About Us: MEAtec is a fast-growing deep tech company developing AI-driven battery analytics and digital battery passport solutions, second-life decision-making tools, lifecycle management platforms, and edge-to-cloud BMS technologies for electric vehicles and energy storage systems. With a strong focus on sustainability and the circular economy, we collaborate with leading academics, industry partners, and international organizations to advance battery intelligence and next-generation mobility across Europe and beyond.

Position Overview: As a Battery Modelling Intern, you will develop and validate electrochemical, equivalent circuit, and data-driven battery models for EV and energy storage applications. You will analyze performance data, calibrate models, and support their integration into BMS and digital twin systems, working closely with cross-functional teams. The role requires hands-on experience with battery modelling and tools like Python, MATLAB, and Simulink, along with strong analytical skills.

Key Responsibilities: Develop and implement physics based battery models, including Single Particle Model (SPM) and Doyle-Fuller-Newman (DFN/P2D) models.

Perform parameter optimization and parameter tuning to improve model accuracy and performance.

Extend the physics based model for temperature and aging dependency by modeling phenomena like SEI growth and lithium plating.

Support development of digital twin solutions for battery systems.

Design,



implement and optimize the state estimation algorithms such as Extended Kalman Filters (EKF) for SOC, SOH, and RUL prediction.

Work with LFP chemistry and related datasets for modelling and validation.

Utilize MATLAB/Simulink for modelling, simulation, and validation (preferred).

Collaborate with cross-functional teams to integrate models into BMS and simulation environments.

Qualifications: Pursuing a Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Mechanical Engineering, Chemistry, Physics, Materials Science, or related fields.

Understanding of battery electrochemistry, thermal dynamics, and degradation mechanisms.

Proficiency in Python;

experience with MATLAB/Simulink is a plus.

Experience with PyBaMM and any other battery simulation frameworks or multiphysics software.

Familiarity/experience with data analysis techniques, statistical modelling and machine learning is a plus.

Strong problem-solving and analytical skills.

Demonstrated interest in battery technologies, energy storage, or electric mobility solutions.

Excellent verbal and written communication skills in English (C1 level or higher).

What We Offer: Hands-on experience in a collaborative and fast-paced environment.

Opportunities to work on impactful projects that drive innovation.

Competitive salary and benefits package.

Flexible working hours and a supportive team culture.

Career development and mentorship opportunities.

📌 Battery Modelling Intern (India)
🏢 MEAtec -Battery Intelligence
📍 India