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:

• Assist in the research, development, and enhancement of physics-based and data-driven battery models for various chemistries (e.g., LFP, NMC).
• Develop and validate Equivalent Circuit Models (ECM) through advanced parameterization and optimization techniques.
• Support the design and optimization of state estimation algorithms such as Extended Kalman Filters (EKF) for SOC, SOH, and RUL prediction.
• Analyze experimental and simulated data to validate models against lab results.
• Contribute to modelling of battery degradation phenomena like SEI growth, lithium plating, and thermal behavior.
• Implement battery simulation and analysis using tools such as MATLAB/Simulink, and Python. 
• Document methodologies, findings, and recommendations in clear technical reports and presentations.
• Collaborate cross-functionally with data scientists, software engineers, and hardware teams to integrate models into BMS platforms.

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.