Ryerson University Student Learning Centre
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Applicants with a strong background in Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Biomedical Engineering, Machine Learning and similar programs are encouraged to apply to the positions below.
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Ph.D. positions
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The Robotics and Computer Vision Lab (RCVL) at Ryerson University, Toronto, Canada, has multiple fully funded PhD positions.
Multiple projects in the following areas are available: - Simultaneous Localization and Mapping (SLAM), - Multi-robot Systems, - Path Planning, - Robot Navigation and Control, - Vision-based Navigation - Aerial/Underwater Robotics, - Focal-plane Sensor-processor Arrays (FPSP) and event cameras, - Reinforcement Learning, - Haptics, and - Telerobotics. Hands-on experience in the following topics is a bonus: - C/C++ - Python - Deep Learning frameworks, e.g TensorFlow, pyTorch, etc - Robot Operating System (ROS) - CUDA - OpenCV - Revision Control (GIT) To apply, please send the following documents to rcvl (at) ryerson (dot) ca only: 1- CV, 2- Unofficial transcripts (Both Bachelors and Masters), 3- Statement of research, 4- Sample publications and 5- English test scores (minimum requirements: 93 (TOEFL) or 7.0 (IELTS)). Incomplete applications will not be considered. Please include “PhD Applicant” in your subject line. Please indicate where you have seen this advertisement. Please see the following link for admission requirements by the Department of Mechanical and Industrial Engineering: https://www.ryerson.ca/mechanical-industrial/graduate/ Please see the following link for English requirements by the Department of Mechanical and Industrial Engineering: https://www.ryerson.ca/graduate/future-students/apply/requirements/ If you need further information, please contact rcvl (at) ryerson (dot) ca Start date: Winter 2023 Deadline: June 25, 2022 Note: There is no direct admission from B.Sc. to Ph.D. |
M.Sc. positions
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M.Sc. positions are only available for the Canadian Permanent Residents or Canadian Citizens.
Please email the documents requested above, and include “MSc Applicant” in your subject line. Start date: Winter 2023 Deadline: September 15, 2023 |