Canada – PhD and Postdoc in Robotics Metropolitan University

Overview

University: Toronto Metropolitan University

Country: Canada

Deadline:

Fields: Robotics, Mechatronics, Computer Vision, Quantum Computing, Control Systems

Are you eager to advance the frontiers of robotics and automation while training in one of North America’s most dynamic research environments? If you are driven by the desire to contribute to cutting-edge developments in robotics, mechatronics, quantum computing, or medical technologies, the Canada Impact+ Research Training Awards at Toronto Metropolitan University could be your ideal next step.

Toronto Metropolitan University (formerly Ryerson University) stands as one of Canada’s leading urban research universities, located in the heart of Toronto, Ontario. Renowned for its innovative approach to education and research, the university is deeply integrated with the city’s diverse, tech-driven economy. Toronto itself is a global hub for technology, finance, culture, and healthcare, providing students and researchers with unparalleled access to industry leaders, research hospitals, and entrepreneurial opportunities.

The university’s Robotics, Mechatronics and Automation Laboratory (RMAL) is recognized for its interdisciplinary research and strong connections to industry, making it an ideal place for scholars seeking to make a tangible impact in their fields.

The Canada Impact+ Research Training Awards (CIRTA) aim to recruit outstanding doctoral and postdoctoral researchers—whether international or returning Canadians—to participate in high-priority research areas crucial to Canada’s future. The RMAL’s projects span several critical domains:

• Advanced digital technologies:
  Vision-based robot learning and quantum computing for robot motion planning and control.
• Health and biotechnology:
  Medical robotics, bionics, and modeling/control of continuum robotic systems, including innovations for cardiovascular interventions.
• Manufacturing and advanced materials:
  Visual servo control of industrial robotic manipulators, enhancing productivity and precision.
• Defence and dual-use technologies:
  Motion planning for aerial robots and robotic manipulators, supporting both civilian and defence applications.

Also See

• USA – Fully Funded PhD in Construction Automation at New Mexico State University
• Germany – PhD in Cancer Immunometabolism at University of Würzburg
• Canada – Environmental Science PhD at University of Guelph
• Sweden – Postdoc in Molecular Modelling at Malmö University
• Canada – PhD and Postdoc Positions in ECE at University of New Brunswick

These areas are not only at the forefront of scientific advancement but also have significant societal impact, from improving healthcare outcomes to strengthening industrial automation and enhancing national security.

Successful candidates will engage in both theoretical and experimental research within the following projects, each aligned with the priority areas above:

• Vision-based robot learning and control
• Quantum computing for robot motion planning and control
• Medical robotics and bionics for cardiovascular interventions
• Modeling and control of continuum robotic systems
• Visual servo control of robotic assembly
• Motion and planning of aerial robots and aerial robotic manipulators

The RMAL, under the leadership of Dr. Amiri and colleagues, offers a collaborative, resource-rich environment with access to state-of-the-art facilities and strong interdisciplinary ties.

The Ideal Applicants Will Possess

• A strong background in robotics, quantum computing, machine learning, computer vision, or control systems.
• Excellent programming skills, preferably in Python or C/C++.
• Familiarity with robotics frameworks such as ROS/ROS2 and/or PX4 or Ardu Pilot flight stack (especially for robotics-focused projects).
• Experience in hardware/software integration for robotic systems is a significant asset.
• A proven record of peer-reviewed publications in high-quality journals and conferences related to robotics, control, AI, or aerial systems.
• Motivation, independence, and a collaborative spirit to work on both theoretical and hands-on experimental…