Associate Scientist - Numerical Weather Prediction Testing and Evaluation

This position will be responsible for advancing NOAA's goals in Earth system prediction, specifically on short- to medium-range time scales, particularly within the context of the Developmental Testbed Center (DTC).

 

Date posted

Feb. 21, 2024 10:15 am

Application deadline

Mar. 12, 2024 5:00 pm

Organization

CIRES/NOAA at the University of Colorado Boulder

Location

  • United States

Job description

The Cooperative Institute for Research in Environmental Sciences (CIRES) in Boulder, Colorado and the NOAA Global Systems Laboratory (GSL) have immediate openings for an Associate Scientist. This position will be responsible for advancing NOAA's goals in Earth system prediction, specifically on short- to medium-range time scales, particularly within the context of the Developmental Testbed Center (DTC). The successful hired individual will possess in-depth knowledge of Earth system modeling and associated computer-based technologies, be able to run and analyze NOAA's regional or global earth system models and contribute to the improvement of short- to medium-range numerical weather prediction. Experience with the Unified Forecast System (UFS) framework and associated applications, such as the Short-Range Weather (SRW) App and/or the Hurricane Analysis and Forecast System (HAFS), is preferable. As part of this team, the hire individual will have the opportunity to influence the science and advancement of future operational modeling systems developed in part at GSL.

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.
 

What Your Key Responsibilities Will Be

  • Improve and evaluate the performance of NOAA's Unified Forecast System (UFS) model on short- to medium-range time scales.
  • Collaborate with colleagues at CIRES, NOAA/GSL, and other institutions to conduct modeling experiments, contributing to team efforts to advance NOAA's short- to medium-range prediction capabilities.
  • Participate in or independently develop and submit proposals (for mid-career and senior scientists) for NOAA-funded projects; participate in the work associated with successful proposals.
  • Participate in and potentially lead DTC-based projects.
  • Communicate scientific findings through presentations at workshops and conferences.
  • Mid-career and senior career professionals may be asked to supervise other Associate Scientists.

What We Require

  • B.S. or M.S. (M.S. preferred) in atmospheric, oceanic, Earth science, or a related field.
  • Experience in Earth system modeling.

What You Will Need

  • Proficiency in at least one programming language used in Earth science for data analysis and plotting (e.g., Python, MATLAB)
  • Familiarity with shell scripting
  • Excellent oral and written communication skills
  • Ability to manage time and prioritize tasks in an environment that requires flexibility
  • Capability to work both collaboratively and individually in an inclusive professional environment
  • Ability to think critically and solve problems

What We Would Like You to Have

We invite applicants to apply even if they do not have the preferred skills and experience outlined in this section. If you meet the minimum qualifications and have passion for the work, you are encouraged to apply. We encourage on-the-job training for any additional skills or knowledge that become relevant to the position.

  • M.S. degree in atmospheric, oceanic, Earth science, or a related field
  • Experience with representation of physical processes in Earth system models
  • Experience with verification of Earth system models
  • Experience with the Unified Forecast System, particularly the SRW App or HAFS
  • Experience with real-time or operational models
  • Experience with high-performance computing

For more details

https://jobs.colorado.edu/jobs/JobDetail/CIRES-NOAA-Global-Systems-Laboratory-Numerical-Weather-Prediction-Testing-and-Evaluation-Associate-Scientist/54620