2027 Summer Intern – Research and Development – Computational Materials Science, Continuum Scales and Materials Discovery

General Motors

. Advance computational materials science at continuum length scales for next-generation vehicle and manufacturing applications .

Posted 10/12/2026internshipWarren • Michigan • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in computational materials science, including the development of continuum-scale models and simulation workflows. Proficient in materials thermodynamics, mechanics, and data-driven methods to connect material properties with manufacturing processes.

Highest-signal resume keywords

Continuum-Scale ModelingMaterials ThermodynamicsFinite-Element AnalysisScientific ProgrammingMultidisciplinary Research Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Continuum-Scale ModelsNumerical MethodsPhase-Field ModelingCrystal PlasticityConstitutive ModelingDamage and Fracture AnalysisMultiphysics SimulationPython ProgrammingC/C++ ProgrammingMATLAB Programming

Soft Skills

Strong Communication SkillsMentoringCollaboration

Tools & Technologies

High-Performance ComputingVersion-Controlled SoftwareReproducible Computational Workflows

Industry Keywords

Materials ScienceMechanical EngineeringComputational ScienceApplied MathematicsPhysicsChemistryExport Control Restrictions

Tech Stack

Tools & technologies

PythonC++

About the role

Key responsibilities & impact

Advance computational materials science at continuum length scales for next-generation vehicle and manufacturing applications
Propose research directions, establish technical research plans, and lead collaborative studies
Connect material composition, microstructure, processing, performance, and engineering requirements
Develop and apply continuum-scale models, simulation workflows, and data-driven methods
Guide experimental research and enable efficient materials down-selection
Translate computational discoveries into practical materials and manufacturing solutions
Plan and execute collaborative research in computational materials science
Develop physics-based composition–process–structure–property models covering constitutive behavior, phase evolution, transport, damage, fracture, fatigue, thermal response, and multiphysics phenomena
Build and apply continuum and mesoscale simulation methods
Integrate thermodynamics, kinetics, mechanics, processing science, and materials data into predictive workflows
Use simulation, high-throughput computation, optimization, and data-driven methods to screen materials, compositions, processing conditions, and architectures
Partner with experimental researchers to define experiments, interpret results, quantify uncertainty, and accelerate materials down-selection
Establish verification, validation, calibration, uncertainty quantification, and sensitivity-analysis practices
Connect computational materials insights to manufacturing processes and vehicle-relevant performance requirements
Drive collaborations with GM engineering teams, universities, national laboratories, software developers, and research partners
Prepare technical reports, presentations, publications, software documentation, and invention disclosures
Generate intellectual property
Assist and mentor other employees in accomplishing project and research goals

Requirements

What you’ll need

Pursuit of an advanced degree (M.S. or Ph.D.) in Materials Science and Engineering, Mechanical Engineering, Computational Science, Applied Mathematics, Physics, Chemistry, or a closely related field
Must be a current student
Strong foundation in materials thermodynamics, kinetics, mechanics, transport, numerical methods, and structure–property relationships
Experience developing or applying continuum-scale models to materials, manufacturing processes, or engineering systems
Experience with finite-element analysis, phase-field modeling, crystal plasticity, constitutive modeling, damage and fracture, multiphysics simulation, reaction–diffusion, or process simulation
Experience connecting material chemistry, microstructure, processing history, and performance through computational models
Proficiency in scientific programming and data analysis using Python, C/C++, Fortran, MATLAB, Julia, or similar languages
Experience with numerical algorithms, high-performance computing, version-controlled software, and reproducible computational workflows
Ability to formulate research questions, translate physical assumptions into models, and communicate model limitations clearly
Experience working in multidisciplinary research teams
Strong written and verbal communication skills to work effectively with GM internal and external collaborators
Able to work fulltime, 40 hours per week during the summer months
Must be a U.S. Person: U.S. citizen, U.S. permanent resident, asylee, or refugee
Must not require GM immigration-related sponsorship now or in the future
Ph.D. strongly preferred
Position is subject to export control restrictions

Benefits

Comp & perks

One-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program to help facilitate relocation benefits
GM benefits and well-being support through Total Rewards resources