Research Scientist: Developing Statistical Methods to Improve Weather and Hydrologic Predictions

The Cooperative Institute for Research in Environmental Sciences (CIRES), a collaboration between the University of Colorado Boulder and the National Oceanic and Atmospheric Administration, is seeking applications for a Research Scientist with programming experience to work in the Physical Sciences Laboratory (PSL).

 

Date posted

Sep. 22, 2021 9:00 am

Application deadline

Oct. 31, 2021 5:00 pm

Organization

CIRES/NOAA Physical Sciences Laboratory (PSL)

Location

  • United States

Job description

The Cooperative Institute for Research in Environmental Sciences (CIRES), a collaboration between the University of Colorado Boulder and the National Oceanic and Atmospheric Administration, is seeking applications for a Research Scientist with programming experience to work in the Physical Sciences Laboratory (PSL). Initially, the candidate will develop, test, and apply advanced statistical and machine learning methods to improve weather forecast guidance from global ensemble prediction systems. Over time, the chosen candidate may expand their research portfolio and may act as a mentor and leader in the application of statistics and machine learning to a variety of prediction and predictability challenges. This is a 2-year term position with the possibility of extension based on performance, initiative, and the availability of funds.

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.

 Please use this link to apply:

https://jobs.colorado.edu/jobs/JobDetail/CIRES-NOAA-PSL-Research-Scientist-Developing-Statistical-Methods-to-Improve-Weather-and-Hydrologic-Predictions/33235