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CIRES/PSD Boundary Layer Meteorologist Research Scientist

Requisition Number:



Boulder, Colorado

Employment Type:

Research Faculty



Job Summary

The Cooperative Institute for Research in Environmental Sciences (CIRES) in Boulder, Colorado is seeking a post-doctoral or early career research scientist to work at the NOAA Earth System Research Laboratory (ESRL) with its Physical Sciences Division (PSD) Boundary Layer Observations and Processes team. The chosen candidate will:

  • Collect and analyze atmospheric boundary layer observational data sets.
  • Develop new methods for integrating multiple remote sensing and in-situ instrumentation systems to extract useful meteorological information.
  • Use observations to improve our understanding of boundary layer dynamical processes.
  • Use observations to evaluate numerical weather prediction models.

The chosen candidate will be expected to become a leader in boundary layer research, pursuing research questions of particular relevance to NOAA's mission. Candidates should have excellent communication skills and be very comfortable working in a team environment.

These positions will be located in Boulder, Colorado, with an office at the NOAA Earth System Research Lab (ESRL), Physical Sciences Division (PSD).

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.

Physical Sciences Division


What Your Key Responsibilities Will Be

  • Conduct research relevant to NOAA and ESRL/PSD's missions involving boundary layer meteorology and its application to renewable energy, severe weather, air quality, hydrology, and weather forecasting. 
  • Work collaboratively with a research team, including other NOAA laboratories and potentially operational partners in the National Weather Service.
  • Effectively convey the research results through reports, peer-reviewed journal articles, and presentations.
  • An opportunity exists to write proposals to partially fund the team’s research activities.

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 rostered in CIRES at the University of Colorado Boulder, but the position will physically work at the NOAA federal laboratory at the David Skaggs Research Center (DSRC) at 325 Broadway, Boulder, Colorado. Finalist must be able to pass a federal background check for gaining site access at DSRC.

What We Can Offer

CIRES can offer a competitive salary, commensurate with experience.


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.

Be Statements

Be Accomplished. Be Strategic. Be Boulder.

What We Require

  • Ph.D. in Atmospheric Science or a related discipline.
  • 2 years of demonstrated experience (professional or obtained through academic training) with ground-based meteorological remote sensing observing systems, and diagnosing observations to understand fundamental physical processes.
  • 1 year of experience (professional or obtained through academic training) developing structured code in commonly used languages, which might include Matlab, Python, IDL, R, Fortran90, C, and UNIX scripting.

What You Will Need

  • A proven record publishing articles and presenting your research in conferences and seminars.
  • Excellent skills in writing and speaking English, and exceptional communication skills.
  • The ability to travel with roughly a frequency of 2-4 trips per year.

What We Would Like You To Have

  • Familiarity with boundary layer parameterization schemes within numerical weather prediction models would be useful.

Special Instructions

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 References: the names, professional titles, and contact information of those who are familiar with your qualifications and work history. 
  4. One (1) confidential Letter of Recommendation will be required for those who are short-listed, or who is identified as the finalist, depending on the selection process. It is important that your referees are prepared in advance to expect an email from CU Boulder Campus HR requesting that the letter be uploaded through the link provided in the email. This referee may also be someone who you have used on your "List of References."

Full consideration will be given to applications received by May 31, 2019, or until the position is filled.

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

Posting Contact Name: Laura Bianco

Posting Contact Email:

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.