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Battery Modelling Engineer

Addionics
London
7 months ago
Applications closed

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Addionics is a rapidly growing company focused on the creation and development of next-generation battery technology through innovative breakthrough methods. Addionics overcomes challenges in existing battery technology to result in significantly improved batteries with greater capacity, faster charging, and other performance characteristics. Addionics' unique technology enables battery development tailored for consumer electronics, micro-mobility, EVs, and other applications. Addionics currently operates in three countries and collaborates with various partners around the world.

General Job Description:

Addionics is looking for a Battery Modelling Engineer to join its CAE team. The role involves developing and applying advanced physics-based models to enhance the understanding, design, and optimization of lithium-ion batteries, with a strong emphasis on the mechanisms of battery degradation. The engineer will also focus on analysing battery performance and degradation using PyBaMM and battery data analysis techniques. The role includes also the development and application of mechanical, CFD and thermal model to analyse the process of production of 3D current collectors.

This work will be carried out within our London office and will involve close collaborations with Senior Battery Scientists in London and US, the engineering team in Israel, and various industrial partners.

Responsibilities:

  • Develop multiscale physics-based models of lithium-ion batteries with a focus on electrochemical processes, thermal dynamics, and degradation mechanisms.
  • Analyse battery data to extract performance metrics and identify early signs of degradation.
  • Develop multiscale physics-based models of current collectors production process
  • Collaborate with experimentalists to design tests and gather data for parameterization and validation of models.
  • Work closely with cross-functional teams and project partners to integrate modelling insights into practical applications.
  • Contribute to the development and optimization of battery testing protocols and techniques.
  • Attend and actively participate in progress and project meetings.
  • Write detailed progress reports and technical documentation.
  • Represent the company at external events, showcasing our modelling capabilities.
  • Translate simulation results into actionable insights for real-world battery applications.
  • Build a robust portfolio of models addressing electrochemical, thermal, and degradation aspects of lithium-ion batteries.
  • Foster strong collaboration with teams in the UK, US and Israel, ensuring alignment and synergy across R&D and industrialisation efforts.

Essential:

  • PhD or engineering degree in a field related to battery electrochemistry, thermal dynamics, or mechanical modelling.
  • 2 (+) years experience in a similar position
  • Strong understanding of the physics behind lithium-ion batteries and mechanisms of battery degradation.
  • Extensive experience with PyBaMM and other battery modelling tools.
  • Proficiency in battery data analysis techniques to extract performance metrics and degradation signs.
  • Knowledge of battery testing techniques and experience in designing or conducting battery tests.
  • Experience with programming languages such as Python, with a focus on data analysis and modelling.
  • Excellent communication skills and ability to work collaboratively in a team-oriented environment.

Desirable:

  • Experience in the fabrication and testing of lithium-ion batteries.
  • Experience working in a multidisciplinary research environment across multiple institutions.
  • Familiarity with machine learning techniques for data analysis and simulations.
  • Experience in a software development environment.
  • Experience with abusive tests at the cell level.

This position offers an exciting opportunity to work at the forefront of battery technology innovation, contributing to the development of cutting-edge lithium-ion battery models and enhancing the understanding of battery performance and degradation. If you are passionate about battery technology and have the skills and experience we are looking for, we would love to hear from you.

National AI Awards 2025

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