Research Fellow (Energy Storage System)

Updated: 18 days ago
Location: Singapore,
Job Type: FullTime

School of Electrical and Electronic Engineering (NTU EEE) invites applications for the position of Research Fellow. The research fellow will work on 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 field

  • 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



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