Fully Funded PhD in Intelligent and Interactive Buildings, Causal Modeling, and Human-Building Interaction at the University of Toronto University of Toronto in United States

PhD opportunity at the University of Toronto in the Intelligent and Interactive Buildings (IIB) Lab with Seungjae Lee (Assistant Professor). The lab is recruiting a fully funded PhD student to start in January 2027.

The project is titled “Transforming Building Energy Solutions with Causal Modeling” and is funded by the New Frontiers in Research Fund – Exploration stream. The student will work on data-driven causal learning methods, human-building interaction, and the development/demonstration of human-centric building solutions. The role includes both methodology research and practical experiments and field work.

Relevant study areas include computer science, mathematics, statistics, machine learning, data science, and building/energy-related engineering topics. The ideal candidate should have strong programming skills, scientific writing ability, communication skills, and problem-solving ability, along with a genuine interest in real-world applications.

To apply, email [email protected] with the subject line “IIB PhD Application - Your Name” by 2026-06-30. Include a short response explaining why you want to pursue your graduate degree with Dr. Seungjae Lee, plus your CV, transcripts, and one writing sample (preferably related/published work). Only promising applicants will be contacted, and multiple applications are discouraged.