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Internship Computational Material Science Jobs in Washington

Ion Storage Systems

Battery Scientist I or II

Beltsville, MD · On-site

$75K - $90K/yr

S. with 0-2 years of experience in industry, internships, or academic research; or M.S. in Chemistry, Chemical Engineering, Material Science and Engineering, or related field with laboratory-based ...

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Internship Computational Material Science information

What is an internship in computational material science?

An internship in computational material science is a temporary position, often for students or recent graduates, where participants work with experts to apply computer modeling and simulations to study materials at the atomic or molecular level. Interns typically use specialized software to predict material properties, analyze data, and support ongoing research projects. These internships provide hands-on experience in both materials science and computational techniques, helping to prepare individuals for careers or further study in the field.

What types of projects and collaborations can I expect during an internship in computational material science?

As an intern in Computational Material Science, you will typically work on projects involving the simulation and modeling of materials using computational tools and software. These projects often require close collaboration with other interns, research scientists, and sometimes experimentalists to validate your computational results. You may contribute to ongoing research, assist in code development, analyze data, and present findings to the team. This environment encourages skill development in programming, data analysis, and scientific communication, while also providing valuable exposure to multidisciplinary teamwork.

What are the key skills and qualifications needed to thrive as an intern in computational material science, and why are they important?

To thrive as an intern in Computational Material Science, you generally need a strong foundation in materials science, physics, chemistry, and programming, often supported by coursework or experience in these areas. Familiarity with simulation software (such as VASP, LAMMPS, or Quantum ESPRESSO), coding languages like Python or MATLAB, and potentially basic knowledge of high-performance computing systems is typically required. Analytical thinking, attention to detail, and effective communication are valuable soft skills that help in interpreting results and collaborating with research teams. These skills and qualities are essential for conducting accurate simulations, solving complex research problems, and contributing meaningfully to scientific projects.

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

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

What cities in Washington are hiring for Internship Computational Material Science jobs?

Cities in Washington with the most Internship Computational Material Science job openings:

Internship Computational Material Science jobs near you
Infographic showing various Internship Computational Material Science job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Postdoctoral Fellow- Novel Superconductors

Carnegie Science

Washington, DC • On-site

$55K - $75K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Description The Carnegie Institution for Science seeks applications for an experimental postdoctoral fellow working on the forefront of conventional superconductivity research. The project is focused on the synthesis and characterization of new light-element superconductors including hydrides, borides & carbides with the goal of producing conventional, high-Tc materials that remain stable without extreme pressures. The position will involve the synthesis of new materials using conventional, non-equilibrium and high-pressure methods, and subsequent structure/properties characterization. The successful candidate will work in a dynamic environment with an expert team comprised of experimental and computational physicists, chemists, and materials scientists. Please refer questions to tstrobel@carnegiescience.edu Qualifications Minimum qualifications: A PhD in physics, chemistry, materials science or a related field is the requirement for this position. Desired qualifications: Expertise in solid-state synthesis, characterization of magnetic & electrical transport properties (e.g., PPMS), powder/single-crystal diffraction, Raman/infrared spectroscopies, and characterization/analysis of superconductor properties. Understanding of high-pressure techniques including laser-heated diamond anvil cells and/or large-volume press techniques is desirable. The successful candidate is expected to be able to work in both independent and collaborative group environments. Application Instructions The initial appointment is for one year with the possibility for an additional year pending progress and availability of funds. The position is available starting Jan. 2026 and will remain open until filled. Interested parties should submit a cover letter, curriculum vitae (including publications), statement of research interests, and contact information for a minimum of two references. Only applications submitted through Interfolio will be reviewed.

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