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Intern Computational Materials Science Jobs in Washington

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Intern Computational Materials Science information

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

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

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

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

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

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

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

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

Senior Quantum Computational Materials Scientist, US

Washington, DC

$120K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Phasecraft is the quantum algorithms company. We are building the mathematical foundations for quantum computing applications that solve real-world problems. Founded in 2019 by Toby Cubitt, Ashley Montanaro and John Morton, we are based in London and Bristol in the UK and opened an office in Washington DC in 2024, led by Steve Flammia. In 2025 we completed a $34m Series B funding round co-led by Plural, existing investor Playground Global, and Novo Holdings' Quantum Fund in its first direct quantum software investment.

Phasecraft's unprecedented access to today's best quantum computers - through partnerships with Google, IBM, Quantinuum and QuEra - provides us with unique opportunities to develop foundational IP, inform the development of next-generation quantum hardware, and accelerate commercialization of high-value breakthroughs.

One of the key applications of Phasecraft's quantum algorithms is to modelling materials and molecular systems, where we have demonstrated significant reductions in cost compared with the state-of-the-art.

On the back of these breakthroughs, we are now looking to hire a Senior Quantum Computational Materials Scientist to join our team in Washington DC. In this newly created role, you will play a key role in guiding and coordinating the materials team's research efforts in the US, working closely with the Head of the US office and the materials team lead at Phasecraft. 

The ideal candidate will have extensive experience of research in the theory and application of computational techniques to materials or chemistry simulation, with an interest in applying algorithms for quantum computers to computational materials science. Their work will contribute to Phasecraft's goal of developing quantum algorithms for near-term quantum computers, and may encompass topics such as algorithm design, optimization and implementation, resource analysis, classical and quantum simulation benchmarking. They will have the opportunity to direct and grow a portfolio of research activity across the breadth of Phasecraft's interests.

Job Description

  • Take the role of a senior member of a talented team of scientists undertaking theoretical and applied research on near-term quantum computing algorithms, applications and enabling theoretical technologies.
  • Take initiative within the team to deliver publications, presentations, patent applications and similar resulting from the research.
  • Be a focal point for Phasecraft's interaction with stakeholders on US based collaborations applying quantum computing to materials simulation and discovery.
  • Contribute to new research directions ensuring alignment with the company's overall science strategy.
  • Work within the team to promote an environment of collaboration across a small international team made up of full-time staff and affiliated PhD students.
  • Other activities as required to support the growth and success of Phasecraft.

Requirements

Essential Criteria

  • Expertise in applied and theoretical computational materials science or closely related field.
  • PhD in (ab initio) electronic structure methods, theory and computation, Chemistry, Physics, Materials Science, or a closely related field.
  • Proven track record of working independently on research projects.
  • Deep expertise and an excellent publication track-record in relevant discipline.
  • Excellent written and verbal communication skills and the ability to disseminate research results to technical and non-technical audiences.
  • A deep understanding of the requirements of different funding sources, and the ability to lead efforts and independently write effective grant applications.
  • Flexibility to work across different aspects of quantum algorithms, and to work on other tasks required to support the growth and success of the company.
  • An interest in near-term quantum computing.

  Desirable criteria

  • Experience in materials discovery and use of machine learning methods to enhance workflows.
  • Experience in DFT++ approaches, such as DMFT, DMET, GW etc.
  • Experience in high throughput materials screening applications. 
  • Demonstrable experience in leading multiple complex and collaborative scientific research projects.
  • Experience in developing and growing a team of scientists, promoting an appropriate culture for continuous improvement and knowledge exchange.
  • Enthusiasm for learning and novel research.

Benefits

  • The annual compensation range for this role is $120,000 - $175,000, depending on experience.
  • Health, Vision, Dental, Life Insurance.
  • 401(k) Plan with company matching.
  • Unlimited annual leave.