Battery Modelling Engineer

About Us:

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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.

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Position Overview:

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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.

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Key Responsibilities:

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• Develop and implement physics based battery models, including Single Particle Model (SPM) and Doyle-Fuller-Newman (DFN/P2D) models.
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• Perform parameter optimization and parameter tuning to improve model accuracy and performance.
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• Extend the physics based model for temperature and aging dependency by modeling phenomena like SEI growth and lithium plating.
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• Support development of digital twin solutions for battery systems.
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• Design, implement and optimize the state estimation algorithms such as Extended Kalman Filters (EKF) for SOC, SOH, and RUL prediction.
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• Work with LFP chemistry and related datasets for modelling and validation.
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• Utilize MATLAB/Simulink for modelling, simulation, and validation (preferred).
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• Collaborate with cross-functional teams to integrate models into BMS and simulation environments.
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Qualifications:

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

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