Battery Modeling Engineer

Position Overview

A123 Systems, LLC is a leading developer and manufacturer of advanced lithium-ion battery technologies and energy storage systems. Our solutions serve a wide range of applications, from traditional automotive batteries to utility-scale and commercial & industrial (C&I) energy storage. Committed to safety, longevity, and energy efficiency, A123 delivers high-performance battery technology solutions with a strong commitment to grow and serve our customers, industry requirements with the goal to make the Air Cleaner.

The Advanced Simulation Technology & AI Department at A123 Systems is hiring a Battery Modeling Engineer with the major responsibilities of developing physics-based models for different cell chemistry to understand the aging mechanisms and optimize the cell design, and developing data-driven AI machine learning models to optimize battery cell manufacturing process. Other responsibilities include conducting cell-, module-, and pack-level life simulation for Li-ion battery systems used in electric vehicles, plug-in hybrid electric vehicles, hybrid electric vehicles, energy storage systems, drone and electric vertical take-off and landing.

• Develop physics-based models to identify aging mechanisms and optimize cell design.
• Develop data-driven AI machine learning models to optimize the design of battery cell manufacturing process considering the cell quality control and capital costs.
• Support NBO and regular life simulation activities through global collaboration.
• Work in a global team and collaborate with cross-functional team colleagues.
• Communicate findings to external customers in a positive and constructive manner, and establish/maintain technical communications for any open issues.

• Solid knowledge of electrochemical modeling and battery aging.
• Solid Knowledge of battery chemistry and battery manufacturing.
• Excellent experience in modeling of electrochemical systems.
• Solid knowledge of machine learning, data cleaning, cloud computing, etc.
• Sophisticated software/programming skills, such as COMSOL, Matlab, Python, etc.
• Experience with ML libraries, i.e., Tensor Flow, PyTorch, etc.
• Experience in Li-ion battery modeling and machine learning in industry is a plus.
• Strongly self-motivated and willingness to learn new knowledge.
• 0-2 years industry working experience.

• Ph.D. degree in Engineering, Physics, Math, Statistics, Analytics, etc.