Job Description

The candidate will focus on the modeling and optimization of energy storage, especially Lithium-ion batteries. The target of the project is to smoothly integrate energy storage systems into power systems through advanced optimization methods for an enhanced economy

Qualifications

• Applicants are expected to have PhD degrees in Mechanical Engineering, Electrical Engineering, Control and Automation, Power and Energy, Applied Mathematics, or other related fields.
• Solid modeling, programming, and good communication skills are required
• A good research record in battery areas is required
• Similar research background and good writing skills are required. The candidate should be either an optimization expert or a machine learning expert.
• Deep understanding of optimization, machine learning, and artificial intelligence is highly desired
• Strong motivation and interest in staying in academia are desired
• A good publication record is highly desired

More Information
Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Mechanical Engineering
Employee Referral Eligible: No
Job requisition ID : 23250