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Computational Materials Science Jobs in Arizona (NOW HIRING)

Varsity Tutors

Physical Chemistry Tutor

Glendale, AZ · 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 ...

Varsity Tutors

Physical Chemistry Tutor

Scottsdale, AZ · 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

Phoenix, AZ · 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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Computational Materials Science information

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 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.

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 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 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.

Is computational chemistry a good career?

Computational chemistry is a valuable field within computational materials science, involving the use of computer simulations and modeling to study chemical systems. It offers opportunities in research, pharmaceuticals, and materials development, often requiring skills in programming, chemistry, and physics. The career can be rewarding with a strong job outlook, especially for those with advanced degrees and expertise in simulation tools and data analysis.
More about Computational Materials Science jobs
What are the most commonly searched types of Computational Materials Science jobs in Arizona? The most popular types of Computational Materials Science jobs in Arizona are:
What are popular job titles related to Computational Materials Science jobs in Arizona? For Computational Materials Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Computational Materials Science jobs in Arizona look for? The top searched job categories for Computational Materials Science jobs in Arizona are:
What cities in Arizona are hiring for Computational Materials Science jobs? Cities in Arizona with the most Computational Materials Science job openings:
Computational Materials Science jobs near you
Infographic showing various Computational Materials Science job openings in Arizona as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Sr. Principal Engineer, Systems (Plasma & Multi-Scale Simulation Scientist)

ASM

Phoenix, AZ • Hybrid

Full-time

Re-posted 18 days ago

Job description

Sr. Principal Engineer, Systems (Plasma & Multi-Scale Simulation Scientist)

Simulation and Modeling Hub 

Role Summary 

We are seeking a Senior Plasma & Multi-Scale Simulation Scientist to strengthen and expand plasma modeling capabilities within the Simulation and Modeling Hub (S&M-Hub). This role focuses on bridging plasma physics, surface chemistry, and feature-scale behavior to enable predictive, physics-based simulation workflows supporting advanced semiconductor process development (PEALD, PECVD, ALE, RIE). 

Key Responsibilities 

  • Develop and apply plasma simulation models (fluid and hybrid CCP/ICP) 
  • Bridge multiple scales including plasma-surface interactions, molecular/first-principles insights, and feature-scale behavior 
  • Integrate plasma modeling with CFD, thermal, and multi-physics simulations 
  • Collaborate with experimental teams to validate models using in-situ and ex-situ diagnostics 
  • Translate modeling insights into actionable process and equipment guidance 
  • Contribute to S&M-Hub roadmap development, best practices, and advanced modeling workflows 

Required Qualifications 

  • Ph.D. in Applied Physics, Plasma Physics, Materials Science, Chemical Engineering, or related field 
  • Strong background in plasma-assisted semiconductor processes (PEALD, PECVD, ALE, RIE) 
  • Demonstrated experience in computational plasma modeling 
  • Ability to connect fundamental modeling with experimental validation and manufacturing relevance 

Preferred Qualifications 

  • Experience with first-principles, molecular dynamics, or surface reaction modeling 
  • Exposure to feature-scale or device-relevant plasma simulations 
  • Familiarity with multi-physics coupling and reduced-order (ROM) or hybrid modeling approaches 
  • Experience in industrial R&D or advanced technology development environments 

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