Battery Modeling and Algorithm Engineer

Do you have a passion for invention and self-challenge Do you thrive on pushing the limits of whats considered feasible As part of our Battery Engineering group youll help craft creative battery algorithm and modeling solutions that deliver more energy in smaller spaces than ever before! Join us and youll help us innovate new battery technologies that continually outperform the previous iterations. By collaborating with other product development groups across Apple youll push the industry boundaries of what batteries can do and improve the product experience for our customers across the world.

This position will develop battery physics-based models and machine learning algorithms to optimize battery performance.

Mathematical modeling of the electrochemical behavior of lithium-ion cells using partial differential equations (PDEs) or systems of ordinary differential equations (ODEs)nModel battery aging mechanisms into mathematical representations using physics-based model and machine learning modelsnWork with battery pack engineers to generate computationally efficient models that can be used as a basis for in-system fast charge algorithms in Apple products while handling aging of batteriesnWork with battery engineering groups to verify accuracy of battery models and performance simulation of new cell investigations prepare status reports related to design and performance issues and contribute to resolving issues as as technical contact point for electrochemical and aging modeling control algorithms machine learning algorithms and software techniques and application

MS in electrochemical processes and performance / safety in physics-aware machine learning modeling and in machine learning-based optimization techniques such as generic algorithm and gradient-based ML algorithms.

PhD and 10 years relevant industry in Matlab and/or in mathematical modeling of linear and nonlinear dynamical systems and distributed parameter deploying physics-based hybrid machine learning models into mass production of current state of the art production processes applicable to lithium rechargeable cells.

Required Experience:

IC