layiq

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worthy; deserving; fitting; suitable.

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Fall 2026 PhD Battery & Sustainability Intern - Physics-Based Battery Modeling at General Motors | LAYIQ

Develop and validate physics-based methods to battery models across a range of chemistries, cell designs, and formats
Develop and implement finite-element method to complex battery electrode microstructures and process x-ray tomographic understanding of electrode materials
Build coupled electrochemical and mechanical models to capture electrochemical and mechanical responses, mass transport, and heat generation in battery electrodes
Investigate degradation mechanisms (e.g., volume expansion, particle fracture) through Multiphysics mechanistic modeling
Apply modeling to understand and predict performance, lifetime, and safety behavior under real-world operating conditions
Translate model outputs into actionable guidance for cell design, materials selection, and system-level decisions
Integrate models into multi-scale and system-level simulation frameworks and develop simulation toolkits
Lead and contribute to deep technical problem solving, grounded in physical intuition and rigorous analysis
Influence technical direction through scientifically grounded arguments and modeling insight
Publish and present your work through peer-reviewed journals, conferences, and internal reviews
Contribute to intellectual property and patents in battery modeling and design
Your Skills & Abilities (Required Qualifications)
Ph.D. student (expected graduation by 2028) in Physics, Mathematics, Chemical Engineering, Mechanical Engineering, Computational Materials Science or a closely related field with a focus on electrochemistry or battery modeling
Experience developing physics-based finite-element battery modeling and electrode microstructure simulation for battery applications
Strong foundation in electrochemistry, solid mechanics, thermodynamics, and transport phenomena
Experience developing coupled Multiphysics models (electrochemical, thermal, mechanical) across scales
Strong C++ and Python proficiency (both required) for scientific computing, modeling, and data analysis
Strong analytical and quantitative problem-solving skills grounded in physical principles
Demonstrated research track record including peer-reviewed publications and technical presentations
Ability to clearly communicate complex technical findings to both specialized and cross-functional audiences
Proven ability to influence technical direction through expertise and analysis
Commitment to advancing the state of the art in battery science and modeling

Fall 2026 PhD Battery & Sustainability Intern - Physics-Based Battery Modeling

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