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Internship Computational Materials Science Jobs in Minnesota

TEL

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 ...

TEL

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 ...

H.B. Fuller Company

R&D Intern

Saint Paul, MN · On-site

$22 - $25/hr

S. We hire interns in the following positions: Process Engineering, R&D, Strategic Sourcing ... Working closely with scientists and engineers, the intern will formulate and test new materials ...

H.B Fuller

R&D Intern

Saint Paul, MN

$25/hr

S. We hire interns in the following positions: Process Engineering, R&D, Strategic Sourcing ... Working closely with scientists and engineers, the intern will formulate and test new materials ...

H.B. Fuller

R&D Intern

Saint Paul, MN · On-site

$22 - $25/hr

Working closely with scientists and engineers, the intern will formulate and test new materials ... Throughout the internship, the candidate will develop technical laboratory skills, gain exposure to ...

Varsity Tutors

Physical Chemistry Tutor

Saint Paul, 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 ...

Varsity Tutors

Physical Chemistry Tutor

Minneapolis, 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 ...

Varsity Tutors

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 ...

3M

Optics Research Scientist

Maplewood, MN · On-site

$124K - $151K/yr

... computational skills * Engaging with 3M's international laboratories for technology and product ... Materials Science, Electrical Engineering, Mechanical Engineering, or a related science or ...

3M

Optics Research Scientist

Maplewood, MN · On-site

$124K - $151K/yr

... computational skills * Engaging with 3M's international laboratories for technology and product ... Materials Science, Electrical Engineering, Mechanical Engineering, or a related science or ...

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All JobsComputational Materials Science JobsInternship Computational Materials Science JobsInternship Computational Materials Science Jobs in Minnesota

Internship Computational Materials Science information

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.

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 are popular job titles related to Internship Computational Materials Science jobs in Minnesota?

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

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

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

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

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

Internship Computational Materials Science jobs near you

Process Engineer III

TEL

Chaska, MN • On-site

$78K - $110K/yr

Full-time

Re-posted 5 days ago

Key responsibilities

  • Develop and optimize plasma processes to meet performance, quality, and manufacturability objectives.

  • 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.

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.
Subsidiary
TEL Manufacturing and Engineering of America, Inc.

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