Publisher
source

Texas A&M AgriLife Research

Just Landed

Postdoctoral Research Associate in Crop Modeling, Remote Sensing, and Geospatial Technologies Texas A&M AgriLife Research in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time staff position with compensation commensurate with the selected candidate’s qualifications. Benefits include health, dental, vision, life, and long-term disability insurance; paid holidays; monthly paid sick and vacation leave; automatic enrollment in the Teacher Retirement System of Texas; and an employee wellness initiative. Texas A&M AgriLife contributes to employee health and basic life insurance premiums.

Country flag

Country

United States

University

Texas A&M AgriLife Research

Apply for this position

Keywords

Computer Science
Environmental Science
Agriculture
Remote Sensing
Geography
Artificial Intelligence
ML

Suggested positions

Publisher
source

He Yin

University of Utah

Country flag

United States

He Yin at the University of Utah is recruiting one fully funded PhD student for a Fall 2027 start. The project focuses on remote sensing and spatial intelligence methods to address environmental challenges, with research topics including land use change , agriculture , forests , water resources , and related Earth-system processes . The student will join an interdisciplinary environment through the School of Environment, Society, and Sustainability and the Scientific Computing and Imaging Instit...

Computer Science
Environmental Science
Agriculture
+8 more

2 weeks ago

Publisher
source

Virginia Tech

Country flag

United States

Fully funded PhD opportunity at Virginia Tech in AI for Sustainable Agriculture , hosted by the Ecosystem Intelligence Lab . The project sits at the intersection of artificial intelligence , machine learning , remote sensing , agroecosystems , and climate-resilient agriculture . Research themes include AI-driven decision support for sustainable agriculture, satellite remote sensing and machine learning, process-based ecosystem modeling, and agroecosystem dynamics under climate stress. This is a ...

Computer Science
Data Science
Environmental Science
+10 more

2 weeks ago

Publisher
source

University of Virginia

Country flag

United States

Kostas Andreadis, Associate Professor, is sharing a new research direction at the University of Virginia in the Department of Environmental Sciences . He will join UVA in Fall 2027 as the Commonwealth Associate Professor of AI and Environmental Sciences . The group will work at the intersection of AI and computational hydrology , using satellite observations and machine learning to understand and predict how water moves through the Earth system. Research directions mentioned include scientific m...

Computer Science
Environmental Science
Remote Sensing
+7 more

1 week ago

Publisher
source

Texas A&M AgriLife Research

Country flag

United States

Texas A&M AgriLife Research is advertising a Postdoctoral Research Associate position in College Station, Texas, United States , within the Department of Soil & Crop Sciences . The role focuses on drone phenomics , quantitative genetics , and maize/corn breeding , with strong emphasis on integrating phenomic, genomic, and weather data for biological discovery and breeding prediction. The successful candidate will coordinate and lead research activities involving drone/UAV/UAS data collection, pr...

Computer Science
Environmental Science
Agriculture
+8 more

1 month ago

Publisher
source

Song Shu

University of Kansas

Country flag

United States

PhD opportunity in Remote Sensing & Hydrology at Kansas State University Associate Professor Song Shu at Kansas State University is recruiting 1–2 highly motivated PhD students to join the School of Earth & Environment, with a planned start in Fall 2027. The research group works on surface water hydrology, water resources, and water storage dynamics using satellite and UAV/drone remote sensing, GIS, AI, and advanced computational methods. Potential topics include lake and river hydrology, water-...

Computer Science
Environmental Science
Remote Sensing
+8 more

1 month ago

About this position

Texas A&M AgriLife Research is seeking a full-time Postdoctoral Research Associate in Temple, Texas, to support multidisciplinary research in crop modeling, agricultural remote sensing, and geospatial technologies.

The researcher will investigate crop growth and yield, water use, and carbon and nitrogen cycling under different agricultural management practices. Responsibilities include designing and managing field experiments, collecting ground-truth data, analyzing datasets, operating and refining crop models, and improving prediction accuracy. The role also involves applying machine learning and artificial intelligence to crop management, yield prediction, and decision-support systems.

Applicants must have a PhD in Agronomy, Geosciences, Environmental Sciences, or a closely related discipline, together with strong agricultural remote-sensing experience. Proficiency with remotely sensed geospatial datasets and R or Python is preferred, as are experience or interest in carbon and nitrogen cycling, carbon sequestration, greenhouse-gas emissions, and environmental assessment. Applicants should also demonstrate publications, scientific presentations, and strong communication skills.

The position offers compensation commensurate with qualifications and a comprehensive employee benefits package. Applications should include a CV or resume, cover letter, list of references, and proof of the conferred degree. Apply through the Texas A&M AgriLife Workday portal.

Funding details

Full-time staff position with compensation commensurate with the selected candidate’s qualifications. Benefits include health, dental, vision, life, and long-term disability insurance; paid holidays; monthly paid sick and vacation leave; automatic enrollment in the Teacher Retirement System of Texas; and an employee wellness initiative. Texas A&M AgriLife contributes to employee health and basic life insurance premiums.

What's required

Applicants must hold a PhD in Agronomy, Geosciences, Environmental Sciences, or a closely related discipline and have a strong background in agricultural remote sensing. Applicants should be able to multitask and work cooperatively. Preferred qualifications include proficiency with remotely sensed geospatial datasets and R or Python; knowledge or interest in agricultural management impacts on carbon and nitrogen cycling, carbon sequestration, greenhouse-gas emissions, and global warming potential; an excellent academic record with authored or co-authored publications and scientific meeting contributions; and strong oral and written communication skills. Required application materials are a CV or resume, cover letter, list of references, and a copy of the degree or transcript showing the degree was conferred. Employment is contingent on credential verification and completion of a criminal history check.

How to apply

Apply through the Texas A&M AgriLife Workday application portal. Complete all application data or attach a complete resume, and upload a CV/resume, cover letter, list of references, and degree or transcript showing the degree was conferred.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.