Lead the development of advanced simulation models for Li-ion and Li-metal batteries to enhance performance predictions and support critical experimental design.
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
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
SES builds innovative solutions in material discovery and advanced battery management, focusing on accelerating the global energy transition. Our primary customers range from energy companies to tech enterprises looking to enhance their battery technology with machine learning. What sets us apart is our commitment to integrating AI into battery R&D, streamlining the development process and improving efficiency.
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