Battery Modelling Intern

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 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.
• Professional development and mentorship opportunities.