School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

Our department is seeking to hire a Research Associate to support the development of lithium-ion battery models, state estimation algorithms, and wireless charging optimisation methods. The role focuses on improving battery charging performance, safety, and efficiency through data-driven modelling and control strategies. This work contributes to the University’s mission of advancing energy technologies, supporting electric mobility, and enabling smarter, more efficient power systems.

Key Responsibilities:

Develop physics-based data-driven models for lithium-ion batteries (e.g. SOC, temperature).
Design and implement state estimation algorithms (e.g. SOC/SOH estimation).
Build and improve optimization algorithms for wireless power transfer (WPT) systems to reduce charging time and improve efficiency.
Analyse experimental data from battery testing and wireless charging systems.
Process and clean datasets, extract key features, and generate insights using data analytics techniques.
Develop simulation models (e.g. Python, MATLAB, LTspice) for battery systems and WPT circuits.
Integrate battery models with charging control strategies.
Conduct experiments and validate models using laboratory equipment.
Document methodologies, results, and findings in technical reports and publications.
Collaborate with team members on research projects and contribute to project deliverables.

Job Requirements:

Master’s degree in Electrical Engineering or related fields.
Expertise in developing control algorithms.
Knowledge of Li-ion battery modeling techniques.
Basic knowledge of modelling and control systems is preferred.
Research experience in predictive maintenance, battery thermal and health management.
Experience in mathematical modeling, data analytics, and machine learning model development.
Proficiency in programming languages such as MATLAB and Python.
Excellent verbal and written communication skills.
Strong analytical and problem-solving abilities.

We regret to inform you that only shortlisted candidates will be notified.

Research Associate (Power Engineering and ML)

Job Description