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Technical Product Manager

Woburn, MA · On-site +1

$200K - $225K/yr

This role requires deep literacy in computational materials science and AI4Science to coordinate strategy across our research, engineering, and materials teams. As the Technical Product Manager, you ...

Foundation Alloy

Senior Material Scientist

Cambridge, MA · On-site

$50K - $180K/yr

Expertise in one or more of these technical areas: powder metallurgy, sintering, alloy design, computational materials science, and/or relevant metallurgical characterization methods. Culture We do ...

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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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Infographic showing various Intern Computational Materials Science job openings in the United States as of June 2026, with employment types broken down into 25% Full Time, 31% Part Time, 11% Temporary, 29% Contract, and 4% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.
Research Associate in Materials Science and Engineering

Research Associate in Materials Science and Engineering

University of Virginia

Charlottesville, VA • On-site

$47K - $90K/yr

Full-time

Posted 18 days ago

University Of Virginia rating

7.8

Company rating: 7.8 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

197th of 544 rated colleges and universities

Job description

The Ke Research Group in the Department of Materials Science and Engineering at the University of Virginia is seeking applicants for a Postdoctoral Research Associate position in computational materials science and theoretical condensed matter physics, with a focus on strongly correlated materials, especially rare-earth systems.
The successful candidate will work on fundamental research projects in rare-earth magnetic materials, including permanent magnets and quantum materials, with emphasis on analytical modeling, first-principles electronic-structure methods, rare-earth 4f physics, crystal-field effects, high-throughput materials discovery, and machine-learning-assisted materials design.
RESPONSIBILITIES:
  • Develop theoretical methods and computational approaches for strongly correlated rare-earth materials
  • Perform and analyze ab initio calculations for strongly correlated systems
  • Develop automated workflows for materials screening and property prediction
  • Collaborate with experimental and theoretical partners across groups and institutions to interpret results and guide materials discovery
  • Prepare manuscripts, present research results, and contribute to project reports and proposals
  • Mentor graduate and undergraduate students as appropriate

REQUIRED QUALIFICATIONS:
  • Ph.D. in physics, materials science, chemistry, or a related field by the start date
  • Research experience in electronic-structure theory or computational condensed matter physics, demonstrated by first-author publications

PREFERRED QUALIFICATIONS:
Candidates with experience developing or implementing computational methods, rather than only running standard DFT calculations, are especially encouraged to apply. Experience in one or more of the following areas is desirable:
  • Strongly correlated electron systems
  • Rare-earth and 4f-electron physics
  • Magnetism, magnetic anisotropy, and spin-orbit coupling
  • High-throughput computational workflows
  • Machine learning for materials discovery
  • Development or implementation of novel electronic-structure methods
  • Strong programming skills and experience with HPC environments
  • Strong written and oral communication skills

APPLICATION PROCEDURE:
Apply online at https://jobs.virginia.edu/us and search for R0083822. Attach the following documents: a cover letter, a curriculum vitae, and contact information for three references. Please note that multiple documents can be uploaded in the box.
APPLICATION DEADLINE:
Review of applications will begin on June 13, 2026, but the position will remain open until filled. The University will perform background checks on all new hires prior to employment.
Estimated salary range is $47,500 - $90,000, commensurate with experience.
This is a one-year appointment, and the appointment may be renewed contingent upon available funding and satisfactory performance.
For questions about the position, please contact Liqin Ke, Associate Professor, at uvn6ns@virginia.edu .
For questions regarding the application, please contact Rich Haverstrom, Academic Recruiter, at rkh6j@virginia.edu .
A competitive salary and benefits package is offered at University of Virginia. For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .
Job Profile
J0267 - Research Associate - 12 Month
Career Stream and Level
No Career Stream-No Level
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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