This position will develop battery physics-based models and machine learning algorithms to optimize battery performance. Details are:• Mathematical modeling of the electrochemical behavior of lithium-ion cells using partial differential equations (PDEs) or systems of ordinary differential equations (ODEs)• Model battery aging mechanisms into mathematical representations using physics-based model and machine learning models• Work with battery pack engineers to generate computationally efficient models that can be used as a basis for in-system implementation.• Develop fast charge algorithms in Apple products while handling aging of batteries• Work with battery engineering groups to verify accuracy of battery models and performance simulation of new cell designs.• Conduct investigations, prepare status reports related to design and performance issues, and contribute to resolving issues as required.• Act as technical contact point for electrochemical and aging modeling, control algorithms, machine learning algorithms, and software, techniques and application