The School of Electrical and Electronic Engineering (NTU EEE) invites applications for the position of Research Fellow. The researchers will work on a project on Li-ion battery ageing analysis and experiment testing, funded by Astar.

Key Responsibilities:

• Perform experiment testing for Li-ion batteries
• Develop heath indicators based on the experiment testing data
• Develop 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 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