ZipRecruiter

Log In

1

Internship Computational Materials Science Jobs (NOW HIRING)

SES

Computational Materials Scientist

Woburn, MA · On-site +1

$180K - $200K/yr

This powerful combination of "AI for science" and material engineering enables batteries that can ... As a Computational Materials Scientist, you will be a core data-driven modeler responsible for ...

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site +1

$90K - $140K/yr

Overview We look for computational materials scientists excited about bridging the gap between ... science to help us develop a software framework for designing and discovering new advanced ...

Mercor

Materials Scientist

Detroit, MI · On-site

$70 - $110/hr

... science, materials engineering, or related fields. * 4+ years of research or industrial R&D experience in materials. * Specialization in areas like energy storage, semiconductors, or computational ...

next page

Showing results 1-20

All Jobscomputational materials science Jobsinternship JobsInternship Computational Materials Science Jobs

Internship Computational Materials Science information

See salary details

$11

$19

$29

How much do internship computational materials science jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for internship computational materials science in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

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 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 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 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.

More about Internship Computational Materials Science jobs

What cities are hiring for Internship Computational Materials Science jobs?

Cities with the most Internship Computational Materials Science job openings:

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

The most popular types of Computational Materials Science jobs are:

What states have the most Internship Computational Materials Science jobs?

States with the most job openings for Internship Computational Materials Science jobs include:

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

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

Internship Computational Materials Science jobs near you
Infographic showing various Internship Computational Materials Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Senior Scientist, Computational Materials Solutions

Entegris

Danbury, CT • On-site

$93K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Entegris rating

8.2

Company rating: 8.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

89th of 545 rated manufacturers

Job description

Job Title:
Senior Scientist, Computational Materials Solutions
Job Description:
The Role
Entegris is currently seeking a Senior Scientist, Computational Materials Solutions to join our Digital Innovation Team in the Technology and Innovation organization within our Materials Solutions (MS) business.
This role focuses on accelerating innovation by combining computational science, machine learning, and domain expertise to deepen scientific understanding, guide experimentation, and translate research breakthroughs into scalable technologies for Molecular & Engineering Solutions (MES) business unit. You will translate MES business and technology priorities into actionable computational approaches, including molecular and materials modeling, predictive simulation, statistical and hybrid methods, and scientific data analysis. You will work in close partnership with experimental scientists, engineers, R&D leaders, and cross-functional technology teams to develop solutions that inform materials design, process development, product performance, and next generation technologies. The ideal candidate brings deep quantitative rigor, curiosity-driven problem solving, and the ability to bridge theory, data, and experimentation.
What You'll Do
  • Develop and apply molecular, statistical and computational, chemistry-informed solutions to investigate material behavior, process mechanisms, and guide materials design.

  • Support MES product and technology development programs through AI/ML, predictive simulations, structure-property analysis, design-of-experiments support, optimization, and reusable computational workflows.

  • Integrate simulation data, experimental results, and domain knowledge to support hypothesis generation, experiment prioritization, and model-based interpretation of R&D results.

  • Perform model calibration, verification, validation, sensitivity analysis, and uncertainty quantification to build scientific confidence in computational recommendations.

  • Translate computational outputs into actionable guidance for MES scientists, engineers, and leaders, including clear communication of assumptions, limitations, uncertainty, and decision implications.

  • Build reusable solution libraries, workflows, documentation, and technical knowledge assets that can be applied across MES priorities and broader Materials Division R&D needs.

  • Communicate modeling assumptions, results, and insights clearly to technical and non-technical stakeholders. Document methods and results in technical reports, internal publications, and knowledge repositories.

What We Seek
  • M.S. or Ph.D. in Chemistry, Materials Science, Physics, Engineering, or related scientific discipline.

  • Strong foundation in computational materials science, computational chemistry, molecular modeling, statistics, scientific computing, and simulation

  • Experience supporting research, experimentation, or early-stage technology development.

  • Ability to connect computational results to physical or chemical mechanisms and translate those results into practical R&D decisions.

  • Working knowledge of model verification, validation, uncertainty quantification, documentation, simulation data management, model reuse, and lifecycle governance.

  • Hands-on experience developing computational, simulation, or data-driven solutions using Python and scientific libraries such as NumPy, pandas, scikit-learn, PyTorch, TensorFlow, or related tools.

  • Strong collaboration, stakeholder-management, and communication skills with the ability to present complex technical work clearly to scientific, engineering, and business audiences.

Preferred Qualifications
  • 1-3 years of experience in materials science, chemistry, semiconductor, life sciences, energy, or advanced manufacturing R&D.

  • Demonstrated success combining experimental data with modeling and AI to guide discovery or development.

  • Experience with design-of-experiments (DoE), optimization, or Bayesian methods.

  • Familiarity with visualization, notebooks, or technical storytelling for R&D audiences.

  • Publications, patents, or significant internal research contributions.

Why Work at Entegris
Lead. Inspire. Innovate. Define Your Future.
Not everyone who works for a global company shares the same background, experiences and perspectives. We leverage the differences of our employees to bring new ideas to the table. Every employee throughout the company is encouraged to share input on projects and initiatives. Our decision-making process is truly a collaborative effort as we realize there are leaders at every level of the organization. We put our values at the core of how we operate as an organization - not just when it's convenient, but in a lasting and meaningful way. We want the time and energy you spend here to have a positive impact on your life inside and outside of the office.
What We Offer
Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.
  • Compensation: $100,500 - $125,500 per year range with actual pay dependent on candidate overall skills for the role
  • Generous 401(K) plan with an impressive employer match

  • Excellent health, dental and vision insurance packages to fit your needs

  • Flexible work schedule and 11 paid holidays a year

  • Paid time off (PTO) policy that empowers you to take the time you need to recharge

  • Education assistance to support your learning journey

  • Values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence

Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future.
At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status.

What Entegris employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply