Toronto Metropolitan University is offering fully funded PhD positions in the DECODER project, focusing on Building Information Modeling (BIM) Data Structures, Process Modeling, and Digital Twin Systems for Building Portfolio Assessment. The research is led by Professor Jenn McArthur in the Department of Architectural Science. The DECODER initiative aims to develop advanced digital tools for improving building energy performance and supporting large-scale decarbonization projects. The project bridges data science, building engineering, and sustainability to create scalable, intelligent solutions for building performance optimization. Two main PhD positions are available: (1) Developing Information Structures, which focuses on data exchange standards, process modeling, and openBIM/openGIS integration; and (2) Digital Twin for Portfolio Assessment, which involves automated geospatial data capture, AI-driven inference, and energy/cost simulation for retrofit scenarios. The work combines rapid energy modeling, fault detection and diagnostics, semantic learning, and self-tuning optimization algorithms to enhance operational efficiency and guide retrofit strategies. Applicants should have a master's degree in a relevant field such as civil/building engineering, architecture, geoinformatics, computer science, GIS, or mechanical engineering. Required skills include experience with openBIM, openGIS, process modeling, information workflows, data schema design, and strong programming and analytical skills. Familiarity with facility management data, building performance concepts, GIS platforms, spatial databases, and geospatial workflows is an asset. The positions are open to Canadian residents and citizens only. The PhD fellowship provides a stipend of 35,000 CAD per year for four years, supporting living expenses. The application process requires submission of a single PDF containing a letter of intent, academic CV, unofficial transcripts, names and contact information of two referees, publications (if any), and any other relevant documents. Applications should be sent to [email protected], with the position (WP1 or WP4) specified in the subject line. Applications are reviewed on a rolling basis. For more information, visit the DECODER project page or contact the project team. This opportunity is ideal for students interested in BIM, digital twins, smart building systems, energy simulation, retrofit optimization, and sustainable building design.