📄 Summary
The Intelligent and Interactive Buildings (IIB) Lab at the University of Toronto is inviting applications for a fully funded PhD position starting in January 2027. This opportunity is part of a cutting-edge research project focused on transforming building energy solutions using causal modeling techniques. The selected candidate will engage in both theoretical research and real-world experimentation related to human-building interactions.
Fully Funded PhD Position in Intelligent and Interactive Buildings (IIB) Lab – University of Toronto (January 2027 Intake)
🎓 Designation
PhD Research Scholar (Fully Funded)
🔬 Research Area
- Building Energy Systems
- Causal Modeling & Machine Learning
- Data Science & Artificial Intelligence
- Human-Building Interaction
- Smart & Sustainable Buildings
📍 Location
University of Toronto, Canada
✅ Eligibility / Qualification
Applicants must meet the following criteria:
- Strong academic background in mathematics, data science, or machine learning
- Demonstrated programming skills
- Interest in both methodological research and real-world applications
- Excellent scientific writing, communication, and problem-solving skills
🧪 Job Description
The selected PhD candidate will:
- Work on the project titled “Transforming Building Energy Solutions with Causal Modeling”
- Develop and apply data-driven causal learning methods
- Conduct experiments and fieldwork to study human-building interaction
- Contribute to designing and demonstrating human-centric building solutions
- Collaborate within an interdisciplinary research environment
📨 How to Apply
Interested candidates should apply via email with the following details:
- Email Address: sjae.lee@utoronto.ca
- Subject Line: “IIB PhD Application – Your Name”
- Deadline: June 30, 2026
Email Body Requirement:
Answer briefly (in a few sentences):
👉 “Why specifically are you looking to do your graduate degree with Dr. Seungjae Lee?”
Attachments Required:
- Curriculum Vitae (CV)
- Academic Transcripts
- One Writing Sample (preferably published or relevant work)
⏳ Last Date to Apply
June 30, 2026
