University of New Mexico
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Fully Funded PhD Positions in AI for Agriculture at New Mexico State University New Mexico State University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Multiple fully funded PhD positions with stipend, tuition coverage, health insurance, and conference travel support.
Country
United States
University
University of New Mexico

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About this position
New Mexico State University (NMSU), in the Department of Computer Science, is advertising multiple fully funded PhD positions in AI for Agriculture for Spring or Fall 2027.
The research focus combines AI/ML, deep learning, computer vision, robotics, and agriculture, with topics including AI-enabled robotic systems for crop monitoring, vision-based sensing, autonomous navigation, sensor fusion, intelligent decision-making, digital twins, and simulation for agricultural applications. The post also mentions collaboration with IAAM, the College of Agricultural, Consumer & Environmental Sciences, and the NMSU Agricultural Experiment Station.
Applicants should have a B.S. or M.S. in Computer Science or Electrical/Electronic/Mechanical/Agricultural Engineering, or a closely related field. Desired experience includes AI/ML/RL, computer vision, multimodal sensing, robotics and autonomous systems (UAV/UGV), C++/Python, and ROS/ROS2. The post also asks for willingness to participate in field experiments and strong communication skills.
The positions are fully funded and include a stipend, tuition, health insurance, and conference travel support.
To apply, email [email protected] (Dr. Haoyu Niu) with your CV, academic transcripts, and samples of work such as publications, project reports, or a portfolio. Use the subject line "Your Name_PhD Application". Applications are reviewed on a rolling basis until filled.
Funding details
Multiple fully funded PhD positions with stipend, tuition coverage, health insurance, and conference travel support.
What's required
Applicants should have a B.S. or M.S. in Computer Science, Electrical/Electronic/Mechanical/Agricultural Engineering, or a closely related field. Strong interest in AI/ML/RL, computer vision, multimodal sensing, robotics and autonomous systems (UAV/UGV), digital twins and simulation for agriculture is expected. C++ and Python skills are desired, with ROS/ROS2 considered a plus. Applicants should be willing to participate in field experiments and have strong communication skills.
How to apply
Email Dr. Haoyu Niu with your CV, academic transcripts, and samples of work such as publications, project reports, or a portfolio. Use the subject line: "Your Name_PhD Application". Applications are reviewed on a rolling basis until the positions are filled.
More information can be found here
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