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Computational Materials Science Jobs in Connecticut

Varsity Tutors

Physical Chemistry Tutor

Stamford, CT · Remote

$18 - $40/hr

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

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Physical Chemistry Tutor

New Haven, CT · Remote

$18 - $40/hr

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

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Physical Chemistry Tutor

Norwalk, CT · Remote

$18 - $40/hr

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

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Physical Chemistry Tutor

Hartford, CT · Remote

$18 - $40/hr

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

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Physical Chemistry Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

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AP Computer Science A Tutor

Norwalk, CT · Remote

$18 - $40/hr

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

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AP Computer Science A Tutor

New Haven, CT · Remote

$18 - $40/hr

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

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All JobsComputational Materials Science JobsComputational Materials Science Jobs in Connecticut

Computational Materials Science information

See Connecticut salary details

$148.5K

$176K

$200.7K

How much do computational materials science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for computational materials science in Connecticut is $176,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $162,100.00 and $189,700.00 per year, depending on experience, location, and employer.

What is computational materials science?

Computational materials science is a field that uses computer-based simulations and modeling to understand, predict, and design the properties and behaviors of materials. Researchers use mathematical models, algorithms, and high-performance computing to study materials at the atomic, molecular, or macroscopic level. This approach allows scientists to accelerate the discovery of new materials, optimize existing ones, and investigate phenomena that may be difficult or expensive to study experimentally.

What are computational materials science jobs?

Jobs in computational materials science include academic and research positions in university settings. You can also find positions in the manufacturing industry. As a research scientist in computational materials science, your duties are to develop hypotheses and test them using computational modeling software and a variety of investigatory tools, such as Monte Carlo algorithms, density function theory, phase field models, and finite element methods. Your responsibilities include gathering data, testing modeling software, collaborating with other researchers to develop tools that aid them in their research, and analyzing data to write reports, journal articles, or presentations for conferences.

What are the key skills and qualifications needed to thrive as a computational materials scientist, and why are they important?

To thrive as a Computational Materials Scientist, you need a solid background in materials science, physics, or chemistry, often with a graduate degree and experience in scientific computing. Proficiency with simulation software (such as VASP, LAMMPS, or Quantum ESPRESSO), programming languages (like Python, C++, or Fortran), and familiarity with high-performance computing systems is typically required. Critical thinking, problem-solving abilities, and effective collaboration and communication skills set outstanding candidates apart. These competencies are crucial for designing, executing, and interpreting complex simulations and for translating computational insights into real-world materials innovations.

What are some common challenges faced by professionals in computational materials science, and how can they be addressed?

Professionals in Computational Materials Science often encounter challenges such as dealing with large datasets, managing the complexity of multi-scale simulations, and ensuring the accuracy of computational models. Addressing these challenges typically involves staying updated on the latest simulation software, collaborating closely with experimental teams to validate results, and developing strong programming and data analysis skills. Effective communication and interdisciplinary teamwork are also key, as projects often require input from chemists, physicists, and engineers to achieve successful outcomes.

What is the difference between Computational Materials Science vs Materials Engineer?

AspectComputational Materials ScienceMaterials Engineer
Required CredentialsTypically requires a PhD or Master's in materials science, physics, or chemistryBachelor's or Master's in materials engineering or related field
Work EnvironmentResearch labs, universities, or R&D departments focusing on simulations and modelingManufacturing plants, design offices, or product development teams
Industry UsagePrimarily in research, academia, and advanced R&D projectsProduction, quality control, and product development in manufacturing industries
Common Search/ComparisonYesYes

Computational Materials Science focuses on using computer simulations and modeling to understand and predict material behavior, often requiring advanced degrees. Materials Engineers work on designing, testing, and improving materials in practical applications, usually with a bachelor's or master's degree. While both roles are integral to materials development, Computational Materials Science is more research-oriented, whereas Materials Engineering emphasizes application and production.

More about Computational Materials Science jobs

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

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

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

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

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

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

Computational Materials Science jobs near you
Infographic showing various Computational Materials Science job openings in Connecticut as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $176,008 per year, or $84.6 per hour.

Senior Scientist, Computational Materials Solutions

Danbury, CT • On-site

Entegris
Semiconductor and Electronic Component Manufacturing • 5 - 10K employees

8.2

Company rating: 8.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

84th of 545 rated manufacturers

People enjoy working here

Good employer

Recommended by students

Learn more about Entegrisexternal

$93K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

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.

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