Research Fellow ( AI for Energy Storage System )

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 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 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

We are looking for a Research Fellow to work on a project on Li-ion battery ageing analysis and experiment testing.

Key Responsibilities:

• Perform experiment testing for Li-ion batteries

• Development of heath indicators based on the experiment testing data

• Development of machine learning models for battery health assessment and remaining useful life prediction

Job Requirements:

• PhD degree in Electrical Engineering or related subjects.

• Expert knowledge in Li-ion batteries and machine learning techniques, as well experiment testing.

• Research experience with battery ageing analysis, machine learning model development.

• Excellent verbal and written communication skills.

• 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 to inform you that only shortlisted candidates will be notified.

Hiring Institution: NTU