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CIRES/GSD Numerical Weather Prediction Scientist

Employer
Cooperative Institute for Research in Environmental Science
Location
Boulder, Colorado
Salary
We offer a competitive salary and an outstanding benefit package.
Closing date
Aug 28, 2019

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Discipline
Atmospheric Sciences
Career Level
Postdoctoral
Education Level
Masters
Job Type
Full-time
Relocation Cost
Negotiable
Sector Type
Government

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.

What your Key Responsibilities Will Be:

Participate in the activities of the Developmental Testbed Center (DTC), including its Global Model Test Bed (GMTB)

  • Contribute to model development for creation of new outputs and diagnostics aimed at facilitating development of physical parameterization.
  • Use forecast verification and diagnostic methods to identify and document strengths and weaknesses in UFS global and regional forecasts.
  • Develop meteorological case studies to exemplify and document model strengths and weaknesses.
  • Collaborate with model developers from NOAA and partnering organization to use case studies to investigate potential improvements to the model, particularly in the area of model physical parameterizations.
  • Conduct testing and evaluation of model innovations, particularly in the area of model physics.
  • Support collaborators in adding their innovations to the code using well-established protocols.
  • Contribute to preparation and delivery of educational materials such as documentation and tutorials.

Engage in additional activities in NWP related to ongoing projects in GSD, including both regional and global modeling

  • The applicant will be expected to work collaboratively with GSD and DTC partners, including the National Center for Atmospheric Research, the NOAA National Centers for Environmental Prediction (NCEP), and the research community.  She/he will also work with colleagues to document and present the results in the form of journal articles, seminars, and conference presentations.

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.

How to Apply and Special Instructions to Applicants:

If you are interested and meet the minimum requirements, please follow this link and submit your application online:

https://jobs.colorado.edu/jobs/JobDetail/CIRES-GSD-Numerical-Weather-Prediction-Scientist/19756?

To apply, please submit the following materials:

  1. Resume or CV.
  2. Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position.
  3. List of 3 references: the names, professional titles, and contact information of those who are familiar with your qualifications and work history.
    • If you are selected as the finalist, we will contact you through email and you will be asked to send a letter of recommendation. This information will be kept confidential and viewable only by the search committee.

This position will remain open until filled.

What we can Offer:

The University of Colorado offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment. Learn more about the University of Colorado Boulder.

What you should know:

 

This position will be rostered in CIRES at the University of Colorado Boulder, but will be physically situated in the David Skaggs Research Center, 325 Broadway, Boulder, CO 80305.  If you are the selected finalist you will be required to pass a federal laboratory background clearance for site access.

The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.

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