Battery Modelling & Optimisation Engineer, London

Addionics Company:

Addionics is a rapidly growing company focusing on the creation and development of the next generation of battery technology through innovative breakthrough methods. Addionics overcome 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 two countries and works with different partners around the world.

 

General job description:

Addionics is searching for a battery modelling and optimisation engineer to extend its CAE team. The position consists in creating and using multi-physics models (electrochemical, thermal, mechanical) to design and optimise the next generation of lithium-ion batteries at electrode, cell and system level. The successful candidate will therefore help develop ground-breaking solutions to resolve challenges from the pore-scale level (transport processes to understand structure-performance relationships, degradation mechanisms causing energy loss and power) to the system level (Battery pack performances, thermal management, safety). This work will involve close collaborations with Senior Battery Scientists and various industrial partners as well as with Addionics’ team in Israel. The battery modeller will report to the company’s directors and work within the offices based in Central London. The holder of the position will play a vital role in planning and successfully running and completing important models which will help determine R&D directions and scaling -up.

 

Responsibilities:

● Develop multiscale physics-based models of lithium-ion batteries

● Translate the results of physics-based models into system level simulations

● Work with experimentalists to gather data for the parameterisation and validation of models

● Work closely with company and other project partners

● Attend progress and project meetings

● Write progress reports

● Promote the company at external events

● Transfer simulation analysis into real world products

● Build a portfolio of electrochemical, mechanical and thermal models to meet the company targets

● Develop strong and healthy collaboration with the team in the UK and with the other R&D teams and functional groups in Israel

● Plan, conduct modelling experiments and liaise with the lab work

● Participate in planning process optimization and production scaling up

 

Essential:

● PhD related to battery electrochemical, mechanical and thermal modelling. Understanding of physicochemical phenomena in lithium-ion batteries. Backgrounds such as Mechanical/Chemical Engineering or a closely related discipline, or equivalent research, industrial or commercial experience are suitable

● Experience with electrochemical devices such as batteries

● Experience with modelling techniques

● Understanding system level simulations

● Experience with testing batteries or working with experimentalists

● Professional Experience with Multi-physics modelling software such as COMSOL

● Experience with Python (e.g. jupyter, pandas, matplotlib/seaborn/bokeh/plotly etc.), Java and other programming languages such as C/C++

● Team player with excellent communication skills

 

Desirable:

  • Experience in fabrication and testing of lithium-ion batteries

  • Experience in working in a software development environment

  • Experience in abusive tests at the cell and pack level

  • Experience in the area of image-based simulations

  • Experience in using machine learning for data analysis and simulations

  • Experience in working in a multidisciplinary research environment and across multiple institutions

  • Experience in working in a relevant manufacturing industry and/or Li-ion technology experience

  • Bonus: Statistics, algorithms, clustering, uncertainty quantification

  • Bonus: Data-driven modelling (unsupervised learning, regression, random forest, SVM, etc.)

Interested? Send your CV to: jobs@addionics.com