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Internship Computational Material Science Jobs in Raleigh, NC

Wolfspeed

Manager of Research Science

Durham, NC · On-site

As a Manager of Research Science in Machine Learning, you will direct a research group to develop ... computational modeling of materials systems such as DFT and finite element model Multiphysics ...

Wolfspeed, Inc.

Manager of Research Science

Durham, NC · On-site

As a Manger of Research Science in Machine Learning you will direct the activities of a research ... Expertise in computational modeling of materials systems such as DFT and finite element model ...

Cree

Manager of Research Science

Durham, NC · On-site

As a Manger of Research Science in Machine Learning you will direct the activities of a research ... Expertise in computational modeling of materials systems such as DFT and finite element model ...

NCSU

Post-Award Specialist

Raleigh, NC

... Materials Science and Engineering About the Department The Department of Materials Science and ... computational materials. Wolfpack Perks and Benefits As a Pack member, you belong here, and can ...

Danaher

Software Engineer Internships

Durham, NC

... Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date

Danaher

Software Engineer Internships

Raleigh, NC

... Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date

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How much do internship computational material science jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for internship computational material science in Raleigh, NC is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.34 per hour, depending on experience, location, and employer.

What is an internship in computational material science?

An internship in computational material science is a temporary position, often for students or recent graduates, where participants work with experts to apply computer modeling and simulations to study materials at the atomic or molecular level. Interns typically use specialized software to predict material properties, analyze data, and support ongoing research projects. These internships provide hands-on experience in both materials science and computational techniques, helping to prepare individuals for careers or further study in the field.

What types of projects and collaborations can I expect during an Internship in Computational Material Science?

As an intern in Computational Material Science, you will typically work on projects involving the simulation and modeling of materials using computational tools and software. These projects often require close collaboration with other interns, research scientists, and sometimes experimentalists to validate your computational results. You may contribute to ongoing research, assist in code development, analyze data, and present findings to the team. This environment encourages skill development in programming, data analysis, and scientific communication, while also providing valuable exposure to multidisciplinary teamwork.

What are the key skills and qualifications needed to thrive as an Internship Computational Material Science, and why are they important?

To thrive as an intern in Computational Material Science, you generally need a strong foundation in materials science, physics, chemistry, and programming, often supported by coursework or experience in these areas. Familiarity with simulation software (such as VASP, LAMMPS, or Quantum ESPRESSO), coding languages like Python or MATLAB, and potentially basic knowledge of high-performance computing systems is typically required. Analytical thinking, attention to detail, and effective communication are valuable soft skills that help in interpreting results and collaborating with research teams. These skills and qualities are essential for conducting accurate simulations, solving complex research problems, and contributing meaningfully to scientific projects.
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Internship Computational Material Science jobs near you
Infographic showing various Internship Computational Material Science job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, and 27% Part Time. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $39,053 per year, or $18.8 per hour.

Materials Analysis Engineer - Computational and Modeling Focus

Vulcan Elements

Durham, NC

Full-time

Posted 8 days ago

Job description

About Vulcan Elements

Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, we serve critical industries such as defense, aerospace, and automotive powering a high-technology future. Vulcan Elements is building a team of ambitious professionals committed to Mission Focus, Technical Excellence and Transparency.

As a Materials Analysis Engineer – Computational and Modeling Focus, you will utilize modeling and computational tools to support the development and optimization of materials and processes for rare-earth permanent magnet manufacturing. You will routinely work as part of cross-functional teams to support R&D and manufacturing operations, applying simulation and analysis techniques to solve complex materials engineering challenges.


Responsibilities
  • Develop and execute computational models and simulations to support materials development and process optimization, including atomic simulations, phase field modeling, density functional theory (DFT), and finite element analysis (FEA).
  • Apply materials and process modeling techniques to evaluate and improve manufacturing processes for NdFeB permanent magnets.
  • Collaborate with cross-functional teams across R&D, manufacturing, and quality to translate modeling insights into actionable process improvements.
  • Perform and interpret results from materials analytical methods such as electron microscopy, metallography, and chemical analysis to validate and inform computational models.
  • Leverage machine learning tools and data-driven approaches for the analysis and exploration of material properties and process–property relationships.
  • Develop and maintain simulation workflows using tools such as ANSYS and other relevant computational packages.
  • Communicate findings through technical reports, presentations, and publications as appropriate.
  • Stay current with advances in computational materials science and identify opportunities to apply emerging methods to company objectives.

Responsibilities and tasks outlined are not exhaustive and may change as determined by the needs of the business

Qualifications
  • Bachelor's degree or higher in materials science, materials engineering, or metallurgy. Closely related fields may be considered for exceptional candidates.
  • Solid understanding of fundamental materials properties, behavior, diffusion, and phase transformations.
  • Demonstrated experience using one or more of the following for materials analysis or design simulations: atomic simulations, phase field modeling, density functional theory, or finite element analysis.

Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

Desired Skills
  • Hands-on experience with materials analytical methods such as electron microscopy, metallography, and chemical analysis.
  • Experience using machine learning tools for analysis and exploration of material properties.
  • Experience applying materials and process modeling in a manufacturing or industrial setting.
  • Familiarity with a variety of analyses and packages within ANSYS.
  • Experience performing density functional theory (DFT) calculations.