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Internship Computational Material Science Jobs in Washington

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$90 - $120/hr

In this role, you will provide computational, data science, and bioinformatics support for Office ... Ensure all published materials meet 508-compliance standards * Present complex analytical results ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office ... Ensure all published materials meet 508-compliance standards * Present complex analytical results ...

ATCC

Chief Scientific Officer

Gaithersburg, MD · On-site

A global nonprofit that provides trusted biological materials for science and health, ATCC is ... Experience working in cross-functional environments with computational biology, product, or ...

ATCC

Chief Scientific Officer

Gaithersburg, MD

A global nonprofit that provides trusted biological materials for science and health, ATCC is ... Experience working in cross-functional environments with computational biology, product, or ...

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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 in Mineral Physics

Carnegie Science

Washington, DC

$55K - $75K/yr

Full-time

Posted 18 days ago

Job description

Description The Earth and Planets Laboratory (EPL), Carnegie Institution for Science, seeks applications for a Postdoctoral Fellow to investigate the physical properties of the Earth's mantle. The Fellow will contribute significantly to the development of new in situ methods for performing impedance spectroscopy and Raman spectroscopy of mantle materials at high pressure and temperature, interpret the results, and contribute to manuscripts for publication. The successful candidate will lead the project, in collaboration with Dr. Anne Pommier (EPL) and Dr. Michael Tauber (UC San Diego). The Fellow will also have the opportunity to develop an independent side-project. The Earth and Planets Laboratory houses world-class experimental facilities in high-pressure research, analytical geochemistry, and materials science. Carnegie Science also has state-of-the-art computational facilities which support theoretical, data analytic, geodynamic and mineral physics investigations. Postdoctoral Fellows at EPL have access to valuable training resources, and opportunities for mentoring and professional development are provided to help launch successful scientific careers in academia and industry. The appointment is for one year, with renewal for a second year pending progress. The position can begin as of June 1, 2026 and will be based at the Broad Branch Road campus of the Carnegie Institution for Science in Washington, DC. Qualifications Minimum qualification for this position is a doctoral degree in mineral physics, experimental petrology, geophysics, or a related field at the time of appointment. The candidate should have experience in high-pressure experiments, preferably The Paris-Edinburgh press. It is desired that candidates have experience or familiarity with impedance spectroscopy and/or Raman spectroscopy. The candidate should demonstrate excellent verbal and written communication skills and be comfortable in a highly collaborative environment. Application Instructions Interested applicants need to submit a cover letter, a curriculum vitae (including a list of publications), a statement of previous research and research interests no longer than 3 pages, and the contact information for three references. Review of applications will begin November 1, 2025, and continue until the position is filled. Questions about the position and application process may be directed to Dr. Anne Pommier (apommier@carnegiescience.edu) and/or Dr. Michael Tauber (mtauber@ucsd.edu).

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