PhD in Smart & Digital Agriculture at University of Manitoba University of Manitoba in Canada

PhD Opportunities in Smart & Digital Agriculture at the University of Manitoba, Department of Biosystems Engineering, Winnipeg, Canada.

Dr. Jiating Li’s research group is seeking 1–2 highly motivated PhD students to work on smart and digital agriculture systems. The research is centered on AI-driven crop modeling and prediction, precision agriculture, and decision-support technologies for crop management.

Possible research directions include:

- Sensing systems: integrated ground-aerial platforms such as drones, robots, and IoT for high-throughput crop monitoring.
- Data modeling: knowledge-guided machine learning that combines AI with physics-based models for robust crop prediction.
- Decision support systems: intelligent tools for fertilization, irrigation, and harvesting decisions.

The position offers full PhD stipend support and an interdisciplinary research environment. The post also notes that research publications are an advantage.

Eligibility highlights: a master’s degree in Agricultural and Biological Engineering, Biosystems Engineering, Computer and Electrical Engineering, Computer Science, Mechanical Engineering, or a related field; meeting the Faculty of Graduate Studies admission and English language requirements; and preferred experience in crop systems, Python/R/Matlab/C++, machine learning, deep learning, process-based modeling, multi-modal sensing, mechatronics, robotics, and prior publications.

Application process: email Dr. Jiating Li with a CV, a brief statement of intent (up to 2 pages), transcripts, and a sample publication if available. The stated best consideration date is May 20, 2026, with online interviews for shortlisted candidates in the first week of June. Start date is January 2027.