PhD Opportunities in AI and Robotics for Agriculture at Cornell University Cornell University in United States

Cornell University’s Ag Robotics Lab is advertising two PhD opportunities in AI and robotics for agriculture. The positions focus on building autonomous robotic systems for fruit crops in complex, unstructured field environments.

Research themes highlighted in the post include multimodal sensing and machine vision (LiDAR, RGB-D), machine learning and deep learning (3D reconstruction, detection), robotic manipulation for crop production (harvesting/thinning), motion planning, control, and autonomy for outdoor field robotics, and AI-enabled decision-making and sustainability.

The post names Manoj Karkee and indicates the opportunity is within his group at Cornell University. The lab is described as well resourced, with access to large-scale field experiments including commercial farms, and a collaborative environment with Stanford and Carnegie Mellon University.

Eligibility: Applicants should have an MS or a BS/BE for direct PhD entry in Mechanical Engineering, Electrical Engineering, Computer Science, Agricultural Engineering, or a related field. Relevant experience in robotics, AI/ML, machine vision, Python/C++, ROS/ROS2, and field robotics is preferred.

Funding: The post states that a competitive stipend is offered. No deadline is given; the start is described as rolling.

How to apply: Interested candidates should email Manoj Karkee at [email protected] with a CV and transcripts. The post does not provide a formal application portal.