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Intern Computational Materials Science Jobs (NOW HIRING)

Novelis

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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Intern Computational Materials Science information

What is the difference between Intern Computational Materials Science vs Intern Materials Engineering?

AspectIntern Computational Materials ScienceIntern Materials Engineering
Required CredentialsUndergraduate or graduate in materials science, physics, or related fields; basic programming skillsUndergraduate or graduate in materials engineering, mechanical engineering, or related fields; foundational technical knowledge
Work EnvironmentResearch labs, computational modeling, data analysisDesign, testing, and development in labs or manufacturing settings
Industry UsageResearch institutions, tech companies, aerospace, academiaManufacturing firms, product development, construction

Intern Computational Materials Science focuses on computational modeling and simulations of materials properties, while Intern Materials Engineering emphasizes practical design, testing, and application of materials. Both roles require a background in materials-related fields but differ in their core activities and work environments.

What does an intern in computational materials science do?

An Intern in Computational Materials Science assists in research and development by applying computational techniques to study and predict the properties and behaviors of materials. Typical tasks include running simulations, analyzing data, and working with software tools to model materials at the atomic or molecular level. Interns may collaborate with researchers to design experiments, interpret results, and contribute to scientific publications or reports. This role provides hands-on experience in both computational methods and materials science, helping to bridge theory and practical application.

What are the key skills and qualifications needed to thrive as an intern in computational materials science, and why are they important?

To thrive as an Intern in Computational Materials Science, you need a solid background in materials science, physics, or engineering, along with coursework in computational modeling and data analysis. Familiarity with programming languages like Python or MATLAB, experience with simulation software (such as VASP or LAMMPS), and knowledge of high-performance computing are typically required. Strong analytical thinking, attention to detail, and effective teamwork are important soft skills for success in collaborative research environments. These skills enable interns to contribute meaningfully to research projects, analyze complex materials data, and communicate findings clearly within multidisciplinary teams.

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

As an Intern in Computational Materials Science, you can expect to engage in projects involving simulations of material properties, data analysis from computational experiments, and the development of models to predict material behavior. You may collaborate with researchers and senior scientists to support ongoing investigations or help optimize simulation workflows. These projects often require proficiency in programming languages such as Python or MATLAB and may involve the use of specialized software like VASP or LAMMPS. The experience provides a hands-on understanding of how computational methods contribute to advancing materials research and often includes opportunities to present your findings to the team.
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Intern Computational Materials Science jobs near you
Infographic showing various Intern Computational Materials Science job openings in the United States as of August 2026, with employment types broken down into 23% Internship, 38% Full Time, 31% Part Time, and 8% Temporary. Highlights an 69% In-person, 8% Hybrid, and 23% Remote job distribution.

Modeling Engineer (Finite Element Analysis)

Next Gen Alloys

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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