Battery Modeling Engineer: AI-Driven Cell Design & Aging

A123 Systems; Novi (MI); On-site; USD 75,000 - 95,000; Full time

Job summary

A123 Systems is seeking a Battery Modeling Engineer in Novi, Michigan. The role involves developing physics-based models for battery chemistry, optimizing designs, and creating machine learning models for manufacturing processes.

Applicants should have a Ph.D. in Engineering or a related field, and knowledge in electrochemical modeling, machine learning, and software programming is required. Join A123 and contribute towards cleaner air solutions.

Qualifications

• Strong knowledge of electrochemical modeling and battery aging.
• Solid understanding of battery chemistry and manufacturing processes.
• Experience in machine learning and data cleaning.

Responsibilities

• Develop physics-based models to identify aging mechanisms and optimize cell design.
• Develop data-driven AI models to enhance battery manufacturing processes.
• Conduct life simulations for various battery systems.

Skills

Electrochemical modeling

Battery aging knowledge

Machine learning

Modeling of electrochemical systems

Software skills (COMSOL, Matlab, Python)

Experience with ML libraries (Tensor Flow, PyTorch)

Education

Ph.D. degree in Engineering, Physics, Math, or Statistics

Job description

A123 Systems is seeking a Battery Modeling Engineer in Novi, Michigan. The role involves developing physics-based models for battery chemistry, optimizing designs, and creating machine learning models for manufacturing processes.

Applicants should have a Ph.D. in Engineering or a related field, and knowledge in electrochemical modeling, machine learning, and software programming is required. Join A123 and contribute towards cleaner air solutions.