Reducing energy use in existing buildings is key to avoiding catastrophic climate change. Better computer models of how our buildings are performing are needed to give robust design solutions and evidence-based policies. Data-driven methods that use machine-learning have great potential as our buildings provide lots of data, but little is currently used for reducing emissions. The ReBuild Initiative is an industry-government-academia consortium that will undertake 16 projects that encompass the breadth and complexity of the challenge, each co-designed with a partner organization to apply specific areas of research to meet their needs.
Tagged as: Engineering
At Mérida Labs, we are looking for a motivated and solution-oriented Research Associate (RA) to lead the energy systems pillar....
ApplyApplications are invited for a Postdoctoral Position in Modeling for Complex Systems, with a focus on data-dependent methods and application areas highlighted...
ApplyProject background: There is an opportunity to transform the aerospace sector with the adoption of digital technology. DARS (Digital Aviation...
ApplyPlease visit rebuild.uvic.ca.
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