Computational Materials Intern: Hybrid Research & Discovery

General Motors LLC; United States; Hybrid; USD 30,000 - 47,000; Full time

Job summary

General Motors LLC is seeking an intern in the Mechanics, Materials, and Process Research Lab to advance computational materials science at continuum length scales. You will develop and apply models linking composition, processing, and properties to guide materials discovery and manufacturing solutions.

The role involves collaboration across GM engineers and universities, data-driven methods, and publishing technical results.

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 related field.
• Strong foundation in thermodynamics, kinetics, mechanics, transport, numerical methods, and structure–property relationships.
• Experience with continuum-scale models and multidisciplinary collaboration.
• Proficiency in Python, C/C++, MATLAB, or similar languages.
• Experience with HPC, version-controlled software, and reproducible workflows.

Responsibilities

• Plan and execute collaborative research in computational materials science focusing on continuum-scale behavior and materials discovery.
• Develop physics-based models for composition–process–structure–property relationships.
• Build and apply continuum and mesoscale simulation methods (finite-element, phase-field, crystal-plasticity, CFD, etc.).
• Integrate thermodynamics, kinetics, mechanics, processing, and data into predictive workflows.
• Collaborate with experimental researchers to define informative experiments and interpret results.

Skills

Python

C/C++

MATLAB

Data analysis

Git

High-performance computing

Communication

Education

M.S. or Ph.D. candidate in Materials Science & Eng/Related

Tools

Git

Job description

General Motors LLC is seeking an intern in the Mechanics, Materials, and Process Research Lab to advance computational materials science at continuum length scales. You will develop and apply models linking composition, processing, and properties to guide materials discovery and manufacturing solutions.

The role involves collaboration across GM engineers and universities, data-driven methods, and publishing technical results.