Virginia Tech
3 weeks ago
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
Country
United States
University
Virginia Tech

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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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