This PhD position focuses on developing intelligent charging strategies for electric vehicle (EV) fleets by leveraging Machine Learning and Mathematical Optimization. The project aims to create cost-efficient and grid-responsive solutions by considering factors like Time-of-Use (ToU) pricing, battery limitations, demand response signals, and service-level needs.
Applicants should have a background in Electrical/Computer engineering, Smart Energy Systems, or related fields, with skills in Python programming and Mathematical optimization. Familiarity with battery behavior and a strong interest in sustainable energy solutions are also preferred.
Country: Singapore
Deadline: 10/07/2025
Study Level: PHD
Salary: Not Specified
Email: arvinde@ntu.edu.sg
University Website: https://www.ntu.edu.sg/
Application Link:
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