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Battery Materials Electrochemistry Expert

SES
Woburn, Massachusetts
Full Time
Posted November 26, 2025
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Job Description

A senior scientist role focused on experimental validation and research in advanced battery materials, particularly lithium-based systems, with an emphasis on electrolyte development, electrochemical testing, and integrating experimental data with AI-driven materials discovery.

Key Responsibilities

  • Design and execute experiments on advanced lithium battery systems, including solid-state and Li-ion chemistries.
  • Drive electrolyte research and development, focusing on additive optimization and SEI engineering.
  • Oversee the full battery development lifecycle from raw material chemistry to prototype validation.
  • Perform advanced electrochemical testing and characterization to assess safety and performance.
  • Generate structured, high-quality data from experiments for AI/ML model training.
  • Collaborate with AI/ML teams to integrate experimental data with computational models for materials discovery.

Requirements

  • Ph.D. in Materials Science, Chemical Engineering, Applied Physics, or a closely related field, or a background in Mechanical Aerospace Engineering with a strong materials focus
  • Deep, hands-on expertise in Lithium battery chemistry, including fundamental understanding of Li-ion and solid-state systems
  • Proficiency in advanced electrochemical testing and materials characterization techniques
  • Proven experience in electrolyte formulation, additive optimization, and SEI engineering
  • Experience managing the full battery development lifecycle, including raw material chemistry, electrode fabrication, electrochemical testing, and prototype validation
  • Ability to generate clean, structured data from experiments that meets the rigorous requirements for training AI/ML models
  • Experience bridging the gap between computational modeling and experimental validation, serving as a hybrid expert for material design iteration
  • Demonstrated experience working in a hybrid computational modeling and experimental validation capacity
  • Strong understanding or direct experience with AI/ML models applied to materials informatics, molecular property prediction, and multi-physics simulations

Benefits & Perks

highly competitive salary
comprehensive health coverage
attractive equity stock options program
opportunity to contribute to meaningful scientific projects with broad public impact
dynamic, collaborative, and innovative work environment
significant opportunities for professional growth and career development
access to state-of-the-art facilities and proprietary technologies

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