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Internship Computational Materials Science Jobs (NOW HIRING)

Novelis

Lead Modeling Scientist

Kennesaw, GA

D.) in Materials Science, Mechanical Engineering, or a related field, with more than ten years of experience in computational modeling. * Expertise in metallurgy and materials science, as well as ...

Novelis Global R&T

Lead Modeling Scientist

Kennesaw, GA · On-site

D.) in Materials Science, Mechanical Engineering, or a related field, with more than ten years of experience in computational modeling. * Expertise in metallurgy and materials science, as well as ...

Novelis Global R&T

Lead Modeling Scientist

Kennesaw, GA · On-site

D.) in Materials Science, Mechanical Engineering, or a related field, with more than ten years of experience in computational modeling. * Expertise in metallurgy and materials science, as well as ...

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

As of Aug 14, 2026, the average hourly pay for internship computational materials science in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is an internship in computational materials science?

An internship in computational materials science is a temporary position, usually for students or recent graduates, where you gain hands-on experience using computer simulations and modeling to study and design materials. Interns typically work on research projects involving software tools to predict material properties, analyze data, or develop new materials. This experience provides valuable skills in programming, data analysis, and scientific research, which are essential for a career in materials science or related fields.

What is the difference between Internship Computational Materials Science vs Computational Materials Scientist?

AspectInternship Computational Materials ScienceComputational Materials Scientist
CredentialsEnrolled in or recent graduate of relevant degree programsAdvanced degree (Master's or Ph.D.) in materials science, physics, or related fields
Work EnvironmentAcademic or research labs, internships at industry companiesResearch and development teams in industry or academia
ResponsibilitiesAssisting with computational modeling, data analysis, learning industry toolsLeading projects, developing models, publishing research

Internship Computational Materials Science positions are entry-level, focused on learning and supporting ongoing projects, while Computational Materials Scientists are experienced professionals responsible for independent research and development in the field.

What types of projects can an intern expect to work on in a computational materials science internship?

As a Computational Materials Science intern, you can expect to be involved in projects such as simulating material properties, analyzing large datasets from experiments, or developing and testing computational models. Interns often assist with software coding, data visualization, and running simulations using tools like Density Functional Theory (DFT) or molecular dynamics packages. Collaboration with other scientists and engineers is common, and you may contribute to research publications or presentations, providing valuable hands-on experience in both individual and team-based research settings.

What are the key skills and qualifications needed to thrive in a computational materials science internship?

To thrive as an intern in Computational Materials Science, you typically need a solid background in materials science, physics, or related fields, along with programming skills in languages such as Python or C++. Familiarity with computational tools like Density Functional Theory (DFT) software (e.g., VASP, Quantum ESPRESSO) and data analysis platforms is highly beneficial. Strong analytical thinking, attention to detail, and effective communication set candidates apart in collaborative research environments. These competencies enable interns to contribute meaningfully to simulations, data interpretation, and innovative materials research.
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Internship Computational Materials Science jobs near you
Infographic showing various Internship Computational Materials Science job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Modeling Engineer (Finite Element Analysis)

Allegheny Technologies Incorporated

Monroe, NC

Full-time

Re-posted 2 days ago

Job description

Proven to Perform.
From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.

We are currently looking to hire a Modeling Engineer - FEA to support ATI's Technical Research and Development Teams. As a Modeling Engineer you will contribute to and expand ATI Specialty Material's capabilities in computational materials science by developing and utilizing process models to address issues relating to the manufacture of specialty alloys and make predictions of relevant properties at various stages through the manufacturing process. This is an onsite position based at our Monroe, NC facility.

A successful Modeling Engineer is also a thought-leader, and problem solver who enthusiastically tackle challenges and achieves results while dealing with ambiguity and change that accompanies working in a research environment. To add to your knowledge, you will also need to periodically visit relevant manufacturing facilities in order to gain insight into the issues to be addressed.

Responsibilities

  • Utilize process simulation to support manufacturing process improvements that result in better product quality and lower manufacturing costs.
  • Conduct testing and characterization in order to generate data necessary for model development, validation.
  • Communicate results to management, colleagues, and customers in the form of written reports and oral presentations.
  • Propose, defend and execute project concepts for new products, cost savings, quality improvement, and process innovation. Collaborate with technology and research colleagues across ATI.
  • Maintain industry expertise and current knowledge of developments in process modeling by experimentation, attending meetings and conferences conducted by trade associations, by reviewing trade and technical literature and by periodic visit to customer, supplier, and other ATI manufacturing locations.

Basic Qualifications

  • M.S. or Ph.D. degree in Mechanical/Materials Science Engineering with experience in one of the following areas: metallurgical process modeling, integrated computational materials engineering, finite element analysis, computational fluid dynamics and/or numerical methods to solve engineering problems.
  • At least 2 years of relevant modeling work experience.
  • Experience in modeling fluid flow and or solidification of metals (or) Experience in modeling forging of metals, grain size prediction.
  • Experience in one or more relevant commercial FEA programs.

Preferred Qualifications (in addition to Basic Qualifications)

  • 3+ years of experience with one or more of the following: Ni-base superalloys, titanium alloys, specialty steels, or metal powders.
  • Experienced in DEFORM software suite.
  • Experienced in C++/FORTRAN/Python programming. Experience in developing User subroutines experience a big plus.
  • Experienced in using Machine learning for solving materials science problems.
  • Experience in thermodynamic packages.
We thrive when the expectations are great, and the barriers are high. We're solving the world's most difficult challenges through materials science. Our advanced, integrated process technologies and proven performers give us a tremendous competitive advantage. When customers systems need to fly higher, dig deeper, stand stronger, and last longer -- anywhere on, above or below the earth -- ATI is proven to perform.


*It is ATI's policy to not provide immigration sponsorship for any of the company's positions.
ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.

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