Machine Learning Researcher in Building Systems

6 days ago


Vancouver, British Columbia, Canada International Society for Industrial Ecology Full time

We are seeking a highly motivated PhD student to join our team at the International Society for Industrial Ecology. As a PhD student, you will be working on a project that aims to remove the technical barrier of integrating energy performance and carbon intensity metrics into building codes.

The successful candidate will have a Master's degree in Civil Engineering or other relevant disciplines, with a strong background in machine learning and programming experience in Python. You will also be required to have a proven track record of publishing research papers and a minimum TOEFL internet-based score of 100 or IELTS overall band score of 7.0.

Responsibilities include creating a bill-of-material (BoM) database for common building archetypes in Canada, developing a set of attributes to define the functionality of building archetypes, and developing machine learning models to identify functionally-equivalent archetypes.



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