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
Sustainable Planning Optimization of Critical Mineral Supply Chains
Seeking M.A.Sc. Candidates
Join our NSERC Discovery Development Grant-funded research at the Smart and Sustainable Mining Lab (SSML) at Laurentian University. This project focuses on developing advanced optimization and decision-support frameworks to enhance the sustainability, resilience, and efficiency of critical mineral supply chains. The successful candidate will work on integrating mathematical modelling, multi-objective optimization, uncertainty analysis, artificial intelligence, and sustainability considerations to support strategic planning and decision-making across mining supply networks.
Required Background
• B.Eng. or equivalent degree in Mining Engineering, Industrial Engineering, or a closely related field
• Strong interest in operations research, optimization, and sustainable mining systems
• Experience with programming and data analysis (e.g., Python, MATLAB, or similar tools) is considered an asset
• Knowledge of mathematical programming, supply chain analysis, or multi-objective optimization is desirable
• Excellent analytical, problem-solving, and communication skills
Vision Language Action for General Purpose Humanoid Robots
Seeking M.A.Sc. Candidates Seeking Ph.D. Candidates
Join our NSERC-funded research on Vision Language Action (VLA) models for general-purpose humanoid robots, with projects spanning embodied AI, multimodal perception, robot manipulation, navigation, human-robot interaction, and autonomous skill learning to enable robots to understand, reason, and act in real-world environments.
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
Admissions & Funding
Graduate Studies
Review general admission requirements, language testing, and university deadlines.
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 follow these steps:
1
Find a Project
Review our active graduate research opportunities listed above to find a match for your background.
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 program application.
💡 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.