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Texas A&M University
3 days ago
Fully Funded PhD in Robot Learning for Precision Agriculture Texas A&M University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD position is fully funded; no stipend amount or specific tuition coverage details are provided.
Country
United States
University
Texas A&M University
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About this position
Texas A&M University is advertising a fully funded PhD position in robot learning for precision agriculture, with an expected start in Spring 2027. The research will develop learning-based robotic systems for advanced agricultural applications.
The project will investigate autonomous plant inspection, robotic manipulation and precision pest management. Students may work with imitation learning, reinforcement learning and sim-to-real transfer to enable robots to operate effectively in agricultural environments.
The position is associated with the Controlled Environment Agriculture (CEA) Engineering Lab, led by Dr. Azlan Zahid, within the Department of Biological and Agricultural Engineering and the Texas A&M AgriLife Research Center-Dallas. The research environment brings together agricultural engineering, robotics, mechatronics, mechanical design and autonomous systems.
This opportunity is suited to applicants interested in applying robot learning and autonomous systems to controlled-environment and precision agriculture.
Funding details
The PhD position is fully funded; no stipend amount or specific tuition coverage details are provided.
What's required
Applicants must hold an MS in agricultural, mechanical, electrical or a closely related engineering field. They should have a strong foundation in robotics, mechatronics or mechanical design, plus proficiency in Python and/or C++. Experience with ROS or ROS 2 or robot simulation is required or preferred. Applicants should submit a cover letter, CV including TOEFL/IELTS scores, transcripts and publications.
How to apply
Prepare a cover letter, CV with TOEFL/IELTS score, transcripts and publications as one PDF. Email the single PDF to [email protected]. Applications are reviewed on a rolling basis until the position is filled.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.