Canada – PhD and MASc in AI & Mechanical Engineering at McMaster University

University: McMaster University

Country: Canada

Deadline: Not specified

Fields: Mechanical Engineering, Artificial Intelligence, Computer Vision, Data Science, Electrical Engineering

Are you driven to shape the future of applied artificial intelligence and intelligent systems, while collaborating with leading academic and industry experts? If you aspire to conduct research that bridges cutting‑edge AI with real‑world mechanical engineering challenges, this opportunity at McMaster University could be the next step in your academic journey.

McMaster University, located in Hamilton, Ontario, Canada, is renowned for its research‑intensive environment and commitment to innovation. As one of Canada’s top‑ranked universities, McMaster consistently ranks among the world’s best for its engineering and technology programs. The university’s collaborative academic culture, state‑of‑the‑art research facilities, and strong partnerships with industry and government make it an ideal destination for graduate study. Students at McMaster benefit from a vibrant campus community, access to leading researchers, and proximity to Canada’s major industrial and financial hubs, offering a unique blend of academic excellence and practical impact.

The Intelligent And Cognitive Engineering Laboratory at McMaster University is recruiting graduate students to work on two pioneering research directions at the intersection of artificial intelligence and mechanical engineering. The projects aim to advance applied AI in domains with significant societal and industrial relevance.

• AI-Driven X-ray Imaging & Reverse Engineering
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  This research focuses on deploying AI and machine learning to enhance X‑ray imaging pipelines for non‑destructive device analysis. The work is crucial for sectors where structural integrity and anomaly detection are paramount, such as electronics, manufacturing, and quality assurance. By developing scalable and explainable AI models, the project addresses the growing need for reliable, automated, and interpretable imaging solutions.

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• USA – Fully Funded PhD in Transportation Engineering at University of Mississippi
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• Explainable & Agentic AI with Industry Impact
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  In collaboration with Adastra Corporation (Toronto), this project aims to create next‑generation AI and data science strategies for industrial and financial applications. The emphasis on explainable AI, adaptive data pipelines, and autonomous agentic systems responds to the increasing demand for trustworthy and robust AI solutions in high‑stakes environments. These advancements are vital for organizations seeking to harness AI for proactive monitoring, anomaly detection, and governance‑ready decision‑making.

Both research directions are designed to have tangible impact, fostering innovation at the intersection of academia and industry.

Graduate students will join the Intelligent and Cognitive Engineering Laboratory, an interdisciplinary research group at McMaster University. The lab collaborates closely with industry partners and federal government teams, ensuring that research outcomes are both scientifically rigorous and practically relevant.

• Develop AI‑assisted X‑ray imaging pipelines for non‑destructive analysis
• Design machine learning models for structural detection and reconstruction
• Automate workflows for anomaly detection and interpretation
• Apply physics‑informed deep learning for explainable reverse engineering
• Scale data processing for complex, multi‑modal imaging datasets

• Collaborate with Adastra Corporation, Toronto
• Develop industrial and financial benchmark datasets
• Create adaptive pipelines for real‑world, messy data streams
• Integrate hybrid AI…