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Intern Computational Materials Science Jobs in Washington

Dev Technology

AI/ML Intern (Summer 2027)

Reston, VA · Hybrid

$21 - $30/hr

Rising juniors and seniors working toward a bachelor's degree in Computational Science, Artificial ... Intern FAQ: Our estimated salary range for this position is $21-$30/hr. This presented salary range ...

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Intern Computational Materials Science information

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 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.

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 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 are the most commonly searched types of Computational Materials Science jobs in Washington?

The most popular types of Computational Materials Science jobs in Washington are:

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For Intern Computational Materials Science jobs in Washington, the most frequently searched job titles are:

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The top searched job categories for Intern Computational Materials Science jobs in Washington are:

What cities in Washington are hiring for Intern Computational Materials Science jobs?

Cities in Washington with the most Intern Computational Materials Science job openings:

Intern Computational Materials Science jobs near you

Technical Intern, Building Technology Summer 2027

Simpson Gumpertz & Heger

Washington, DC • On-site

$17 - $22.75/hr

Temporary, Internship

Posted 4 days ago

Job description

We want someone passionate about engineering who wants to gain invaluable experience.

Simpson Gumpertz & Heger (SGH) is seeking current students for a 2027 Summer Internship in our Washington, D.C. office.

As an Intern, you will work side-by-side with industry-leading experts in the office and the field to gain hands-on experience while applying classroom knowledge to real-world challenges.

What You'll Be Doing:

  • Assist with construction monitoring, field investigations, condition assessments, construction observations, as well as project drafting, structural design and analysis, and site inspections.

  • Analyze materials, support our petrography staff, develop test protocols, design and construct testing apparatus, perform tests, and analyze test data.

  • Collaborate with SGH engineers to perform reconnaissance on existing structures, conduct field tests, or monitor construction in progress.

  • Organize field data and assist with research to facilitate analysis, problem solving, and repair design.

  • Perform analysis under the guidance of licensed professionals using a combination of hand calculations and analysis software.

  • Assist with the preparation of client deliverables, including construction documents, specifications, and written reports.

  • Work may include travel and working from heights.

What You'll Need:

  • Students should have an interest in civil and or structural engineering, materials science, architecture, and architectural engineering

  • Maintain high grades in their studies, interested in learning through hands-on work experience in a consulting engineering environment.

  • Enthusiastic about the challenges associated with the development of sophisticated engineering work products in an atmosphere of high professionalism. 

  • Successful candidates must have strong communication abilities.

Apply