Lirong Xiang
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1 year ago
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Robotics, AI, Sustainable Agriculture Cornell University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
The position is fully funded, including full tuition coverage, a minimum annual stipend of $47,548, health insurance, and travel support for conferences. Opportunities for performance-based stipend increases are available.
Deadline
Expired
Country
United States
University
Cornell University
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About this position
Cornell University’s Automation and Robotics Lab, led by Dr. Lirong Xiang, is recruiting fully funded PhD students for Fall 2026. The research focuses on agricultural robotics, automation, AI, computer vision, machine learning, and intelligent system design, aiming to transform agriculture through advanced technologies.
The lab collaborates with federal agencies and industry partners, providing a dynamic and well-resourced environment. Successful candidates will receive full tuition coverage, a minimum annual stipend of $47,548, health insurance, and travel support for conferences, with opportunities for performance-based increases. Applicants should hold or expect to hold a B.S. or M.S. in Agricultural, Mechanical, Electrical, or Computer Engineering, or Computer Science, and possess skills in C++, Python, ROS, and strong communication abilities.
Experience in system design or research is a plus. The lab values diversity and encourages applications from women, underrepresented minorities, and international students. To apply, send your CV, transcripts, and research work to Dr. Xiang at the provided email.
The application deadline is December 1, 2025. Early applications are encouraged, and selected candidates will be invited for virtual interviews. Final decisions are made by the Cornell Graduate School. For more details, visit the Cornell Graduate Admissions website.
Funding details
The position is fully funded, including full tuition coverage, a minimum annual stipend of $47,548, health insurance, and travel support for conferences. Opportunities for performance-based stipend increases are available.
What's required
Applicants must have earned or expect to earn by Fall 2026 a B.S. or M.S. in Agricultural Engineering, Mechanical Engineering, Electrical or Computer Engineering, Computer Science, or closely related fields. Required qualifications include demonstrated interest or experience in robotics, automation, AI, or computer vision; proficiency in C++, Python, and familiarity with ROS; strong written and oral communication skills in English; and ability to work independently and as part of a multidisciplinary team. Experience in mechanical or electrical system design and prior research experience are considered a plus. Women, underrepresented minorities, and international students are highly encouraged to apply.
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