Ursula Eicker

Fully funded PhD opportunity at Concordia University in Montreal, Canada, focused on digital twins, energy systems, low-carbon housing, building energy simulation, retrofit strategies, electrification, and urban sustainability . The position is part of the Volt-Age research environment and the Quebec Sustainable Social and Community Housing Living Lab , supervised by Professor Ursula Eicker . The project works on decarbonization and electrification in social, affordable, and low-income housing, with living-lab sites in Longueuil, Montreal-Nord, Hochelaga, and Montreal. Research tasks include developing and implementing digital twin models for low-income housing and urban districts, building and applying building energy simulation models, designing retrofit strategies such as heat pumps, thermal storage, PV systems, and battery integration, modeling electrification scenarios, and contributing to decision-support tools for housing authorities and municipalities. The work also involves urban sustainability indicators, real-time monitoring data, and integration with 3D city models and the Tools4Cities platform. Funding: fully funded PhD with tuition coverage and a competitive stipend; the post specifies 35K CAD per year for 4 years . Eligibility highlights: master’s degree in Building Engineering, Mechanical Engineering, Energy Systems, Civil Engineering, or a related field; strong background in building physics and energy systems modeling; experience with EnergyPlus, TRNSYS, Modelica, or similar tools; programming in Python or MATLAB; and interest in sustainable cities and low-carbon infrastructure. How to apply: send a single PDF to [email protected] including a letter of intent, CV, transcripts, referee contacts, and supporting documents. Use the email subject line Digital twins_Your name . Applications are reviewed on a rolling basis.

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 .