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Computational Materials Science Jobs in Minnesota

D. in Plasma Physics, Electrical Engineering, Mechanical Engineering, Materials Science, or a ... Computational modeling and simulation * Experimental design and validation * Root cause analysis ...

Process Engineer III

Chaska, MN · On-site

$78K - $110K/yr

D. in Plasma Physics, Electrical Engineering, Mechanical Engineering, Materials Science, or a ... Computational modeling and simulation * Experimental design and validation * Root cause analysis ...

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

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

Physical Chemistry Tutor

Edina, MN · 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 ...

AP Computer Science A Tutor

Edina, MN · 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 ...

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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Showing results 1-20

Computational Materials Science information

See Minnesota salary details

$139.1K

$164.8K

$187.9K

How much do computational materials science jobs pay per year?

As of Aug 25, 2026, the average yearly pay for computational materials science in Minnesota is $164,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,800.00 and $177,700.00 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.

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

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

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

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

What cities in Minnesota are hiring for Computational Materials Science jobs?

Cities in Minnesota with the most Computational Materials Science job openings:

Infographic showing various Computational Materials Science job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $164,833 per year, or $79.2 per hour.

Process Engineer III

Chaska, MN

$78K - $110K/yr

Full-time

Re-posted 26 days ago


Job description

Let's search for your next career at TEL. Use the form below to search our current opportunities and then apply. Please consider joining our Talent Community so that we may continue to engage with you.

Job Description

Process Engineer III - Plasma Process & Hardware Development

Location: Chaska MN or Chelmsford MA

Position Summary

The Process Engineer III is an experienced technical contributor responsible for the development, characterization, and optimization of advanced plasma processes and plasma hardware. This role requires deep expertise in plasma physics, plasma-material interactions, plasma source design, and process development. The engineer will leverage both computational modeling and experimental methods to develop next-generation plasma technologies for semiconductor manufacturing, advanced materials processing, or related applications.

Working in a multidisciplinary environment, the Process Engineer III will collaborate closely with hardware, electrical, mechanical, and systems engineers to design, validate, and improve plasma systems while driving process performance, reliability, and manufacturability.

Key Responsibilities

  • Develop and optimize plasma processes to meet performance, quality, and manufacturability objectives.
  • Apply advanced knowledge of plasma physics, plasma chemistry, and plasma-material interactions to solve complex technical challenges.
  • Design, develop, and evaluate plasma hardware, including plasma sources, microwave and RF power delivery systems, gas delivery components, magnetic field configurations, and chamber hardware.
  • Perform plasma diagnostics and experimental characterization using techniques such as Langmuir probes, optical emission spectroscopy (OES), VI probes, mass spectrometry, FTIR or other diagnostic tools.
  • Utilize plasma simulation and modeling tools to predict plasma behavior, optimize reactor designs, and correlate simulation results with experimental data.
  • Design and execute statistically sound experiments (DOE), analyze process data, and develop engineering models to improve plasma performance.
  • Troubleshoot plasma process and hardware issues through systematic root cause analysis and corrective actions.
  • Collaborate with cross-functional teams including product engineering, systems engineering, manufacturing, and reliability engineering to transition new technologies into production.
  • Develop technical documentation, engineering reports, design specifications, and operating procedures.
  • Present technical findings to engineering leadership, customers, and cross-functional teams.
  • Mentor junior engineers and provide technical leadership on plasma-related projects.

Required Qualifications

  • Bachelor's degree in Physics, Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, or a related technical field.
  • Minimum of 5 years of experience in plasma process development, plasma hardware development, or related engineering disciplines.
  • Strong fundamental understanding of:
    • Plasma physics
    • Plasma chemistry
    • Plasma-material interactions
    • RF and microwave plasma generation and power coupling
    • Gas-phase kinetics and transport phenomena
  • Demonstrated experience developing plasma hardware and reactor components.
  • Experience with plasma simulation tools (e.g., COMSOL Multiphysics, VSim, CFD-ACE+, ANSYS, or equivalent) and correlation of simulation results with experimental data.
  • Hands-on experience designing and conducting plasma experiments and interpreting diagnostic data.
  • Strong analytical, troubleshooting, and data analysis skills.
  • Experience using Design of Experiments (DOE) methodologies and statistical analysis.
  • Excellent written and verbal communication skills.

Preferred Qualifications

  • Master's or Ph.D. in Plasma Physics, Electrical Engineering, Mechanical Engineering, Materials Science, or a related field.
  • Experience in semiconductor equipment, vacuum systems, thin-film processing, etch, deposition, surface treatment, or advanced plasma applications.
  • Knowledge of RF matching networks, microwave plasma systems, pulsed plasma operation, and electromagnetic modeling.
  • Familiarity with finite element analysis (FEA), computational fluid dynamics (CFD), or particle-in-cell (PIC) plasma simulations.
  • Programming experience in Python, MATLAB, or similar scientific computing languages for data analysis and automation.
  • Experience transferring plasma technologies from research and development into manufacturing.

Core Competencies

  • Advanced plasma physics expertise
  • Plasma process development
  • Plasma hardware design and integration
  • Computational modeling and simulation
  • Experimental design and validation
  • Root cause analysis and problem solving
  • Cross-functional collaboration
  • Technical leadership and mentoring
  • Project execution and continuous improvement
Salary Ranges$78,485.94 - $110,853.80

Individual pay is determined based on multiple factors, including but not limited to location, experience, skills, job-related knowledge, relevant education, certifications, and/or training. In addition to base salary, we offer (full time regular employees ) a comprehensive benefits package and for certain roles eligibility in our bonus plan and long-term incentives as applicable. The talent advisor can share more details about total compensation for the role in your location during the hiring process.

Diversity creates an innovative culture. TEL US is an Equal Employment Opportunity / Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

SubsidiaryTEL Manufacturing and Engineering of America, Inc.