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
