Scientist / Senior Scientist AI-driven Battery Repurposing and Energy Storage Systems
About the Role
We are seeking a highly motivated Scientist / Senior Scientist to lead the research, innovation, and deployment of Energy Storage Systems (ESS) that utilise repurposed second-life EV batteries. This role integrates battery science, ESS / Battery Management System (BMS) engineering, and AI/MLpowered analytics to develop safe, scalable, and intelligent solutions for second-life battery applications.
You will contribute to the full technology development pipeline - from battery health assessment and grading to system-level design, predictive diagnostics, prototyping and testing of battery systems, as well as working on intelligent energy management. The successful candidate will play a pivotal role in delivering high-TRL ESS platforms, establishing data-driven BMS innovations, and shaping the next generation of second-life battery systems for real-world deployment.
Roles and Responsibilities
- Lead the research, design, testing and deployment of second-life battery-based Energy Storage Systems (ESS), including battery health assessment, grading, system integration and validation.
- Develop intelligent BMS architectures, with capabilities in SOC/SOH estimation, protection strategies, fault diagnostics scalable control algorithms for heterogenous second-life modules.
- Design system-level ESS architecture, covering electrical configuration, thermal management, PCS/EMS interfacing, safety compliance, and performance optimization.
- Drive AI/ML-based predictive analytics, lifecycle modeling, and data-driven approaches to enhance ESS reliability, safety, and long-term operational performance.
- Collaborate with multidisciplinary teams and industry partners to translate research outcomes into high-TRL, industry-ready solutions.
- Contribute to standards-aligned processes for second-life battery certification, characterization, and system validation
Job Requirements
- Strong expertise in lithium-ion battery systems and energy storage technologies.
- Experience in ESS system design, power electronics, battery modeling, or BMS development (software, controls, architecture).
- Knowledge of SOC/SOH estimation, battery degradation mechanisms and ageing analytics.
- Familiarity with system integration, EMS/PCS, and grid-connected systems.
- Familiarity with battery safety analysis and relevant compliance standards.
- Strong analytical skills and system-level thinking capability.
- Ability to translate research into deployable, high-TRL prototypes or solutions.
- Hands-on experience with modelling and simulation tools such as MATLAB/Simulink, Python-based modelling, or embedded systems development.
- Experience working with industry partners.
- Track record of scientific publications, patents, or technology commercialization.
Qualifications
- PhD in Electrical Engineering, Energy Systems, Power Engineering, Electrochemical Engineering, or a related discipline (for Scientist role).
- For Senior Scientist: demonstrated leadership in large-scale R&D programmes/projects and industry translation experience.
- 36+ years of relevant experience in battery dataset handling, ESS/BMS development, hardware-in-the-loop testing, and system optimisation
- Experience with UL1974, UL9540, or other relevant ESS standards is a strong plus
