What are the responsibilities and job description for the Battery Modeling Engineer position at A123 Systems LLC?
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.
Position Overview
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.
Primary Responsibilities
- 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.
Specific Skills/Experience
- 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.
Education
- Ph.D. degree in Engineering, Physics, Math, Statistics, Analytics, etc.