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Funded PhD/MS in Crop Resilience to Abiotic Stress, Phenotyping, and Precision Agriculture at Texas Tech University Texas Tech University in United States
Degree Level
Master's, PhD
Field of study
Computer Science
Funding
3 funded PhD/MS positions are advertised as a TTU-USDA Collaborative Research Assistantship. The post indicates funded support, but does not specify stipend amount, tuition coverage, or duration.
Country
United States
University
Texas Tech University
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About this position
Texas Tech University’s Davis College and the USDA-ARS Cropping Systems Lab are advertising 3 funded PhD/MS positions for a TTU-USDA Collaborative Research Assistantship focused on crop resilience to abiotic stress in the Southern Great Plains, with special attention to the Ogallala Aquifer decline.
The project sits at the intersection of plant physiology, agriculture, phenotyping, remote sensing, breeding/genetics, and omics. Research activities include controlled chambers, greenhouse experiments, producer fields, and high-throughput phenotyping using drones with RGB, multispectral, and thermal sensors. The work also includes chemical/metabolite profiling, machine learning for trait extraction, and predictive modeling, with tools such as QGIS and Python.
They are looking for students from backgrounds such as biology, plant physiology, precision/digital agriculture, breeding/genetics, engineering (mechanical, electrical, chemical), computer science/data/AI-ML, or related areas. A quantitative foundation is important, and experience with Python/R, statistics, ML, and GC/MS is a plus. Applicants should also be willing to learn UAVs and sensor-based workflows and be comfortable with both field and lab research.
This is a funded graduate opportunity rather than a scholarship announcement. The post does not specify stipend amount, tuition coverage, or a formal deadline. Interested applicants should email a CV and cover letter to Haydee Laza, Chad Hayes, and Nicholas Pugh. The post notes that the top 5 candidates will be contacted for an online interview.
Funding details
3 funded PhD/MS positions are advertised as a TTU-USDA Collaborative Research Assistantship. The post indicates funded support, but does not specify stipend amount, tuition coverage, or duration.
What's required
Applicants should have a quantitative foundation and be willing to work across field and lab settings. Preferred backgrounds include plant biology/plant physiology, precision or digital agriculture, breeding/genetics, engineering (mechanical, electrical, or chemical), computer science/data/AI-ML, or related fields. Python or R, statistics, machine learning, and experience with GC/MS or similar tools are a plus. Willingness to learn UAVs and sensors is emphasized.
How to apply
Email your CV and cover letter to Haydee Laza, Chad Hayes, and Nicholas Pugh. The post says the top 5 applicants will be notified for an online interview.
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