Sr role Battery Modeling Scientist
3 hours ago
Join a high-impact team where your work directly shapes the future of battery technology. We're seeking a scientist who thrives at the intersection of physics and AIsomeone who can transform complex electrochemical phenomena into predictive models that power real-world applications. Your insights will influence products deployed in electric vehicles and grid-scale storage systems across the globe.
What You Will Do
- Pioneer hybrid modeling approaches—combining equivalent circuit models, porous electrode theory, and Physics-Aware AI to achieve unprecedented accuracy
- Architect thermal management solutions that prevent failures before they happen
- Design state estimation algorithms (SOC/SOH/SOP) that outperform industry benchmarks
- Build predictive degradation models that extend battery life and reduce warranty costs
- Transform research breakthroughs into production-ready solutions alongside our engineering team
- Present findings to technical and business stakeholders, driving strategic decisions
What You Bring Education & Experience
MS/M.Tech in Chemical, Electrical, or Mechanical Engineering, Materials Science, or related field
10+ years developing and validating battery models in research or industry settings
Technical Expertise
- Expert-level Python/MATLAB programming for scientific computing
- Hands-on experience with equivalent circuit and porous electrode modeling
- Proven track record applying Physics-Aware AI/ML techniques to battery systems
- Deep understanding of thermal modeling and management strategies
- Experience with battery testing protocols and experimental validation
Bonus Points
- PhD focused on electrochemical modeling or battery systems
- Publications in leading journals (Journal of Power Sources, Journal of The Electrochemical Society, etc.)
- Multi-chemistry expertise (LFP, NMC, NCA, solid-state)
- Experience with COMSOL Multiphysics or similar FEA tools
- Track record of transitioning research to commercial products
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