Fully Funded PhD in Digital Twins and Energy Systems for Low-Carbon Housing Concordia University in Canada

Fully funded PhD opportunity in Digital Twins and Energy Systems for Low-Carbon Housing at Concordia University, Montreal, Canada, within the Quebec Sustainable Social and Community Housing Living Lab.

The project sits at the intersection of civil engineering, mechanical engineering, electrical engineering, computer science, environmental science, and urban planning. Research topics include building physics, urban energy systems, retrofit strategies, electrification, smart grids, renewable energy, energy modeling, sustainable cities, low-carbon housing, and data-driven decision tools.

The PhD is supervised by Ursula Eicker in the Department of Building, Civil, and Environmental Engineering. The project focuses on developing and implementing digital twin models for low-income housing and urban districts, building energy simulation models, retrofit and electrification scenarios, integration of real-time monitoring data, and decision-support tools for housing authorities and municipalities.

Funding is clearly stated as fully funded, including tuition coverage and a competitive stipend. The post also mentions a 35K CAD per year fellowship for 4 years.

Eligibility highlights include a master’s degree in a relevant engineering field, strong background in building physics and energy systems modeling, experience with tools such as EnergyPlus, TRNSYS, or Modelica, and programming skills in Python or MATLAB. Experience with digital twins, 3D city modeling, GIS, renewable energy systems, and grid interaction concepts is an asset.

Applications are reviewed on a rolling basis. To apply, send a single PDF to [email protected] with a letter of intent, CV, unofficial transcripts, referee contacts, publications, and any supporting documents. Use the email subject line: Digital twins_Your name.