Agricultural robotics, AI, deep learning, computer vision Cornell University in United States

Cornell University’s Automation and Robotics Lab is recruiting fully funded PhD students for Fall 2026 under the supervision of Dr. Lirong Xiang, Assistant Professor in Biological and Environmental Engineering. The research focuses on agricultural robotics and automation, AI, deep learning, reinforcement learning, computer vision, robotic system design, and intelligent mechanical and electrical systems.

The lab collaborates with federal agencies and industry partners to develop technologies that enhance agricultural productivity and sustainability. The position offers full tuition coverage, a minimum annual stipend of $47,548, health insurance, and travel support for conferences, with opportunities for performance-based stipend increases.

Applicants should hold or expect to earn a B.S. or M.S. in Agricultural, Mechanical, Electrical, or Computer Engineering, or Computer Science, and demonstrate interest or experience in robotics, automation, AI, or computer vision. Proficiency in C++, Python, and ROS is required, along with strong communication and teamwork skills. 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. Lirong Xiang at [email protected] by December 1, 2025. Early applications are encouraged, and selected candidates will be invited for virtual interviews.

Final admission decisions are made by the Cornell Graduate School. For more details, visit the Cornell Graduate Admissions website.