About the role
Research Fellow ( AI for Energy Storage System ) is a active engineering role at ntu in NTU Main Campus, Singapore. Open the role to review the official description and apply on the company site.
CompanyOnsite
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
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