Fully Funded PhD in Intelligent Mining Systems at Université Laval Université Laval in Canada

PhD Opportunity in Intelligent Mining Systems at Université Laval, Canada

The IMOM Lab (Intelligent Mining Operations & Monitoring Laboratory) at Université Laval is advertising a fully funded PhD position in intelligent mining systems. The project sits in the Department of Mining, Metallurgical and Materials Engineering and focuses on mine haulage optimization, data-driven modeling, artificial intelligence, computational modeling, sustainable mining, and the transition toward unmanned operations.

The supervisors listed are Dr. Chengkai Fan and Dr. Simon Dumais. The research is described as interdisciplinary and aimed at improving mine transport systems, operational performance, model adaptability, and the digital transformation of modern mining. Possible research directions include analytical and computational approaches for truck haulage performance evaluation, prediction and optimization; lower-CO2 and clean technologies for mine transport systems; and tools supporting the shift from conventional manned haulage to emerging unmanned operations.

Eligibility: applicants should have a background in Mining Engineering, Data Science, AI, Computational Modeling, or a related discipline. The post says the opportunity is open to international candidates.

Funding: fully funded PhD position. No stipend amount, tuition coverage details, or additional benefits are specified in the post.

Start date: Fall 2026 or Winter 2027.

How to proceed: review the lab and project information, prepare a CV and research-fit summary, and contact the supervisors if your background matches the advertised areas. No formal application deadline or portal is included in the post.