Job Description

The candidate will focus on the modelling, estimation, and optimization of Lithium-ion batteries. Both cell-level and pack-level research will be conducted to achieve a reliable battery plant in renewable energy systems

Qualifications

Applicants are expected to have BS/MS degrees in Mechanical Engineering, Automotive Engineering, Electrical Engineering, Control and Automation, Power and Energy, Applied Mathematics or other related fields. Specific qualifications for different positions are listed below:
 
     o   Solid modelling, programming, and good communication skills are required
     o   Good theoretical knowledge of either traditional optimization methods or machine learning is required
     o   Good understanding of batteries is desired
     o   MS degree/good publication record is a plus

More Information

Location: Kent Ridge Campus
Organization: Engineering
Department : Mechanical Engineering
Employee Referral Eligible: No
Job requisition ID : 10725