Hybrid Summer Intern — Computational Materials Science

General Motors; Warren (MI); Hybrid; USD 33,000 - 60,000; Full time

Benefits offered by this job

Relocation stipend

Hybrid work arrangement

Job summary

General Motors Research and Development invites an internship in the Mechanics, Materials, and Process Research Lab to advance computational materials science at continuum length scales for next-generation vehicle materials.

You will develop continuum-scale models, simulation workflows, and data-driven methods to connect material composition, microstructure, processing and performance, guiding experiments and accelerating material down-selection with GM teams.

Qualifications

• 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 programming and data analysis using Python, C/C++, Fortran, MATLAB, Julia, or similar languages.

Responsibilities

• Plan and execute collaborative research in computational materials science, with emphasis on continuum-scale materials behavior and materials discovery.
• Develop physics-based models for composition–process–structure–property relationships, including constitutive behavior, phase evolution, transport, damage, fracture, fatigue, thermal response, and multiphysics phenomena as appropriate.
• Build and apply continuum and mesoscale simulation methods such as finite-element, phase-field, crystal-plasticity, computational fluid dynamics, reaction–diffusion, cellular automata, or related approaches.
• Integrate thermodynamics, kinetics, mechanics, processing science, and materials data into predictive computational workflows.
• Use simulation, high-throughput computation, optimization, and data-driven methods to screen candidate materials, compositions, processing conditions, and architectures.
• Partner closely with experimental researchers to define informative experiments, interpret results, quantify uncertainty, and accelerate materials down-selection.
• Establish model verification, validation, calibration, uncertainty quantification, and sensitivity-analysis practices appropriate for research and engineering use.
• Connect computational materials insights to manufacturing processes and vehicle-relevant performance requirements.

Skills

Python

C/C++

Fortran

MATLAB

Julia

Data analysis

Scientific programming

Education

M.S. or Ph.D. in Materials Science/Engineering/Computational Science

Tools

Finite-element analysis

Phase-field

Crystal plasticity

Multiphysics simulation

Computational thermodynamics

Job description

General Motors Research and Development invites an internship in the Mechanics, Materials, and Process Research Lab to advance computational materials science at continuum length scales for next-generation vehicle materials.

You will develop continuum-scale models, simulation workflows, and data-driven methods to connect material composition, microstructure, processing and performance, guiding experiments and accelerating material down-selection with GM teams.