Job Description Summary:

Designs and conducts independent and collaborative research on boundary layers, surface fluxes, and turbulence in the Earth’s atmosphere, possibly through sponsored research. Collaborates with groups that develop and support community modeling systems in the Mesoscale and Microscale Meteorology (MMM) Laboratory, with groups that develop and support community instruments in the Earth Observing Laboratory (EOL), and groups in the Research Applications Laboratory (RAL) of NSF NCAR. Also collaborates with interdisciplinary teams, providing expertise needed to improve predictability of the earth system. Participates in professional development and training activities provided by NSF NCAR and UCAR.

Position Details:

Visa Sponsored Job:

Yes

Relocation Assistance Eligible:

Yes

Job Location:

Boulder, Colorado

Position Type & Term:

Full time, Term - 6 months or more (Fixed Term)

Compensation Range:

Salary Range: $109,097-$136,370

*Final salary and rates are based on education, experience, skills relevant to the role.*

Application Notes

Application Deadline:

• This position will be posted until 11:59 PM MT on Friday, April 18, 2025.

Required application materials: (preferably in PDF Format)

• Resume
• Cover Letter - Please address your interest in this position as well as how your skills and experience meet the needs outlined in this posting (for more information, please refer to the Key Responsibilities and Knowledge, Skills, and Abilities sections of this job posting).

Background Checks: Conducted for candidates selected for hire. Learn more.
Work Location: Regardless of flexible work arrangements, UCAR requires ALL positions to be performed within the U.S., excluding U.S. Territories.

What You Will Do

Here is a brief summary of what one would expect to be generally responsible for in this role:

Use in-depth knowledge of boundary layers, surface fluxes, and turbulence in the Earth’s atmosphere to evaluate and advance community modeling systems that are developed and supported in the Mesoscale and Microscale Meteorology Laboratory of NSF NCAR (and across NSF NCAR). Evaluate and advance BL turbulence and flux observations from the Earth Observing Laboratory and elsewhere to improve the modeling systems.  Participate in and contributes expertise to NSF NCAR Strategic Programs, e.g., Earth System Predictability Across Timescales (ESPAT).

Conduct original research on boundary layers, surface fluxes, and turbulence in the Earth’s atmosphere using models, observations, and/or theory.  Participate in (or could lead) field programs.  Design and submit proposals to funding agencies in support of this research.  May supervise or mentor staff and visitors.

Serve as lead or contributing author on scientific manuscripts for publication in peer-reviewed journals. Contribute to community service as appropriate for a member of the community.  Examples may include manuscript and proposal review, committee membership within and outside MMM, EOL, RAL and NSF NCAR, and/or participation in the planning of conferences and workshops.

Participate in professional development activities and training. Examples of continuing professional development activities include attending workshops, seminars and conferences; mentoring; and participating in online and other external training opportunities, as well as training provided by NSF NCAR EdEC, NSF NCAR Labs and UCAR HR. The researcher may also participate in established networking opportunities for early career staff.

Who We'd Love To Join Our Team

Successful candidates will ensure their application materials speak to the following criteria:

Education and Experience (Required/Desired):

• Ph.D. in Atmospheric Science, or Physical Science, plus at least three years of experience in the scientific field of specialization; or an equivalent combination of education and experience.

Knowledge, Skills, and Abilities (Required/Desired)

●    Advanced knowledge of boundary layers, surface fluxes, or turbulence in the Earth’s atmosphere. 
●    Thorough understanding of technical areas such as modeling, instrumentation, theory, scientific computing or data science.
●    Experience conducting and/or analyzing field observations.
●    Advanced skill in planning and organizing a research effort.
●    Demonstrated abil