PhD / MASc Scholarships: The University of Guelph in Canada is inviting applications for funded PhD and MASc positions in Autonomous Drone Systems. The research focuses on developing AI-powered UAV technologies for agricultural applications, combining robotics, artificial intelligence, and drone system integration. Two positions are available: Computer Vision / AI and UAV Control & System Integration. Applications will be reviewed on a rolling basis until the positions are filled.
PhD / MASc Scholarships in Autonomous Drone Systems (Robotics & AI) – University of Guelph, Canada
Designation
- PhD Student
- MASc (Master of Applied Science) Student
Research Area
- Robotics
- Artificial Intelligence (AI)
- Computer Vision
- Autonomous Systems
- Unmanned Aerial Vehicles (UAV)
- Agricultural Robotics
Location
- Guelph, Ontario, Canada
- Host Institution: University of Guelph
Eligibility / Qualification
Position 1 – Computer Vision / AI
Applicants should have:
- Background in Computer Engineering, Electrical Engineering, or related fields
- Experience in computer vision, deep learning, or object detection
- Programming experience with Python, C++, and ROS
Position 2 – UAV Control & System Integration
Applicants should have:
- Background in Computer Engineering, Electrical Engineering, Mechatronics, or related disciplines
- Experience in drone flight control, robotics, or autonomous systems
- Experience with ROS and UAV platforms such as PX4, ArduPilot, or similar
General Requirements
- Minimum GPA: 85% (or equivalent)
- At least one first-authored journal or conference paper or an equivalent patent
- Exceptional MASc applicants with closely related experience may also be considered
Job Description
Selected candidates will work on a funded research project focused on autonomous drone-based systems for agriculture. Key responsibilities include:
- Developing AI and computer vision algorithms for drone perception
- Designing autonomous navigation and control systems for UAVs
- Integrating robotics, sensing technologies, and drone platforms
- Conducting experiments, simulations, and field testing for agricultural applications
- Publishing research findings in high-impact journals and conferences
How to Apply
Applicants should submit one combined PDF containing:
- Cover Letter describing research interests and relevant experience
- Curriculum Vitae (CV)
- Academic Transcripts (unofficial copies accepted)
- One representative publication (if available)
📧 Send the application to: Dr. Sheng Yang
Email: diimlab2020@gmail.com
Start Date
- May 2026 – Domestic students
- Fall 2026 – International students
- Flexible start thereafter
Last Date to Apply
- Open until filled (Rolling Basis)
