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Intern Computational Materials Science Jobs (NOW HIRING)

Novelis

Lead Modeling Scientist

Kennesaw, GA

D.) in Materials Science, Mechanical Engineering, or a related field, with more than ten years of experience in computational modeling. * Expertise in metallurgy and materials science, as well as ...

Worcester Polytech

Post-Doctoral Fellow

Worcester, MA

$45K - $70K/yr

... computational materials science with a focus on advanced density functional theory (DFT), machine learning, and multiscale materials modeling for alloys and ceramics. The successful candidate will ...

The Pennsylvania State University

Work alongside experts in materials science, metallurgy, engineering and performance modeling to ... Working knowledge of computational and analytical corrosion research methods * Comfortable working ...

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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.
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Intern Computational Materials Science jobs near you
Infographic showing various Intern Computational Materials Science job openings in the United States as of June 2026, with employment types broken down into 25% Full Time, 31% Part Time, 11% Temporary, 29% Contract, and 4% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.
Experimental Materials Scientist / Engineer

Experimental Materials Scientist / Engineer

MIT Lincoln Laboratory

Lexington, MA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

The mission of the Advanced Materials and Microsystems Group in the Advanced Technology Division is to research and develop a broad array of electronic, electro-optic, and RF materials and devices to develop leap-ahead capability in support of national security.  Our materials research enterprise spans the materials development cycle from computation and theory to growth, processing, and characterization, and complements RF, imager, and quantum computing technology development in the division. 

Job Description

The Advanced Materials and Microsystems Group at MIT Lincoln Laboratory seeks a technical staff to spearhead and grow the enterprise focused on experimental materials development for critical national security applications. Initial focus will be on new materials for microelectronics, including wide-bandgap semiconductors, such as the growth and doping of cubic boron nitride on diamond. Additional responsibilities will include the development of experimental methods as part of the AI-enabled rapid materials discovery team. The ideal candidate will combine deep technical expertise with strategic business acumen and strong interdisciplinary collaboration skills. Occasional travel is required to meet with sponsors and participate in professional conferences. 

Key Responsibilities:

  • Lead and conduct hands-on experimental research in advanced materials synthesis, processing, and characterization
  • Help develop and execute a strategic roadmap for the materials enterprise, aligning experimental research with national security priorities
  • Serve as a subject matter expert for the new material synthesis and processing thrust of the AI-enabled rapid material discovery program
  • Define and propose new research and development opportunities with government agencies, academic institutions, and industry
  • Manage project timelines, budgets, and reporting to meet organizational and sponsor objectives
  • Lead, mentor, and participate in multidisciplinary teams, fostering a culture of innovation, excellence, and collaboration
  • Write and publish technical reports, manuscripts, and proposals detailing research methods, findings, and strategic implications.

 

Requirements
  • PhD in Materials Science, Physics, Chemistry, Engineering or related field. Equivalent experience will be considered.
  • Demonstrated ability to create, fabricate, and analyze materials for specific applications and use cases 
  • Demonstrated ability to train, mentor, and build teams
  • Active or eligible to obtain a Secret security clearance
  • Excellent oral and written communications skills, including ability to communicate experimental results to experts and non-experts, government sponsors, and internal stakeholders
  • Strong interpersonal and leadership skills

 

Desired Skills

  • Demonstrated ability to grow and process thin-film electronic materials
  • Thorough understanding of wide band gap semiconductor materials and their associated processing methods
  • Growth and processing expertise in cubic boron nitride (c-BN), diamond, or established and emerging wide-bandgap semiconductors
  • Expertise in material growth reactor and processing tool design and fabrication
  • Expertise in a broad array of inorganic material systems
  • Familiarity with computational materials science with linkage to experimental methods
  • Familiarity with semiconductor device physics
  • Experience in successfully guiding and leading interdisciplinary technical programs
  • Experience defining and executing technology roadmaps
  • Six or more years of post-graduate experience as an experimental materials researcher

Expertise outside the named disciplines will be considered for exceptional candidates

Recent Graduate Hiring Range: $145,200-$170,000

Experienced Hiring Range: $145,200-$220,000

 

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

 

Requisition ID: 42457 

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