CIRES/NWS Statistical Meteorologist

The Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado Boulder is seeking a Professional Research Assistant to provide scientific and meteorological expertise for the NOAA NWS/Weather Prediction Center (WPC) on the topic of statistical methods in atmospheric science. The position will be based at the WPC in College Park, MD, within the NOAA Center for Weather and Climate Prediction (NCWCP). The NCWCP is a highly collaborative environment containing several NOAA organizations, including the Environmental Modeling Center (EMC), Ocean Prediction Center (OPC), and Climate Prediction Center (CPC). The incumbent will interact with WPC staff, NOAA scientists and forecasters, and externally funded researchers to develop and test new statistical methods for probabilistic forecast information among the tropics.


Who We Are

At CIRES, the Cooperative Institute for Research in Environmental Sciences, more than 800 environmental scientists work to understand the dynamic Earth system, including people’s relationship with the planet. CIRES is a partnership of NOAA and the University of Colorado Boulder, and our areas of expertise include weather and climate, changes at the Earth’s poles, air quality and atmospheric chemistry, water resources, and solid Earth sciences. Our vision is to be instrumental in ensuring a sustainable future environment by advancing scientific and societal understanding of the Earth system.


  1. Serve as a meteorologist with an emphasis in statistical methods. This position would focus on the following activities:
    • Establish probabilistic density function (PDF) methods with the idea of providing enhanced probabilistic hazard information
    • Test and Evaluate PDF methods
    • Perform Model Validation
    • Develop Statistical Downscaling
    • Perform Statistical Post Processing of NWP Output
  2. As needed, contribute to formal scientific publications, and/or attending off-site conferences, symposia and workshops.
  3. As appropriate, develop synergy and shared accomplishments with the Weather Enterprise.
  4. Perform related duties as assigned.

What You Should Know

CIRES commits to inclusive excellence by advancing equity and diversity in all that we do. We are an Affirmative Action/Equal Opportunity employer, and particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community.


This position will be based in College Park, Maryland.


This is a three year position, with the possibility of extension based on performance and funding availability.


Normal working hours will be observed except for occasional irregular hours during data collection, warning/forecast experiments or workshops conducted at remote sites. Incumbent will receive training and gain expertise in warning and forecasting decision-making.


The new hire will be employed by CIRES with technical oversight provided by WPC management. The incumbent works under general supervision but is expected to work independently and determine action to be taken in handling all but unusual situations.  This is a non-supervisory position, although the incumbent is expected to serve as a leader of scientific or technical experiments, groups, or teams; therefore strong teamwork and leadership skills are necessary. 

Please contact Dr. Michael Erickson ( for further information.

What We Can Offer

We can offer a competitive salary, commensurate with experience, along with a generous benefits package.


Master’s or PhD Degree in Meteorology, Atmospheric Science or related area and at least one year experience in applied research; additional post-graduate education may be substituted for experience.

What You Will Need

  • Emphasis will be placed on applicants with experience with statistical application to NWP, such as multiple linear regression, maximum likelihood estimation, quantile mapping, and Bayesian model averaging.
  • Experience with NCAR DTC MET.

What We Would Like You To Have

  • Strong analytical skills are highly desired along with excellent programing skills with large data sets in a Linux/Unix environment. Programming skills should include Python, FORTRAN, and R. Please describe your experience with plotting within R and Python.
  • Strong oral and written communication skills are desired as well as an ability to work in a collaborative team environment is needed for the position.
  • Attention to detail.
  • Ability to work independently and as part of a team.

Be Statements

Be Driven. Be Pioneering. Be Boulder.


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.

Application Materials

To apply, please submit the following materials:

Resume or CV.

Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position. In your cover letter, please describe your experience with NCAR DTC MET. 

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 request that you submit 1 name and email of a reference who will be asked to submit a letter of recommendation. This information will be kept confidential and viewable only by the search committee.

This position will remain open until filled. 


Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.

Job Number


Date Posted

Wednesday, June 26, 2019 to Thursday, December 26, 2019


Research Associate