School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.  With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

A Research Fellow position is available at the School of Electrical and Electronics Engineering at Nanyang Technological University of Singapore for AI Net-Zero Energy Building Project. We are seeking potential researchers in the area of AI and smart energy management, especially, AI applications on HAVC control. Enthusiastic and self-motivated research candidates with strong publication record and research profile are welcome to apply.

We are looking for a Research Fellow to support the research for the project on building energy management with AI.

Key Responsibilities:

The Research Fellow will be responsible for undertaking in-depth research in the AI solutions for building energy management to improve the building energy efficiency toward net-zero energy building. They will be working closely with the team members on one or more research projects together in terms of interesting and challenging real-world datasets and problem statements.

• Design and develop new state-of-the-art AI algorithms and applications for the control and operation of building servicing system (especially HVAC system).

• Investigate and analyze real dataset availability and lead dataset generation.

• Demonstrate AI solutions on real world testbeds.

• Publish high-quality research papers with research outcomes in top-tier international journals and conferences.

Job Requirements:

• PhD Degree in Electrical and Electronic Engineering, Computer Engineering or related field

• A thorough knowledge of the research field of AI (e.g., deep reinforcement learning) and energy management (e.g., building energy management) is highly preferred.

• Experienced in building energy system models by professional software, e.g., TRNSYS, EnergyPlus, or Matlab Simulink

• Experienced in using the latest AI, and big data platforms.

• Excellent interpersonal communication and presentation skills.

Candidates with strong publication record in relevant areas are encouraged to apply.  The candidate should have a PhD degree, or is going to obtain the PhD degree in coming months.

We regret to inform that only shortlisted candidates will be notified.