Research Associate (Dept of Building)_Machine Learning

Updated: 28 days ago
Location: Kent Ridge,


Job Description

 

Successful candidates shall work on developing the machine learning models for multi-task building energy consumption forecasting, with aim to improve the building energy efficiency.

 

- Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers.

- Lead student projects and industrial projects with implementable outcomes.

- Respond to the deliverables of research and industrial projects.


Qualifications

 

- Honors or higher degree in Computer Science, Operations Research, Civil engineering, or in other relevant science and engineering disciplines.

- Outstanding data analytics, mathematical, and computer modelling skills.

- Outstanding academic/publication records.

- Proficient in communication and academic writing.

- Self-driven and strong team spirit.


More Information

Location: Kent Ridge Campus

Organization: School of Design And Environment

Department : Built Environment

Employee Referral Eligible: No



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