Recently, the progress in Internet of Things platforms has allowed the collection of large amounts of sensing data. Using this large-scale sensing data in real-world applications is a challenging problem. Motivated by applications related to smart buildings, the goal of this research program is to develop explainable AI techniques for challenging tasks using sensor data. Examples of tasks include but not limited to: estimating and predicting the approximate number of people in a smart building, recognizing the occupants’ activities, predicting future activity occurrence time, energy consumption forecasting, etc.
Academic qualifications required
PhD in Computer Science, Electrical Engineering, Buildings or related fields with experience in machine learning, data mining.
Applicants must not currently hold a postdoctoral appointment at Concordia
Priority will be given to postdoctoral fellows who have obtained their PhD from another university although in exceptional cases Concordia graduates may be considered
Please include the reference number with your application
One to three (1-3) page research statement demonstrating fit with the program described above.
Current curriculum vitae demonstrating research excellence and a capacity for leadership in the domain (maximum 5 pages).
Two letters of reference from academic supervisors or current employers to be sent via e-mail directly to Niyusha Samadi.
The prestigious two-year Horizon Postdoctoral Fellowships are valued at $50,000 per year plus benefits and full access to Concordia’s services, including GradProSkills.
Concordia University is a vibrant research and teaching environment, with state-of-the-art research facilities and many research centers. Concordia is located in Montreal, Canada, a diverse and creative city, often ranked as offering one of the best quality of living experiences in North America.
Concordia University is committed to Employment Equity and encourages applications from women, Aboriginal Peoples, visible minorities, ethnic minorities, and persons with disabilities.