><span style="letter-spacing:-0.1pt">m</span>ilation (DA) <span style="letter-spacing:-0.1pt">m</span>ethods (RTFDDA, 3DVAR, 4DVAR and <span style="letter-spacing:-0.05pt">h</span>ybrid EnVa<span style="letter-spacing:-0.05pt">r</span> )</span><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif"> </span><span lang="EN-US">in<span style="letter-spacing:-0.05pt">c</span>l<span style="letter-spacing:-0.05pt">u</span>des <span style="letter-spacing:-0.1pt">m</span>esosca<span style="letter-spacing:0.05pt">l</span>e DA</span><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif"> and source code tweaking to run hypothetical scenarios (e.g. land cover changes, artificial water bodies and surface heat sources, etc.).<u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Must have experience in processing a wide range of satellite/radar remote sensing products for earth and hydro-meteorological applications – knowledge of relevant AI/machine learning applications is desirable.<u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Knowledge on direct numerical simulations (DNS) to model cloud microphysical processes and the analyses of measurements from in-situ aircraft observations and/or cloud chamber experiments is desirable.<u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Working knowledge of the "PlanetWRF" model (</span><span lang="EN-US"><a href="https://planetwrf.com/" target="_blank"><span style="font-size:11pt;font-family:"Segoe UI",sans-serif;color:windowtext">https://planetwrf.com/</span></a></span><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">) and basic knowledge of space weather applications is a big plus to develop this role further.<u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Must have a publication record in Q1-ranked journals, led/participated in externally funded research projects, and experience/readiness to mentor early-career researchers.<u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Must have a PhD degree in Atmospheric Science, Environmental Engineering, or a closely related field.<u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US">Optimization of code compilation on High Performance Computer (HPC) for parallel processing.</span><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif"><u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US">Programming languages (Shell scripting, Python, Fortran,) and file format (NetCDF, GRIB2)</span><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif"><u></u><u></u></span><br><br><b><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">2) Machine Learning Scientist<u></u><u></u></span></b></li></ul><ul><li style="margin-left:15px"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Expertise in AI model frameworks, specifically in machine learning and deep learning applications – e.g. TensorFlow, PyTorch, Recurrent/Convolutional Neural Networks, Long Short-Term Memory algorithms, etc. – GIS and mapping, advanced 3D visualization, inverse modeling, and optimization.<u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Must have experience in big data processing and visualization, specifically for satellite/radar remote sensing and model reanalysis output for earth and hydro-meteorological observation (e.g. GPM, MODIS, SMAP, GFS, ECMWF, HYSPLIT etc.).<u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Experience with Synthetic Aperture Radar (SAR), CubeSat and UAV senor data is also desirable.<u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Must have a publication record in Q1-ranked journals, led/participated in externally funded research projects, and experience/readiness to mentor early-career researchers.<u></u><u></u></span></li><li style="margin-left:15px"><span lang="EN-US" style="font-size:11pt;font-family:"Segoe UI",sans-serif">Must have a PhD degree in Atmospheric Science, Computer/Data Science, Artificial Intelligence, or a closely related field.<u></u><u></u></span></li></ul></div><br class="gmail-Apple-interchange-newline"></div><div><br></div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><di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