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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 June 2026, with employment types broken down into 19% Internship, 33% Full Time, 38% Part Time, and 10% Temporary. Highlights an 95% In-person, and 5% Remote job distribution.
RESEARCH ENGINEER - SR. RESEARCH ENGINEER - Computational Materials Integrity

RESEARCH ENGINEER - SR. RESEARCH ENGINEER - Computational Materials Integrity

Southwest Research Institute - Fulltime

San Antonio, TX • On-site

$86K - $175K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Southwest Research Institute rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

6th of 57 rated research

Job description

Who We Are: We develop and apply advanced computational methods to assess the performance of a variety of engineering materials that are used in a wide range of systems with a particular focus on estimating the life and reliability of high-consequence engineering applications. We seek candidates skilled in analytical and numerical methods that support software development for fatigue crack growth and fracture of metallic materials under sustained and cyclic loading. Most relevant technical areas include damage tolerance, computational mechanics, and computational material science.

Objectives of this Role: Join our team to perform fundamental and applied research through the development of advanced fatigue crack growth for material and structural integrity assessments. Help manage our established software codebase and provide guidance on the technical solutions to solve problems related to practical fatigue crack growth, fracture, and structural integrity assessments. Work within a large team and a software operations framework to write integrate, compile, text and debug source code to support long-term, commercial software programs.

Apply principles in advanced continuum mechanics, numerical methods, materials science, and applied mathematics to solve unique problems using the modern Fortran programming language. Build and apply skills to support contract research programs, develop new technology areas, and interact with government and commercial clients. Daily and Monthly Responsibilities: Provide technical leadership toward the ongoing development and enhancement of fatigue crack growth software programs: NASGRO® and DARWIN®.

Coordinate accuracy, precision, and consistency test campaigns of predictions implemented within high-criticality commercial software. Drive the development of new practical methods to perform damage tolerance assessments. Champion innovations focused on reducing memory footprint, optimizing computational efficiency, and streamlining the analysis of large datasets.

Oversee the resolution of user-reported issues by identifying root causes and implement fixes in a timely manner. Interact with a larger development team to coordinate issue resolution within a large, interconnected, and legacy codebase. Collaborate with clients, stakeholders, and development teams to align the software’s documentation, usage, and evolution with industry demands.

Lead reports and papers on new technical solutions. Lead tasks and projects to completion, ensuring they are delivered within scope, budget, and schedule constraints. Drive improvement initiatives to optimize software development and execution.

Requirements: Requires a Masters or a PhD in Mechanical Engineering, Materials Science, Structural Engineering, Computational Mechanics, Theoretical and Applied Mechanics, Geomechanics, or similar engineering degree. 1 year related work experience required with a Masters, 0 years required with a PhD. 0-5 years: Experience and/or training in fracture mechanics, fatigue crack growth assessment, continuum mechanics, materials science, applied mechanics, applied mathematics, and mechanical behavior of engineering metals.

0-5 years: Experience and/or training in software development processes for scientific computing, including version control, optimization, software verification, relevant programming languages, and programming assisted by ML/AI tools. 0-5 years: Experience in stress-intensity factor solutions, weight function methods, fatigue crack growth algorithms, time-dependent crack growth, small-crack growth mechanisms, threshold, shakedown, rainflow, environmental fatigue, and multi-point computational fracture mechanics. 0-5 years: Experience in customer issue resolution, supporting for legacy code and application programming interfaces, and using ML/AI tools to streamline software development, sustainment, documentation, and verification.

A valid/clear driver's license is required. Salary Range: $86,278 - $175,469

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