Sesai is seeking a Battery AI/ML Engineer in Shanghai to develop data-driven models and algorithms for battery management systems, requiring expertise in machine learning and battery technology
Job Summary
Build a data-driven model of battery based on electrochemical knowledge and test data.
Develop battery state estimation algorithms, including but not limited to SOC, SOH, SOP.
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.
Matching Summary
Match Score: 85
Sesai is seeking a Battery AI/ML Engineer in Shanghai to develop data-driven models and algorithms for battery management systems, requiring expertise in machine learning and battery technology.
Skills & Requirements
Must-have
data-driven battery model
state estimation algorithms
battery behavior prediction
battery management system solutions
deploy and maintain battery algorithms
Nice-to-have
electrochemical knowledge
novel battery management system solutions
battery physical model building
digital twin development
Key Requirements
Master's degree or above
Machine learning, AI, and big data related education
More than one year battery related working experience
Understanding of battery data
Understanding of traditional BMS algorithm model
Practical experience in AI and big data battery algorithm