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Battery Modeling Engineer
Job in
Novi, Oakland County, Michigan, 48377, USA
Listed on 2026-06-03
Listing for:
A123 Systems, Inc.
Full Time
position Listed on 2026-06-03
Job specializations:
-
Engineering
Electrical Engineering
Job Description & How to Apply Below
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.
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