CIRES/GSD Numerical Weather Prediction Scientist

The Cooperative Institute for Research in Environmental Sciences (CIRES) has an immediate opening for a junior research scientist.

 

Date posted

Aug. 26, 2019 12:00 am

Application deadline

Oct. 26, 2019 12:00 am

Organization

The Cooperative Institute for Research in Environmental Sciences (CIRES)

Location

  • United States

Job description

The Cooperative Institute for Research in Environmental Sciences (CIRES) has an immediate opening for a junior research scientist with background in Numerical Weather Prediction (NWP) and meteorological analysis to work in the NOAA Earth System Research Laboratory (ESRL)/Global Systems Division (GSD).  The scientist will help enhance transition of innovations in NWP to NOAA’s operational production suite by supporting community scientists in using and developing global and regional configurations of NOAA’s Unified Forecast System, which uses the Finite Volume Cubed Sphere (FV3) dynamical core. The scientist will also work on NWP development projects of ESRL/GSD. The work will be conducted in collaboration with other scientists in ESRL/GSD, and involve collaborations with the Developmental Testbed Center, Global Model Test Bed and other groups at NOAA Laboratories, NCAR, NCEP and the scientific community. The position is located in Boulder, Colorado.  Salary will be commensurate with experience.
Requirements
  • M.S. or Ph.D. degree in atmospheric or related science.
  • Experience with NWP.
  • Experience with meteorological analysis.
  • Robust computational skills and experience in one or more programming languages.
  • Excellent oral and written communication skills in English.
  • Ability to work both independently and in a team environment.
  • Availability to travel at the level of 2-3 trips/year.

What We Would Like You To Have

  • Forecasting experience.
  • Experience in development, testing, and evaluation of physical parameterizations.
  • Experience with end-to-end NWP systems (from data assimilation to postprocessing).
  • Experience with NWP verification and assessment, preferably with the community Model Evaluation Tools (MET) software.
  • Experience with community code development.
  • Experience with Fortran90, Python, and Unix shell scripting.
  • Experience with software for revision control management, such as Git.
  • Experience in using with High-Performance Computing Systems.

For more details

https://cires.colorado.edu/jobs/ciresgsd-numerical-weather-prediction-scientist