1

Freelance Computational Materials Science Jobs (NOW HIRING)

$101 - $126/hr

## Senior Scientist, Computational Materials SolutionsApplylocations: Remote, PAtime type: Full ... This role focuses on accelerating innovation by combining computational science, machine learning ...

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 ...

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 ...

... 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

Freelance Computational Materials Science information

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

AspectFreelance Computational Materials ScienceFreelance Materials Engineer
CredentialsBackground in materials science, physics, or chemistry; proficiency in computational toolsBackground in materials engineering, metallurgy, or related fields; practical experience in material testing
Work EnvironmentPrimarily remote, focused on simulations and modelingOften remote or on-site, involving testing, analysis, and design
Industry UsageUsed in research, development, and academia for modeling materials behaviorApplied in manufacturing, product development, and quality control

Freelance Computational Materials Science focuses on simulation and modeling of materials properties, while Freelance Materials Engineer emphasizes practical testing and application. Both roles require a strong background in materials science but differ in their approach and work environment.

More about Freelance Computational Materials Science jobs

What cities are hiring for Freelance Computational Materials Science jobs?

Cities with the most Freelance 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 Freelance Computational Materials Science jobs?

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

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

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

Infographic showing various Freelance Computational Materials Science job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Computational Materials Scientist

Santa Fe, NM • On-site

$110 - $150/hr

Other

Medical, Retirement

Posted 7 days ago


Job description

Discovery 2 Scale is building the Autonomous Foundry for Advanced Materials—an end-to-end platform connecting materials design, autonomous experimentation, qualification, and scale-up to deliver production-ready materials faster and with less risk.

We are looking for a highly skilled computational materials scientist with strong CALPHAD and Thermo-Calc experience to help build the thermodynamic intelligence behind our platform.

What you’ll do
  • Develop CALPHAD and Thermo-Calc workflows for alloy design and high-throughput screening.
  • Model phase stability, solidification, segregation, and phase transformations.
  • Perform Scheil and kinetic simulations to evaluate manufacturability and processing windows.
  • Develop models for weldability, heat-affected-zone behavior, and thick-section producibility.
  • Build automated Python and Thermo-Calc pipelines for large composition and processing spaces.
  • Integrate thermodynamic predictions with AI/ML models and experimental data to guide alloy design.
Required qualifications
  • M.S. or Ph.D. in Materials Science, Metallurgy, Computational Materials Science, or a related field.
  • Hands-on experience with Thermo-Calc and CALPHAD.
  • Experience modeling multicomponent metallic alloy systems.
  • Experience with equilibrium phase and Scheil solidification calculations.
  • Strong understanding of physical metallurgy, thermodynamics, solidification, and phase transformations.
  • Experience with scientific programming or workflow automation using Python or similar tools.
  • Ability to connect computational predictions with real materials processing and experimental observations, and work independently in a fast-paced startup environment.
Preferred qualifications
  • Experience with TC-Python, DICTRA, TC-PRISMA, or related thermodynamic and kinetic modeling tools.
  • Experience with steels, nickel-based alloys, titanium or refractory alloys, or multi-principal-element alloys.
  • Experience with welding metallurgy, HAZ transformations, solidification, segregation, or casting.
  • Experience integrating CALPHAD predictions with SEM, EDS, EBSD, or other experimental data.
  • Experience combining CALPHAD with machine learning, materials informatics, or high-throughput alloy design.
Why join D2S?
  • Build cutting-edge autonomous materials discovery technology.
  • Work alongside world-class scientists and engineers.
  • High level of ownership and technical freedom.
  • Opportunity to help build a company from the ground up.
  • Competitive salary, comprehensive health benefits, and a 401(k) with company match.
#J-18808-Ljbffr