Fall 2026 PhD Battery & Sustainability Intern - Physics-Based Battery Modeling
Core
Develop and validate first-principles, physics-based battery models to predict electrochemical performance, degradation, and cell design across scales.
Role type
PhD Research Intern (Physics-Based Battery Modeling)
Builds
Physics-based models for battery electrodes and systems
Domain
Automotive / Electrochemistry / Multiphysics Simulation
Deliverable
production ML models | product features
Required skills
Physics-based finite-element modeling, Electrochemistry, Solid mechanics, Thermodynamics, Transport phenomena, C++, Python, Multiphysics modeling, High-performance computing
Preferred skills
Battery electrode microstructure modeling, Open-source tool development, Continuum-scale modeling frameworks, AI and Data-driven predictive modeling
Technologies
Finite-element method, X-ray tomography, FIB-SEM, P2D/DFN models
Responsibilities
Develop and implement finite-element methods for complex electrode microstructures, Build coupled electrochemical and mechanical models, Investigate degradation mechanisms via mechanistic modeling, Integrate models into multi-scale simulation frameworks, Publish and present original research, Translate model outputs into actionable design guidance
Seniority
PhD Student (Research)