- Develop multiphysics-based model to simulate the behaviors of the lithium metal batteries under various usage conditions
- Design experiment to obtain parameters required to fit and validate the physics-based models
- Use the developed battery model to provide insights about degradation and failure mechanisms, as well as performance limiting factors
- Develop physics-based models and machine learning algorithms for battery performance diagnostics (SOC, SOH) and prognostics (RUL)
- Work with the battery management system team to implement the developed models/algorithms
- MS or PhD degree in EE, Physics, Chemistry, Materials Science and Engineering
- Fundamental knowledge of electrochemistry, mechanics, and heat transfer. Experience in lithium metal batteries highly preferred
- 2+ years' experience of creating Multiphysics-based model using commercial software (COMSOL, etc.), open-source code, or self-developed code (python preferred)
- Experienced in design of experiment for the parameterization of physics-based battery model
- Experienced in physics-based model and machine learning algorithm development applied in battery management system (i.e., SOC, SOH, RUL estimation)
- Strong communication skills and a good team player.
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Senior Battery Modeling Scientist - Woburn, United States - SES
Description
Senior Battery Modeling ScientistPosition Scope
SES has an opening for a Senior Battery Modeling Scientist to develop physics-based model for LMBs, design experiment for model parameterization and validation, and develop algorithms for BMS.
The successful candidate is committed and dedicated, responsible, focused, detail-oriented, able to adjust in a fast-paced working environment, collaborate well with other staff members with a shared vision, and demonstrate excellent organizational communication skills.
This position will be based in our Woburn, MA location.Responsibilities