Battery Modeling Scientist

SimLionics Pvt Ltd | India | 5+ years experience | MS/M.Tech required

Be part of India's premier battery intelligence team. At SimLionics, we're not just modeling batterieswe're revolutionizing how electric mobility and energy storage systems understand, predict, and optimize performance. Our work combines deep electrochemical expertise with cutting-edge Physics-Aware AI to tackle challenges that matter: extending EV range, preventing thermal events, and accelerating the clean energy transition.

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.

Pioneer hybrid modeling approachescombining 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

MS/M.Tech in Chemical, Electrical, or Mechanical Engineering, Materials Science, or related field

5+ years developing and validating battery models in research or industry settings

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

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

Work on technology that's shaping global electrification of mobility and energy storage sector

Collaborate with world-class scientists and engineers who've published 30+ patents and research papers

Direct impactsee your models deployed in production systems within months, not years

Continuous learning culture with access to the latest research and conferences

Competitive compensation and comprehensive benefits

Flexible work arrangements that respect work-life balance

If you're excited about pushing the boundaries of battery science and seeing your work drive real-world change, we want to hear from you.

• Send your resume and a brief note about your most exciting modeling project to:

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