Industrial PhD Position in Building Engineering

Concordia University
February 25, 2024
Offerd Salary:N/A
Location:1280 Rue St. Jacques
Working address:1280 Rue St. Jacques
Contract Type:Fixed contract (1-4 years)
Working Time:Full-time position
Working type:On site
Ref info:N/A

I am looking for strong PhD candidate(s) to work on occupant-centric optimization of building operations. Their research will entail developing data-driven techniques to improve both energy efficiency and occupant comfort in buildings, with specific topics focusing on

1)  Advanced building control strategies (occupant-centric controls)


2)    Grid-interactive buildings


3)    Detailed investigations and modelling of occupant comfort

The candidate may work in collaboration with partners in both industry and/or academia. However, the position will be mainly supervised by Dr. Mohamed Ouf, who leads the Intelligent Buildings and Cities Lab at Concordia University, Montréal, QC Canada.


       A recent MSc degree in an engineering discipline (Building, Mechanical, Architectural, Civil) or a related field


       Experience in modelling building energy systems, and using at least one building simulation tool (e.g. Energy Plus, eQUEST, IESVE)


       Strong background in statistics, data analytics and machine learning, as well as linear and non-linear optimization techniques


       Strong technical writing skills and interest in producing high quality publications in top journals and conferences


       Experience with programming languages (i.e., Python, MATLAB, etc.)


       Excellent English written and oral communication skills (French is considered an asset)



Applicants should email Dr. Mohamed Ouf at [email protected] with the subject heading: “PhD Position in Building Engineering”. The email should include the following:

·         An indication of which topic the applicant is more interested in / have more experience


·         Detailed curriculum vitae (CV)


·         Cover letter (1 Page, no more than 500 words) explaining your suitability for the position and outlining previous research, modelling and/or programming experience


·         Contact information of at least two professional or academic references.


·         Transcripts and graduation certificates

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