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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via imaggeo.egu.eu)

Job advertisement Postdoctoral Research Scientists – Agroecosystem Modeling (SWAT+)

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Postdoctoral Research Scientists – Agroecosystem Modeling (SWAT+)

Position
Postdoctoral Research Scientists – Agroecosystem Modeling (SWAT+)

Employer

Texas A&M Agrilife Research

Texas A&M AgriLife Research is part of the nation’s largest and most comprehensive agriculture program, uniting a college and four state agencies under The Texas A&M University System. With more than 5,000 employees serving every county in Texas, AgriLife drives improvement in lives, environments, and the state economy through education, cutting-edge research, extension, and service.

The SWAT+ modeling group plays a vital role within this collaborative environment, advancing water and agricultural systems modeling as part of a core development team that brings together expertise from Texas A&M AgriLife Research, the USDA Agricultural Research Service, and the USDA Natural Resources Conservation Service.

Join us and contribute to pioneering research with leading scientists, world-class resources, and a commitment to real-world impact!

Homepage: https://blackland.tamu.edu/


Location
Temple, United States of America

Sector
Academic

Relevant divisions
Biogeosciences (BG)
Hydrological Sciences (HS)
Soil System Sciences (SSS)

Type
Full time

Level
Entry level

Salary
This is a two-year position funded by grants, and availability is contingent on grant funding and satisfactory job performance.

Required education
PhD

Application deadline
Open until the position is filled

Posted
13 November 2025

Job description

The SWAT+ modeling group at Texas A&M AgriLife Research is seeking a highly skilled and motivated Postdoctoral Research Scientist to join a collaborative, high impact intercomparison project funded by the USDA and led by Columbia University. The successful candidate will be an integral part of a leading soil and water modeling team, focusing on advancing the science of biogeochemical process modeling—specifically related to carbon and nitrogen cycling (e.g., soil organic carbon and N2O fluxes) in U.S. agricultural lands.