[ES_JOBS_NET] Job opportunities in the UAE

[Rajesh Kumar]

Hi there,

Four vacancies available for Research Scientists/Specialists at the National
Center of Meteorology (NCM) <https://www.linkedin.com/feed/>. Please review
carefully the following eligibility requirements listed per vacancy. If you
meet the requirements, please send a 2-page resume and cover letter to Dr.
Taha Al Hosari (TAlhosary at ncms.ae)



*1) NWP Research Scientist*

   - 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.
   - Experience in atmospheric science in different research areas including
    mesoscale convective systems and microscale meteorology over complex ter
   rain and land surfaces.
   - 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.
   - Experience in Scientific Optimization and Refinement of operational
   NWP models, by utilizing the model verification statistics and testing
   different physical parameterizations.
   - Experience in various data assimilation (DA) methods (RTFDDA, 3DVAR,
   4DVAR and hybrid EnVar ) includes mesoscale DA and source code tweaking
   to run hypothetical scenarios (e.g. land cover changes, artificial water
   bodies and surface heat sources, etc.).
   - 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.
   - 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.
   - Working knowledge of the "PlanetWRF" model (https://planetwrf.com/)
   and basic knowledge of space weather applications is a big plus to develop
   this role further.
   - Must have a publication record in Q1-ranked journals, led/participated
   in externally funded research projects, and experience/readiness to mentor
   early-career researchers.
   - Must have a PhD degree in Atmospheric Science, Environmental
   Engineering, or a closely related field.
   - Optimization of code compilation on High Performance Computer (HPC)
   for parallel processing.
   - Programming languages (Shell scripting, Python, Fortran,) and file
   format (NetCDF, GRIB2)

   *2) Machine Learning Scientist*


   - 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.
   - 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.).
   - Experience with Synthetic Aperture Radar (SAR), CubeSat and UAV senor
   data is also desirable.
   - Must have a publication record in Q1-ranked journals, led/participated
   in externally funded research projects, and experience/readiness to mentor
   early-career researchers.
   - Must have a PhD degree in Atmospheric Science, Computer/Data Science,
   Artificial Intelligence, or a closely related field.
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