About the role
Battery AI/ML Engineer at SES in Shanghai, China. Posted January 16, 2023.
Battery AI/ML Engineer
Responsibilities
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Build a data-driven model of battery based on electrochemical knowledge and test data
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Develop battery state estimation algorithms, including but not limited to SOC, SOH, SOP
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Develop battery behavior prediction methods, including but not limited to residual life prediction and battery safety prediction
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Provide novel battery management system solutions to optimize battery performance, including but not limited to charging process optimization, discharge capacity optimization and cycle life optimization
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Work with a team to develop, deploy, test and maintain battery algorithms
- Write relevant technical documents
Qualifications
- Master's degree or above, machine learning, AI, and big data related education background
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More than one year battery related working experience, understand battery data
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Have a certain understanding of the traditional battery management system (BMS) algorithm model
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Practical experience in AI and big data battery algorithm
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Experience in battery physical model building (P2D model) and digital twin development is preferred
Prefer to apply yourself? Apply on SES’s site
Quick answers
Where is this job based?
Shanghai, China.
How do you apply?
Apply on SES’s site using the link on this page. With a free Jobmagic account you can see how well you fit first.
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