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Intern Computational Materials Science Jobs in Virginia

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

... materials discovery through the convergence of computational chemistry, machine learning, and agentic science. Qualifications : Required : • Ph.D. in Chemistry, Chemical Engineering, Materials ...

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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.

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

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

What are popular job titles related to Intern Computational Materials Science jobs in Virginia?

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

What job categories do people searching Intern Computational Materials Science jobs in Virginia look for?

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

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

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

Intern Computational Materials Science jobs near you

Postdoctoral Research Associate in Computational Materials Science - Department of Chemical Engineer

Hampton University Faculty

Hampton, VA • On-site

$64K/yr

Full-time

Posted 29 days ago

Job description

Required Qualifications
  • Ph.D. in Chemical Engineering, Materials Science and Engineering, Physics, Chemistry, Computational Materials Science, or a closely related discipline.
  • Demonstrated expertise in molecular dynamics simulations using LAMMPS.
  • Experience performing density functional theory calculations using VASP.
  • Strong background in atomistic modeling of crystalline materials, minerals, ceramics, metals, or solid-state materials.
  • Experience working in Linux/Unix computing environments and high-performance computing (HPC) clusters.
  • Knowledge of artificial intelligence (AI), machine learning (ML), or data-driven materials science. Experience applying AI/ML methods to computational chemistry, molecular simulations, or materials informatics is highly desirable.
  • Programming experience in Python, Bash, or similar scripting languages.
  • Excellent written and oral communication skills, with a strong publication record.
Position Details
The appointment is for one year and is renewable based on satisfactory performance and the availability of external research funding. Competitive salary and benefits are available in accordance with university policies.
Salary based on qualifications $64,000
Application Materials
Applicants should submit a single pdf to Dr. Zhang at liqun.zhang@hamptonu.edu. The PDF file should include:
  1. A cover letter describing research interests and relevant experience.
  2. A current curriculum vitae, including a list of publications.
  3. Contact information for three professional references.
  4. Up to three representative publications.

Review of applications will begin immediately and continue until the position is filled.

Apply