PhD Opportunities in Machine Learning at Université Laval, Quebec City
Université Laval in Quebec City, Canada, is currently offering two fully funded PhD positions in the field of machine learning. These positions are hosted within the dynamic research environment of the Institut intelligence et données (IID), with the possibility of association with Mila – Quebec AI Institute, one of the world’s leading AI research centers.
Both positions offer a competitive funding package of $30,000 CAD per year, which includes a tuition fee exemption. The expected start date for Canadian residents is September 2025, while international candidates are expected to begin in January 2026.
Project 1: Interpretable, Reliable and Robust Deep Models
This project focuses on the development of novel methods for training deep learning models that are interpretable, reliable, and robust. With machine learning systems becoming integral to critical decision-making processes, interpretability and robustness have never been more crucial.
For more details: Project 1 Description
Project 2: Data-Driven Transportation Models
In collaboration with Professor Bobin Wang, this project aims to learn data-driven transportation models capable of assessing the impact of new infrastructures and rare events. The research integrates machine learning techniques with real-world transportation data, addressing a range of challenges relevant to urban planning and mobility.
For more details: Project 2 Description
These opportunities offer an excellent platform for students eager to contribute to cutting-edge machine learning research within a supportive academic setting.
Prospective candidates are encouraged to review the full project descriptions through the links above and reach out for further details regarding the application process.
