M-
Battery Modelling Engineer
Accepting applicationsMEAtec - Battery Intelligence · India
Full-Time Entry AIMATLABPythonSOC
Estimated market salary
₹10-18 LPA
This is a SiliconBoard market estimate, not an employer-posted salary.
Posted
20h ago
Category
Design
Experience
Entry
Country
India
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.
Show more Show less
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.
Show more Show less