About this role
Senior Battery Cell Modeling Scientist - Simulation
Responsibilities
•
Responsible for building cell mathematical simulation models (physical models and data-driven models) to predict the performance of Li-ion batteries/Li-metal batteries under various working conditions, including dynamic performance, lifetime decay, electrochemical and thermal response, and safety-related cell behavior
•
Design and advance experiments to obtain parameters/data required to build cell models
•
Work with cross-functional teams to develop, deploy, test, and maintain models
•
The electrochemical/thermal data of the cell under different working conditions are generated by using the certified physical model of the cell to provide data support for the establishment of the data-driven model
•
Establish a standardized process for cell physical modeling to reduce the resources/time required for modeling
• Provide documentation related to model and algorithm development
•
Work with the battery team to determine and achieve battery performance life goals
Qualifications
•
Master’s degree or above, more than 5 years of battery related research/work experience
•
Basic knowledge of cell electrochemistry (P2D), thermal, mechanical modeling and simulation. Familiar with electrochemical principle, simulation parameter measurement method and corresponding equipment
•
Familiar with various battery-related models/algorithms, and have experience in using cell model software (COMSOL, Ansys, PyBaMM, etc.)
•
Experience in building data-driven models (statistical analysis, machine learning, AI)
•
Proficient in code development tools, such as Python or Matlab
Responsibilities
•
Responsible for building cell mathematical simulation models (physical models and data-driven models) to predict the performance of Li-ion batteries/Li-metal batteries under various working conditions, including dynamic performance, lifetime decay, electrochemical and thermal response, and safety-related cell behavior
•
Design and advance experiments to obtain parameters/data required to build cell models
•
Work with cross-functional teams to develop, deploy, test, and maintain models
•
The electrochemical/thermal data of the cell under different working conditions are generated by using the certified physical model of the cell to provide data support for the establishment of the data-driven model
•
Establish a standardized process for cell physical modeling to reduce the resources/time required for modeling
• Provide documentation related to model and algorithm development
•
Work with the battery team to determine and achieve battery performance life goals
Qualifications
•
Master’s degree or above, more than 5 years of battery related research/work experience
•
Basic knowledge of cell electrochemistry (P2D), thermal, mechanical modeling and simulation. Familiar with electrochemical principle, simulation parameter measurement method and corresponding equipment
•
Familiar with various battery-related models/algorithms, and have experience in using cell model software (COMSOL, Ansys, PyBaMM, etc.)
•
Experience in building data-driven models (statistical analysis, machine learning, AI)
•
Proficient in code development tools, such as Python or Matlab
Tech stack
Python
About SES AI
SES AI is hiring for the senior battery cell modeling scientist - simulation role. NewJob aggregates active openings directly from SES AI's applicant tracking system, so this listing is current.
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