Purpose of the Role

•     Develop electrochemical models of lithium‑ion cells to predict voltage response across varying temperatures, states of charge and current conditions.
•     Build physics‑based and/or electrochemical models to understand how cell performance depends on design and manufacturing variables (e.g., coating thickness, material composition, microstructure).
•     Apply modelling insights to optimise cell design and manufacturing processes.
•     Develop empirical and/or physics‑based aging models for lithium‑ion cells.
•     Design experiments to calibrate aging models and validate them using laboratory tests and/or field data.
•     Use aging models to predict battery lifetime and warranty performance across different operating conditions.

Essential Skills & Experience

•     PhD in electrochemistry, chemical engineering, mechanical engineering, or a related discipline.
•     Minimum 3+ years of industrial experience in battery modelling.
•     Hands‑on experience with electrochemical modelling tools such as COMSOL, AutoLion or equivalent.
•     Deep understanding of lithium‑ion cell electrochemistry.
•     Strong knowledge of degradation mechanisms and failure modes in lithium‑ion cells.
•     Proficiency in Matlab/Simulink.

Desired Skills

•     Experience with BMS algorithms (SOP, SOC, SOH).
•     Exposure to AI or machine learning applications in design or manufacturing.

Additional Requirements

•     Strong leadership qualities and the ability to influence technical direction.
•     Effective project and resource management skills.

Why Join Agratas?

•     Work on next‑generation battery technologies shaping the future of mobility and energy.
•     Be part of a fast‑growing organisation with the agility of a start‑up and the backing of Tata Sons.
•     Collaborate with world‑class experts across our global R&D hubs.
•     Contribute to sustainable innovation with real‑world impact.