Research Associate (Battery Management Systems) Full-time

Research Associate

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

We are looking for a Research Associate for the development of battery Digital Twin for electric vehicle applications. The role includes development of battery management systems, machine learning models, and web-based user interface. Our objective is to improve the performance and safety of EV batteries and drive innovation in the field of battery Digital Twins.

Key Responsibilities:

• Develop Machine Learning based models for forecasting of battery temperature and health.
• Develop components of a battery model, including system integration, data processing, data quality control, and data visualization.
• Create AI-based optimization models for thermal and health management of EV batteries.
• Develop, maintain, and enhance web-based user interfaces.
• Prepare technical reports, presentations, and research publications.

Job Requirements:

• Master's degree in Electrical/Electronics/Energy Engineering
• Hands-on experience with Amazon Web Services (AWS), including deploying and managing cloud-based applications.
• Familiarity with integrating front-end web interfaces with backend systems and APIs.
• Familiarity with database management (e.g., MySQL, PostgreSQL, or NoSQL).
• Understanding of battery management systems (BMS)
• Proficiency in Machine Learning models such as Reinforcement Learning and Deep Neural Networks
• Proficiency in programming languages such as Matlab, Python, and Javascript
• Excellent verbal and written communication skills in English for research purpose
• Ability to work collaboratively in a fast-paced environment

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