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About the role
<p><span style="text-decoration: underline;"><strong>Senior Battery Cell Modeling Scientist - Simulation</strong></span></p>
<p> </p>
<p><span style="text-decoration: underline;"><strong>Responsibilities</strong></span></p>
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<li>
<p>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</p>
</li>
<li>
<p>Design and advance experiments to obtain parameters/data required to build cell models</p>
</li>
<li>
<p>Work with cross-functional teams to develop, deploy, test, and maintain models</p>
</li>
<li>
<p>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</p>
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<p>Establish a standardized process for cell physical modeling to reduce the resources/time required for modeling</p>
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<li>Provide documentation related to model and algorithm development</li>
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<p>Work with the battery team to determine and achieve battery performance life goals</p>
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</ul>
<p> </p>
<p><span style="text-decoration: underline;"><strong>Qualifications</strong></span></p>
<ul>
<li>
<p>Master’s degree or above, more than 5 years of battery related research/work experience</p>
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<li>
<p>Basic knowledge of cell electrochemistry (P2D), thermal, mechanical modeling and simulation. Familiar with electrochemical principle, simulation parameter measurement method and corresponding equipment</p>
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<p>Familiar with various battery-related models/algorithms, and have experience in using cell model software (COMSOL, Ansys, PyBaMM, etc.)</p>
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<p>Experience in building data-driven models (statistical analysis, machine learning, AI)</p>
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<p>Proficient in code development tools, such as Python or Matlab</p>
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</ul>
<p> </p>
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