[ES_JOBS_NET] MMM Postdoctoral Fellow I, NCAR, Boulder

[Christine Wiedinmyer]

https://ucar.wd5.myworkdayjobs.com/en-US/UCAR_Careers/job/Boulder-CO/MMM-Postdoctoral-Fellow-I_REQ-2026-123

Position Type:
Term - 6 months or more (Fixed Term)

Visa Sponsored Job:
Yes

Relocation Assistance Eligible:
Yes

Hiring Range:
82,650.00 USD - 82,650.00 USD

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

Application Closes at 12:00am MST on:
2026-08-11
About the RoleUCAR is excited to announce the job opening for the Mesoscale
and Microscale Meteorology (MMM) Postdoctoral Fellow role. This position
will contribute to research activities within NCAR’s MMM laboratory related
to developing a GPU-compatible and auto-differentiable version of the Model
for Prediction Across Scales (MPAS) using a higher-level, interpreted
language such as JAX. The MMM Postdoctoral Fellow will interact with NCAR
scientists, staff, and other postdoctoral fellows to advance the research
over the position’s one-year term, and will be encouraged to present at
scientific conferences, publish scientific papers, and pursue professional
development activities.

The mission of MMM is to lead and enable research that advances the
understanding of weather and to apply this knowledge to benefit society. In
support of this mission, MMM strives to produce accurate and effective
computational models, data assimilation systems, and representations of
unresolved weather model processes from local to global scales. We also
conduct theoretically driven social science and interdisciplinary research
that connects to the hazardous weather predictability and prediction
capabilities. With extensive external contributions, MMM’s efforts have
included development of the Weather Research and Forecasting (WRF) model,
the Model for Prediction Across Scales (MPAS), and sophisticated codes for
cloud-resolving and eddy-resolving simulations. MMM continues to emphasize
boundary-layer, turbulence and cloud-microphysics research. Eddy-resolving
simulations of mesoscale phenomena such as tropical cyclones, mesoscale
convective systems and fronts in the atmosphere and ocean enable research
of multi-scale dynamics., i.e., a deeper understanding of interactions
across a continuous spectrum of mesoscale and microscale atmospheric
motions.
Job Description

Application Deadline: This position will be posted until 11:59pm MT on
Tuesday, August 11, 2026. *Applications will not be accepted past this
date.*

Required application materials:

   -

   Resume - *preferably in PDF Format*
   -

   Questionnaire - *to be completed when submitting your application*
   *In lieu of a traditional cover letter, answer the following prompts
   that address the critical skills needed for this position.* Your answers
   will be read and weighed equally to your Resume/CV and should provide
   specific, detailed, and informative responses based on your direct and
   previous work experiences. *Please keep responses to 1-3 paragraphs per
   prompt.*
   -

      Summarize your background in the computational simulation of fluid
      systems, especially the atmosphere.* Did you write code? Did you
      perform numerical analysis of the computational solver? Did you address
      optimization and scaling of the computations? Did you work with
or develop
      codes that were differentiable? How big were the problems you worked on?*
      -

      Please briefly describe your experience related to the use of GPUs
      for computational fluid simulations. *(See above for possible
      dimensions your answer might consider.)*
      -

      Suppose you had a year to do unconstrained research related to
      computational simulations of the atmosphere. *What would you do, and
      why is it interesting?*

Background checks are conducted for candidates selected for hire. *Learn
more.* <https://www.ucar.edu/opportunities/careers/faqs>

Work Location Expectations:  This position is open to candidates seeking
in-person or hybrid (combination of 3 days in-person and 2 days of remote)
opportunities. 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.

Key Responsibilities

   -

   Conduct independent and collaborative research in machine learning for
   prediction of the Earth system or its components.
   -

   In collaboration with the PANDA-C team in MMM, develop machine-learning
   techniques that improve 0-12 h predictions of atmospheric cloud relative
   existing MPAS-JEDI baseline. These techniques may supplement components of
   MPAS-JEDI, or use MPAS-JEDI outputs and satellite observations as inputs.
   -

   Prepare research results for publication in peer-reviewed journals.
   Present results at conferences. Assist with project reporting as needed.

Who We'd Love To Join Our Team

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


Education and Experience:

   -

   Ph.D. degree within the last 5 years or expected within the next 6
   months in atmospheric science, computer science, statistics, or a related
   area.

Knowledge, Skills, and Abilities:

   -

   Advanced knowledge of numerical and computational techniques for fluid
   dynamics simulations, especially of the atmosphere.
   -

   Advanced skills in developing and deploying computational simulations of
   physical systems on GPUs.
   -

   Demonstrated ability to work independently and collaboratively as part
   of a research team.
   -

   Excellent time management and organization skills.
   -

   Demonstrated and effective written and oral communication skills.

*Desired, but not required:*

   -

   Subgrid parameterizations in computational fluid mechanics.
   -

   Basic knowledge of physical parameterizations used in computational
   models of the atmosphere, or more generally subgrid parameterizations in
   computational fluid mechanics.
   -

   Skill in developing efficient, scalable, and maintainable software for
   the simulation of physical systems.


Preferred Qualifications

Hiring Salary Rate: $82,650

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

Application RequirementsQuestionnaire, Resume/CV

For full consideration, all application materials must be submitted by *12am
(MST) at the start of the application deadline*. These should highlight how
your skills and experiences align with the responsibilities of this
position. We recognize that no candidate will meet 100% of the listed
qualifications. If you believe your background has prepared you for success
in this role, we encourage you to apply.

Supplemental questionnaires are often requested in lieu of a cover letter,
where you address critical skills needed for the position. Your answers
will be read and weighed equally to your resume and should provide
specific, detailed, and informative responses based on your direct and
previous work experiences.

*Background checks* <https://www.ucar.edu/opportunities/careers/faqs>
and/or federal screenings are conducted for candidates selected for hire.

Benefits Overview

UCAR offers a *comprehensive benefits package*
<https://www.ucar.edu/opportunities/careers/benefits>: health insurance,
dental, retirement plan, leave plans, tuition assistance, and employee
assistance programs:

   - Medical, Dental, Vision, and Short & Long Term Disability Insurance
   - Generous retirement plan - UCAR contributes of 10% of base salary
   - Time Off Plans
      - Minimum 20 days of annual PTO
      - 10 paid holidays
      - 12 weeks of paid parental leave
      - FAMLI Leave
   - Tuition Assistance Program
   - Public Service Loan Forgiveness (PSLF) eligible employer


*UCAR is an Equal Opportunity Employer and welcomes applications from all
individuals. We do not discriminate on the basis of race, age, sex, gender
identity, disability, veteran status, or any other characteristic protected
by law. Applicants are not required to provide age-related information
(like date of birth or graduation dates) in initial submissions. *

*For sponsored positions: UCAR can sponsor individuals for H-1B status only
if they are already in the U.S. in H-1B status or another visa status that
allows them to change to H-1B status within the U.S. UCAR is unable to
sponsor new H-1B visas for individuals who are outside the U.S. and need to
obtain H-1B status through Consular Processing.*

*While UCAR does not prohibit the use of AI tools in job applications, we
strongly recommend that applicants submit primarily original work.*

*All roles require compliance with U.S. export control regulations and work
location requirements. All hybrid staff are expected to work on-site
approximately 3 days per week. *
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