2027 Summer Intern - Research and Development - Computational Materials Science: Continuum Scales and Materials Discovery
Core
Develop and apply continuum-scale models, simulation workflows, and data-driven methods to accelerate the discovery and design of materials for next-generation vehicles and manufacturing.
Role type
Summer Research Intern, Computational Materials Science
Builds
Predictive computational workflows for materials behavior, down-selection, and manufacturing solutions
Domain
Automotive manufacturing, Computational Materials Science, Continuum Mechanics
Deliverable
production ML models
Required skills
continuum-scale modeling, finite-element analysis, phase-field modeling, crystal plasticity, multiphysics simulation, scientific programming (Python/C++/Fortran/MATLAB), high-performance computing, numerical algorithms, data analysis
Preferred skills
Integrated Computational Materials Engineering (ICME), materials discovery, high-throughput screening, Bayesian methods, scientific machine learning, uncertainty quantification, digital twins, GPU acceleration, open-source software development
Responsibilities
Develop physics-based models for composition–process–structure–property relationships; Build and apply continuum and mesoscale simulation methods; Integrate thermodynamics, kinetics, and materials data into predictive workflows; Use high-throughput computation to screen candidate materials; Partner with experimental researchers to define and interpret experiments; Establish model verification, validation, and uncertainty quantification practices; Connect computational insights to manufacturing processes and vehicle performance; Drive internal and external collaborations; Prepare technical reports, publications, and invention disclosures; Assist and mentor other employees
Seniority
Intern, Research