[ES_JOBS_NET] Seeking postdoctoral fellow in above- and below-ground carbon estimation and mapping (Utah State University, Moab)

[Brooke Osborne]

Postdoctoral Fellow in above- and below-ground carbon estimation and mapping

[Desert near Moab, UT]Job description: 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<https://www.ars.usda.gov/ARSUserFiles/30501000/ESD_summary.pdf>). 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<https://statewide.usu.edu/directory/brooke-osborne>’s lab at Utah State University-Moab and co-advised by Dr. Bill Smith<https://profiles.arizona.edu/person/wksmith> 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. The positions will be based in Moab, Utah.

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.

Minimum qualifications:

·         Ph.D. in Ecosystem Ecology, Biogeochemistry or closely related field

·         Demonstrated experience in ecosystem 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

Desired qualifications:

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

·         Experience collaborating with an interdisciplinary team

Application:
We request a cover letter, a CV, names and e-mail addresses of three (3) references, and a brief statement of research interests. Please send questions and materials to brooke.osborne at usu.edu<mailto:brooke.osborne at usu.edu> and wksmith at arizona.edu<mailto:wksmith at arizona.edu>. The position is open until filled

This promises to be an exciting and collaborative project with a supportive cross-disciplinary and multi-institution team – come join us!



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