Scientist III

remote type:
Location Type:
Hybrid Option Available (Mix of in-person and remote)
* ** Resume/CV**
* ** Cover Letter** - Please address how your skills and experience meet the needs of this position (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. .  
*
* Work Location:

** Regardless of flexible work arrangements, UCAR requires ALL positions to be performed within the U.S., excluding U.S. Territories.
* Conduct innovative research exploring ML/AI approaches for satellite data assimilation, including ML-based data    processing, QC, or bias/error modeling. Integrate novel methods to existing coupled DA systems in collaboration    with system developers.
* Design and conduct cycling experiments, analyze results with sound scientific interpretation, and evaluate ML/AI    enhancements on Earth system prediction, contributing to the enhancement of community coupled systems.
* Prepare research findings for presentation at conferences and for publication in peer-reviewed journals. Assist with    the preparation of reports, scientific proposals, and documentation, as needed.
* Contributes to papers, reports, technical documentation, data sets, findings, and/or proposals.
* Mentors less experienced colleagues, collaborates across disciplines, and supports proposal development to advance scientific goals through high-quality, methodologically sound work.
* Engages in mission-aligned activities both within the organization and throughout the broader scientific community.
* Contributes through a combination of scientific expertise, professional service, and education and outreach efforts.
* Has solid knowledge in a relevant scientific field, with an ability to apply theories, methods, or frameworks to complex or interdisciplinary problems.
* Is familiar with project planning and proposal development, including scoping technical work, aligning with program goals, and supporting deliverable management.
* Is skilled in developing or refining scientific tools, workflows, or models, including quality assurance and integration with broader project efforts.
* Is skilled in using data analysis tools used for data preparation, visualization, or workflow automation.
* Is committed to mentoring with the ability to guide less experienced colleagues on methods, tools, and collaborative practices.
* Is capable of contributing to peer-reviewed publications, sponsor reports, or presentations, with clear and accurate scientific communication tailored to varied audiences.
* Collaborates effectively within multidisciplinary teams, integrating diverse inputs and fostering productive working relationships.
* Demonstrates the ability to design and carry out analyses or investigative tasks independently using established methods, adapting approaches as needed.
* Understanding of inverse modeling.
* Demonstrated skill in scripting languages (e.g., python/shell), especially related to tests on supercomputers.
* Understanding of satellite meteorology or retrievals
* 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.
* Knowledge of Earth system modeling.
* Demonstrated knowledge of assimilating remote sensing data.
* Knowledge of data assimilation or ML/AI algorithms.
* Experience with ML/AI approaches for Earth system modeling.
* Experience with data assimilation and cycling experiments.remote type:
Location Type:
Hybrid Option Available (Mix of in-person and remote)
At NCAR - the National Center for Atmospheric Research - we study weather, water, climate, air quality, and space weather to help protect lives and livelihoods, grow the economy, and enhance our nation’s security and well-being. We collaborate with research partners to advance the science that makes predictions better and with end users to develop applications for forecasters, farmers, resource managers, retailers, the military, and many other stakeholders.

UCAR - the University Corporation for Atmospheric Research - manages NCAR on behalf of the National Science Foundation. We are a nonprofit consortium of more than 115 colleges and universities with research and training programs in Earth system science. We bring together the academic community and provide the operational management that are both essential to NCAR's success. UCAR’s community programs, from educational resources to data delivery and other services, extend the reach and impact of NCAR’s world-class research to the community and society..
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