Research Associate (Battery Management Systems)

Nanyang Technological University
$75,861 - $96,057 a year
Singapore
Full time
1 day ago
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.
For more details, please view
https://www.ntu.edu.sg/erian
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.
Hiring Institution: NTU
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