Utah State University
Postdoctoral Fellow in above and below ground carbon estimation and mapping
Utah State University, Moab, Utah, United States, 84532
Postdoctoral Fellow in above and below ground carbon estimation and mapping
Requisition ID:
2024-8278# of Openings:
1Location:
US-UT-MoabCategory:
Research (non-Faculty)Position Type:
Benefited Full-TimeJob Classification:
ExemptCollege:
Quinney College of Natural ResourcesDepartment:
Environment & SocietyAdvertised Salary:
$63,000, plus excellent benefits
OverviewWe 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, 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. 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 and the U.S. Geological Survey. 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.
ResponsibilitiesThe 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.
QualificationsMinimum Qualifications:
PhD 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
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 DocumentsAlong 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 information for 3 professional references to be entered into Candidate Profile
Cover letter to be typed/pasted at the end of your application
Research Statement to be typed/pasted at the end of your application
Advertised Salary$63,000, plus excellent benefits
ADAEmployees work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes. The employee is regularly required to sit and often uses repetitive hand motions.
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Requisition ID:
2024-8278# of Openings:
1Location:
US-UT-MoabCategory:
Research (non-Faculty)Position Type:
Benefited Full-TimeJob Classification:
ExemptCollege:
Quinney College of Natural ResourcesDepartment:
Environment & SocietyAdvertised Salary:
$63,000, plus excellent benefits
OverviewWe 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, 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. 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 and the U.S. Geological Survey. 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.
ResponsibilitiesThe 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.
QualificationsMinimum Qualifications:
PhD 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
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 DocumentsAlong 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 information for 3 professional references to be entered into Candidate Profile
Cover letter to be typed/pasted at the end of your application
Research Statement to be typed/pasted at the end of your application
Advertised Salary$63,000, plus excellent benefits
ADAEmployees work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes. The employee is regularly required to sit and often uses repetitive hand motions.
#J-18808-Ljbffr