Publisher
source

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

Fully funded PhD positions with stipend, tuition coverage, health insurance, and conference travel support.

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Country

United States

University

University of New Mexico

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Keywords

Computer Science
Agriculture
Mechanical Engineering
Electrical Engineering
Agricultural Engineering
Computer Vision
Digital Twin Technology
Robotics
ML

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About this position

New Mexico State University is advertising fully funded PhD positions in AI for Agriculture through the Niu Lab. The research sits at the intersection of artificial intelligence, machine learning, computer vision, robotics, and agriculture, with an emphasis on interdisciplinary work and field experiments.

Eligible applicants include prospective PhD students from Computer Science, Computer/Electrical/Electronic/Mechanical/Agricultural Engineering, or related fields. The post highlights a preference for candidates with a B.S. or M.S. degree, interest or background in AI/ML, computer vision, robotics, or digital twins for agriculture, and programming skills in C++ or Python. Experience with ROS/ROS 2 is desirable, and applicants should be willing to conduct field experiments.

The funding package includes a stipend, tuition coverage, health insurance, and conference travel support.

Applications are reviewed on a rolling basis until all positions are filled, so early application is encouraged. The anticipated start term is Spring or Fall 2027.

To apply, email your CV, transcripts, and work samples to Dr. Haoyu Niu at [email protected] with the subject line Your Name_PhD Application.

Funding details

Fully funded PhD positions with stipend, tuition coverage, health insurance, and conference travel support.

What's required

Prospective PhD students with a B.S. or M.S. in Computer Science, Computer/Electrical/Electronic/Mechanical/Agricultural Engineering, or a related field. Applicants should have an interest or background in AI/ML, computer vision, robotics, or digital twins for agriculture, proficiency in C++ or Python, and ROS/ROS 2 experience is desirable. Willingness to conduct field experiments is required.

How to apply

Email your CV, transcripts, and work samples to Dr. Haoyu Niu at [email protected] with the subject line 'Your Name_PhD Application'. Applications are reviewed on a rolling basis until all positions are filled.

More information can be found here

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