Graduate Research Opportunities
Join our research teams: The School of Engineering and Computer Science is actively recruiting motivated graduate students to lead innovative projects.
💡 Don't see a project that matches your expertise? Review our Research & Expertise page - many faculty members are open to supervising exceptional students who secure their own external funding.
🔬 Active Graduate Research Projects
Vision Language Action for General Purpose Humanoid Robots
Seeking M.A.Sc. Candidates Seeking Ph.D. Candidates
Our research at the Laurentian Intelligent Mobile Robotics Lab (LIMRL) focuses on Vision-Language-Action (VLA) models for general-purpose humanoid robots. Research areas include embodied AI, multimodal perception, robot manipulation, navigation, human–robot interaction, and autonomous skill learning, with the goal of enabling robots to understand, reason, and act in real-world environments
Please note: The currently funded research positions have been filled. However, we welcome enquiries from motivated students interested in pursuing research in these areas, particularly those who have secured or are seeking external funding or scholarships.
Required Background
• Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mechatronics Engineering, or a related field
• Strong programming skills in Python or C++
• Experience in AI, machine learning, computer vision, or robotics
• Familiarity with ROS/ROS2, PyTorch, or OpenCV is an asset
• Strong research interest and problem-solving skills
Mathematical Programming, Operations Research, and Machine Learning
Seeking M.A.Sc. Candidates
Join upcoming research projects focusing on the development of advanced optimization algorithms and intelligent data-driven methods to solve complex real-world problems. This research addresses critical challenges across diverse modern application domains such as logistics, transportation, telecommunication, scheduling, healthcare, and smart systems. Successful candidates will engage in cutting-edge computational research, publish findings in leading academic journals, and develop deep expertise at the intersection of optimization, artificial intelligence, and machine learning.
Required Background
• Strong academic background in Mathematics, Computer Science, Industrial Engineering, Data Science, or a related discipline
• Strong passion for research and an eagerness to tackle challenging structural problems
• Interest in developing innovative computational approaches, mathematical frameworks, or algorithmic applications
Thesis-Based Master's Project in Underground Mining
Seeking M.A.Sc. Candidates
We are seeking an interested candidate for a thesis-based Master’s project in collaboration with an underground mining operation in Northern Ontario. This position offers a direct opportunity to conduct impactful research while working closely with industry professionals.
Key Requirements
Technical Experience: Practical background in rock mechanics and ground control.
Site Experience: Prior experience working at a mine site, with a strong preference for underground operations.
Licensing: A valid driver's license is required.
Admissions & Funding
International Info
Resources for study permits, international tuition fees, and living in Sudbury.
How to Apply
Before submitting a formal application through the university portal, prospective graduate students should review our Guide on How to Find a Supervisor and follow these steps:
1
Find a Project
Review our active graduate research opportunities listed above, or browse our Research & Expertise page to identify a faculty member whose research matches your interests.
2
Connect with Faculty
Email the prospective faculty supervisor directly to express your interest in joining their research group.
3
Share Your Background
Send over your academic background details so the professor can evaluate if you are a good fit for the lab.
4
Apply Online
After receiving a positive response from a supervisor, complete your formal application through the OUAC Graduate Application Portal.
💡 Tip for reaching out: Faculty members receive a high volume of student inquiries. To help your email stand out, introduce yourself clearly and make sure to attach your current CV, unofficial transcripts, and a brief statement (one or two short paragraphs) explaining exactly why you are interested in their specific research project.
📩 Looking to apply? Contact our recruitment team for more information at info@laurentian.ca. They can assist with admission requirements, program information, fees, residence, and the application process.