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Postdoctoral Fellow in above and below ground carbon estimation and mapping

Requisition ID: 2024-8278

of Openings: 1

Location: US-UT-Moab Category: Research (non-Faculty) Position Type: Benefited Full-Time Job Classification: Exempt College: Quinney College of Natural Resourcs Department: Environment and Society Advertised Salary: $63,000, plus excellent benefits

Overview We are recruiting a postdoctoral researcher to join a multi-institution project focused on improving our ability to understand, predict, and manage above- and below-ground carbon stocks. This work, which is funded by the U.S. Department of Agriculture's Natural Resources Conservation Service (USDA-NRCS), will be applied to capturing carbon dynamics across space and time in dryland ecosystems of the western U.S. and around the world. This will include the characterization of carbon stocks for key groups of NRCS Ecological Sites and the integration of carbon storage and sequestration into associated State and Transition Model (STM) frameworks (more about here). The postdoctoral fellow will link satellite- and drone-based remote sensing data with ground-based above- and below-ground carbon measurements and will use cutting edge machine learning and related analyses to create predictive spatiotemporal models. The position will be based in Dr. Brooke Osborne's lab at Utah State University-Moab and co-advised by Dr. Bill Smith at the University of Arizona. The successful applicant will also work closely with collaborators from the USDA-NRCS, including Travis Nauman and Skye Wills, and the U.S. Geological Survey, including Sasha Reed and Mike Duniway. The position is funded for two years at a salary of $63,000/yr and can begin as early as September 1, 2024.

This position is telework eligible within the state of Utah. Telework outside of the state of Utah is subject to review and approval by the University prior to a job offer being extended.

Responsibilities The position is full-time and 100% research. The postdoctoral fellow will be responsible for developing novel hypotheses, processing and analyzing large satellite- and drone-based datasets, integrating these data with ground-based measurements, and developing innovative geospatial and statistical methods. They will be expected to publish research findings in peer-reviewed journals and present research at national conferences.

Qualifications Minimum Qualifications:

• PhD inEcosystem Ecology, Biogeochemistry or closely related field
• Demonstrated experience in ecosyste m science and a broad perspective on ecosystem processes and climate feedbacks
• Demonstrated skill in remote sensing and geospatial data analysis
• A record of publication in peer-reviewed journals

• Strong oral and written communication skills Preferred Qualifications:

• Prior experience with spatiotemporal data and geospatial analysis using R, Python, and/or other computer programming languages

• Experience collaborating with an interdisciplinary team

Required Documents Along with the online application, please attach:

• Resume/CV to be uploaded at the beginning of your application in the Candidate Profile under "Resume/CV"
• Name and contact... For full info follow application link.

USU recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the university's academic mission of learning, discovery, and engagement. USU is an Equal Opportunity employer and does not discriminate in any of its programs and activities based on race, color, religion, sex, national origin, age, genetic information, sexual orientation or gender identity/expression, disability, status as a protected veteran, or any other status protected by University policy or local, state, or federal law (https://equity.usu.edu/non-discrimination).