Funded MSc Thesis Positions in AI-enabled Computer Vision, Robotics, and Perception

Two fully funded MSc thesis positions are available at Algoma University under the supervision of Assistant Professor Omar AL-Buraiki. The research focuses on cutting-edge topics at the intersection of AI-enabled computer vision, robotic intelligence, 3D-SLAM/robotic perception, human–computer/robot interaction (HCI/HRI), and data-driven or learning-based control design. Successful candidates will explore how intelligent machines and robots perceive, interpret, make decisions, and adapt in real-world environments. The work involves developing and evaluating novel solutions using real sensor data, coding, experimentation, and contributing to collaborative research projects. Applicants should have a BSc degree in Computer Science, Robotics, Engineering, or a related field, with strong academic performance. Required skills include programming in Python and/or C++, and machine learning. Preferred backgrounds include robotics, computer vision, or photogrammetry. The positions offer two years of funding, though specific financial details are not provided. Students will have the opportunity to work on advanced research in machine vision, intelligence, and robotic situational awareness, pushing the boundaries of how machines see, reason, and act in real-world scenarios. To apply, candidates should email a single PDF application to [email protected], including a resume, motivation letter, list of relevant courses and grades, BSc transcripts, and optionally links to GitHub or publications. This is an excellent opportunity for students passionate about AI, robotics, and perception to join a collaborative research environment and contribute to innovative projects at Algoma University in Canada.