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Internship 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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Internship Computational Materials Science information

What is an internship in computational materials science?

An internship in computational materials science is a temporary position, usually for students or recent graduates, where you gain hands-on experience using computer simulations and modeling to study and design materials. Interns typically work on research projects involving software tools to predict material properties, analyze data, or develop new materials. This experience provides valuable skills in programming, data analysis, and scientific research, which are essential for a career in materials science or related fields.

What is the difference between Internship Computational Materials Science vs Computational Materials Scientist?

AspectInternship Computational Materials ScienceComputational Materials Scientist
CredentialsEnrolled in or recent graduate of relevant degree programsAdvanced degree (Master's or Ph.D.) in materials science, physics, or related fields
Work EnvironmentAcademic or research labs, internships at industry companiesResearch and development teams in industry or academia
ResponsibilitiesAssisting with computational modeling, data analysis, learning industry toolsLeading projects, developing models, publishing research

Internship Computational Materials Science positions are entry-level, focused on learning and supporting ongoing projects, while Computational Materials Scientists are experienced professionals responsible for independent research and development in the field.

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

As a Computational Materials Science intern, you can expect to be involved in projects such as simulating material properties, analyzing large datasets from experiments, or developing and testing computational models. Interns often assist with software coding, data visualization, and running simulations using tools like Density Functional Theory (DFT) or molecular dynamics packages. Collaboration with other scientists and engineers is common, and you may contribute to research publications or presentations, providing valuable hands-on experience in both individual and team-based research settings.

What are the key skills and qualifications needed to thrive in a computational materials science internship?

To thrive as an intern in Computational Materials Science, you typically need a solid background in materials science, physics, or related fields, along with programming skills in languages such as Python or C++. Familiarity with computational tools like Density Functional Theory (DFT) software (e.g., VASP, Quantum ESPRESSO) and data analysis platforms is highly beneficial. Strong analytical thinking, attention to detail, and effective communication set candidates apart in collaborative research environments. These competencies enable interns to contribute meaningfully to simulations, data interpretation, and innovative materials research.

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 Internship Computational Materials Science jobs in Virginia?

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

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

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

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

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

Internship 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 27 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