Battery Modelling Engineer

About Us:

MEAtec is a fast-growing deep tech company developing AI-driven battery analytics, 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:

We are seeking a Battery Modelling Engineer to support our growing R&D initiatives. This is an excellent opportunity for students or recent graduates to gain exposure to industrial-scale battery modelling, AI-integrated solutions, and cutting-edge simulation tools.

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:

• A degree in Electrical Engineering, Electrochemistry, Physics, Materials Science, Mechanical Engineering, or a related field.
• Understanding of battery electrochemistry, thermal dynamics, and degradation mechanisms.
• Knowledge of ECM development, EKF algorithms, and state estimation principles.
• Proficiency in Python programming; experience with MATLAB/Simulink is a plus.
• Experience in fields related to battery simulation frameworks (e.g., PyBaMM) or multiphysics software such as COMSOL is advantageous.
• Familiarity with data analysis techniques and statistical modelling.
• Strong problem-solving mindset and analytical thinking.
• Excellent verbal and written communication skills in English (C1 level or higher).
• Demonstrated interest in battery technologies, energy storage systems, or electric mobility solutions.
• Excellent communication and presentation skills in English.

What We Offer:

• A hands-on, immersive experience in a cutting-edge R&D environment.
• Mentorship from experienced battery modeling and simulation professionals.
• Opportunity to work on real-world projects with meaningful outcomes.
• Flexible work schedule and a collaborative team culture.
• A chance to be part of a mission-driven company shaping the future of battery intelligence.