University of Georgia
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PhD Position in Precision Agriculture and Remote Sensing at University of Georgia University of Georgia in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Graduate Research Assistantship / PhD assistantship, expected to start in Spring 2027, with a 3-year assistantship. The post indicates a fully funded-style graduate research role but does not specify stipend amount or tuition coverage.
Country
United States
University
University of Georgia

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About this position
PhD position available at the University of Georgia, College of Agricultural & Environmental Sciences, Athens, Georgia, USA, within Dr. Lorena Lacerda’s Lacerda Research Group and the Integrative Precision Agriculture (IPA) team.
The project focuses on precision agriculture and remote sensing, including satellite and UAV-based applications for agriculture. Research tasks include geostatistics and data analysis, especially with thermal imagery, plus extensive fieldwork and UAV-based data collection. This is a strong fit for applicants interested in agricultural sensing, geospatial analysis, and data-driven crop research.
Eligibility highlights: a master’s degree in precision agriculture, agronomy, crop sciences, agricultural engineering, or a related field is preferable; documented remote sensing experience is required; ML experience or interest is a plus; applicants need a valid driver’s license, a UAV pilot license or willingness to certify, and fluent English. Preference is given to candidates already residing in the U.S. due to the short timeline.
Funding: Graduate Research Assistantship / PhD assistantship, expected start in Spring 2027, with a 3-year assistantship. No stipend amount is stated.
How to apply: email [email protected] with a cover letter, resume, two professional references, and unofficial transcripts. Visit the research group page for more details.
Funding details
Graduate Research Assistantship / PhD assistantship, expected to start in Spring 2027, with a 3-year assistantship. The post indicates a fully funded-style graduate research role but does not specify stipend amount or tuition coverage.
What's required
Master's in precision agriculture, agronomy, crop sciences, agricultural engineering or a related field is preferable. Documented remote sensing experience, particularly with thermal imagery from UAV/satellite data, is required. ML experience or interest is a plus. Applicants must have a valid driver's license, a UAV pilot license or willingness to certify, and fluent English. Preference is given to applicants already residing in the United States because of the short application timeline.
How to apply
Email [email protected] with a cover letter, resume, two professional references, and unofficial transcripts. Review the research group page for more information.
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