Research Fellow (Power Engineering)

The School of Electrical and Electronic Engineering (NTU EEE) invites applications for the position of Research Fellow. The Research Fellow will work on a project to conduct the research on development of data-driven methods for power system stability analysis, control, and optimization.  

Key Responsibilities:

• Develop machine learning algorithms for power system stability analysis.

• Develop power system optimization models with stability constraints.

• Develop data-driven optimization methods for power system operation.

Job Requirements:

• PhD in Electrical Engineering or related subjects.

• Expert knowledge in AI and machine learning for power engineering

• Research experience with power system operation and control.

• Excellent verbal and written communication skills in English.

• Strong analytical and conceptual abilities.

• Able to work independently and in a team to realize proposed research work.

• Publication track record is an advantage

• Proficiency in basics of programming languages such as matlab and Python

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU