Publisher
source

Virginia Tech

Fully Funded PhD Positions in Agroecosystem Modeling and Remote Sensing at Virginia Tech Virginia Tech in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Two fully funded graduate research assistantships are offered for the PhD positions, including stipend, tuition, and benefits.

Deadline

Jan 15, 2027

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Country

United States

University

Virginia Tech

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Keywords

Computer Science
Environmental Science
Agriculture
Remote Sensing
Soil Science
Geography
Earth Science
Crop Rotation
Grazing Ecology
Nutrient Cycling
Ecological Modeling
Greenhouse Gas
Programming Language

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About this position

Two fully funded PhD positions are available in the Agroecosystem Modeling Lab at Virginia Tech for Fall 2027. The positions are supported by graduate research assistantships that include a stipend, tuition coverage, and benefits.

The research spans two main areas: Agricultural Diversification and Grazing and Pasture Management. Topics include crop rotation, cover cropping, crop yield, soil health, greenhouse gas emissions, forage productivity, soil carbon, nutrient cycling, field observations, remote sensing, and modeling. This opportunity is especially relevant for students interested in Agriculture, Environmental Science, Geography, Earth Science, Computer Science, GIS, remote sensing, and agroecosystem modeling.

Applicants should have experience with programming and large spatial datasets. A master’s degree in a relevant field is expected, such as agroecology, agronomy, remote sensing, GIS, soil science, geography, or a related discipline. Prior experience with APSIM, DSSAT, DNDC, or similar models is preferred.

To apply, contact Dr. Yongfa You by email and include a brief research statement, CV, transcripts, and contact information for three references. The deadline for international applicants is January 15, 2027.

Funding details

Two fully funded graduate research assistantships are offered for the PhD positions, including stipend, tuition, and benefits.

What's required

Applicants should have experience with programming and large spatial datasets. A master’s degree in a relevant field is required, such as agroecology, agronomy, remote sensing, GIS, soil science, geography, or a related area. Experience with APSIM, DSSAT, DNDC, or similar models is preferred. Applicants should also provide a brief research statement, CV, transcripts, and contact information for three references.

How to apply

Email Dr. Yongfa You with your brief research statement, CV, transcripts, and contact information for three references. Use the lab website for more information.

More information can be found here

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