[ES_JOBS_NET] CIRES/ NOAA Global Monitoring Laboratory, Carbon Cycle Modeling Post-Doctoral Associate

[Christine Wiedinmyer]

CIRES/ NOAA Global Monitoring Laboratory, Carbon Cycle Modeling
Post-Doctoral Associate
https://jobs.colorado.edu/jobs/JobDetail/?jobId=67179

The Cooperative Institute for Research in Environmental Sciences (CIRES)
and the NOAA Global Monitoring Laboratory (GML) in Boulder, Colorado,
announce an opportunity for a Post-Doctoral Associate to improve land
carbon cycle modeling using atmospheric carbon cycle observations and
satellite data constraints. This position involves using atmospheric carbon
cycle observations (e.g. carbon dioxide and its carbon-13 isotopologue, and
carbonyl sulfide) and satellite remote sensing data (e.g. land surface
temperature, solar induced fluorescence) to evaluate and optimize parameter
selection in land carbon cycle models. The goal of this research is to
optimize land carbon cycle models for drought monitoring and forecasting
hydroclimate in the western United States, and is funded through the NOAA
Modeling, Analysis, Predictions and Projections program. The successful
candidate will work on a NOAA MAPP Drought research grant
<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.drought.gov%2Fdrought-research%2Fadvancing-understanding-plant-drought-interactions-landscape-regional-scale&data=05%7C02%7CYasmine.Ortuno%40Colorado.EDU%7Cd309cb18b4864a87cc2f08ddefd749dd%7C3ded8b1b070d462982e4c0b019f46057%7C1%7C0%7C638930430130045101%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=FwpWWqokUm%2Bk3vAE%2B0WQh9%2FrZOY3MD4EmxKMlceed28%3D&reserved=0>
and
interact closely with principal investigators in the Carbon Cycle and
Greenhouse Gases group at the NOAA Global Monitoring Laboratory and at the
University of Colorado, Boulder.
CU is an Equal Opportunity Employer and complies with all applicable
federal, state, and local laws governing nondiscrimination in employment.
We are committed to creating a workplace where all individuals are treated
with respect and dignity, and we encourage individuals from all backgrounds
to apply, including protected veterans and individuals with disabilities.
 Who We Are
Who We Are

At CIRES <https://cires.colorado.edu/>, more than 900 environmental science
professionals work to understand the dynamic Earth system, including
people’s relationship with the planet. CIRES has partnered with NOAA since
1967, and our areas of expertise include weather and climate, changes at
Earth’s poles, air quality and atmospheric chemistry, water resources,
solid Earth sciences, and more. Our vision is to be instrumental in
ensuring a sustainable future environment by advancing scientific and
societal understanding of the Earth system.

The Global Monitoring Laboratory (GML) <https://gml.noaa.gov/> of the
National Oceanic and Atmospheric Administration (NOAA) conducts research
that addresses three major climate challenges: greenhouse gas emissions and
carbon cycle feedbacks; changes in clouds, aerosols, and surface radiation;
and recovery of stratospheric ozone. NOAA/GML operates staffed atmospheric
baseline observatories from which numerous in situ and remote atmospheric
and solar measurements are conducted. The overall scientific programs and
administrative functions of the observatories are handled from Boulder with
on-site staff caring for day-to-day station activities.
 What Your Key Responsibilities Will Be
What Your Key Responsibilities Will Be

   - (80%) Develop a Bayesian framework to evaluate an ensemble of land
   carbon cycle simulations to evaluate parameter choices influencing carbon
   uptake and release for plant-drought interactions. This will involve:
      - Preparing remote sensing and in situ data for use in a Bayesian
      modeling system, including consideration of measurement and model
      uncertainty in the construction of cost functions.
      - Designing and executing model experiments aimed at understanding
      constraints imposed by different types of observations at various spatial
      and temporal scales.
   - (10%) Lead and contribute to the publication of research results in
   the peer-reviewed literature.
   - (10%) Present research findings at national and international
   conferences.

 What You Should Know
What You Should Know

   - This position has funding for 2 years, pending sponsor approval of an
   award end date extension after 8/31/2026.
   - This is a hybrid position which will require in-person work as well as
   offer some opportunity for remote work.
   - The targeted start date for this appointment is November 1st, 2025.
   - This position will be rostered in CIRES at the University of Colorado
   Boulder, but will be located at the David Skaggs Research Center, 325
   Broadway, Boulder, CO.
   - If you are the selected finalist, you will be required to pass a
   federal laboratory background clearance for site access. Non-US citizens
   without green cards may have limited building access and require an escort
   in the building.

 What We Can Offer
What We Can Offer

   - CIRES can offer a generous compensation package.
   - The annual hiring salary range for this position is $65,000-$70,000.
   Salary is commensurate with education and experience and determined based
   on our CIRES internal career track classification.
   - Some relocation funds are available to help offset expenses, following
   CIRES and the University of Colorado’s relocation processes and procedures.
   - This position can accommodate a hybrid work modality.
   - CIRES and the University of Colorado boulder offer a robust training
   curriculum, opportunities for professional development and a Mentorship
   Program.
   - Boulder <https://bouldercolorado.gov/> is a vibrant community with
   access to mountain parks, dog parks, miles of trails, rivers, lakes, cafes,
   restaurants, boutiques, theaters, museums, and sports venues.
   - As an employee at CU Boulder, you will have free access to the regional
   public transit system, <https://www.rtd-denver.com/> an outstanding
   network of buses, and light rail systems that service Boulder and connect
   to Denver, the Denver airport, and surrounding communities.

 Benefits
Benefits
The University of Colorado offers excellent benefits
<https://www.colorado.edu/jobs/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 <https://www.colorado.edu/about>.
 Be Statements
Be Statements
Be challenged. Be talented. Be Boulder.
 What We Require
What We Require

   - A Ph.D. in Atmospheric Science, Earth System Science, Data Science,
   Applied Mathematics or a related field.
   - Demonstrated experience with numerical modeling, preferably on
   high-performance computing systems.
   - Demonstrated experience with analyzing and visualizing large datasets
   using scientific programming languages such as MATLAB, Python or R.

 What You Will Need
What You Will Need

   - Ability to critically interpret and diagnose model output.
   - Skill in manipulation and analysis of large and complex observational
   and model datasets.
   - Familiarity with both compiled and high-level programming languages.
   - Ability to work as part of an inclusive and productive team as well as
   the ability to formulate independent ideas.

 What We Would Like You to Have
What We Would Like You to Have

Please note that while the position details both required and preferred
skills and experience, we invite applicants to apply even if they do not
have the preferred skills and experience outlined in this section. If you
meet the requirements and have passion for the work, you are encouraged to
apply. We encourage on the job training for any additional skills or
knowledge that become relevant to the position.

   - Experience working with biosphere models and data assimilation
   techniques.
   - Experience with programming in Fortran.
   - Knowledge of Bayesian and ensemble Kalman filter techniques.
   - An interest in investigating ways to improve our knowledge of the land
   carbon cycle and to exploit multiple observational constraints for drought
   monitoring and prediction.
   - Experience in publishing peer-reviewed journal articles, technical
   reports, and presenting research findings at scientific conferences.

 Special Instructions
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 how this position aligns with
   your research interests.
   3. Although not required at the time of application, please be ready to
   submit information for 5 professional references (must include at least 2
   supervisors or professors). If you are identified as a finalist for this
   role, you will be asked to invite your references to complete a Crosschq
   questionnaire on your behalf. Crosschq is an online reference check
   solution. All information is kept confidential and shared only with the
   search committee members.

If you are selected as the finalist, your degree will be verified by the CU
Boulder Campus Human Resources department using an approved online vendor.
If your degree was obtained outside of the United States, please submit a
translated version as an optional attachment.

This position will close on October 2, 2025*.*

Note: Application materials will not be accepted via email. For
consideration, applications must be submitted through CU Boulder
<https://www.colorado.edu/jobs/>.

In compliance with the Colorado Job Application Fairness Act, in any
materials you submit, you may redact or remove age-identifying information
such as age, date of birth, or dates of school attendance or graduation.
You will not be penalized for redacting or removing this information.
Posting Contact Information

*Posting Contact Name:* Aleya Kaushik

*Posting Contact Email:* aleya.kaushik at colorado.edu
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