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
- Advanced building control strategies (occupant-centric controls)
- Grid-interactive buildings
- 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.
Requirements
- 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)
HOW TO APPLY
Applicants should email Dr. Mohamed Ouf at Mohamed.Ouf@Concordia.ca 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
DEADLINE
Review of applications will begin immediately but the application deadline is February 25th, 2024 (later submissions may be considered under exceptional circumstances)