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Internship Computational Material Science Jobs in Arizona

Intel

FCO Functional Area Industrial Engineer

Phoenix, AZ · On-site

$69K - $93K/yr

  • Medical

  • Retirement

  • PTO

... or internship experiences. Minimum Qualifications: * A Bachelor's degree in Material Science or Industrial Engineering or Systems Engineer or other related discipline and 2+ years of relevant ...

Danaher

Software Engineer Internships

Tucson, AZ · On-site

... Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date

Danaher

Software Engineer Internships

Scottsdale, AZ · On-site

... Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date

Danaher

Software Engineer Internships

Glendale, AZ · On-site

... Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date

Danaher

Software Engineer Internships

Mesa, AZ · On-site

... Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date

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Internship Computational Material Science information

What is an internship in computational material science?

An internship in computational material science is a temporary position, often for students or recent graduates, where participants work with experts to apply computer modeling and simulations to study materials at the atomic or molecular level. Interns typically use specialized software to predict material properties, analyze data, and support ongoing research projects. These internships provide hands-on experience in both materials science and computational techniques, helping to prepare individuals for careers or further study in the field.

What types of projects and collaborations can I expect during an internship in computational material science?

As an intern in Computational Material Science, you will typically work on projects involving the simulation and modeling of materials using computational tools and software. These projects often require close collaboration with other interns, research scientists, and sometimes experimentalists to validate your computational results. You may contribute to ongoing research, assist in code development, analyze data, and present findings to the team. This environment encourages skill development in programming, data analysis, and scientific communication, while also providing valuable exposure to multidisciplinary teamwork.

What are the key skills and qualifications needed to thrive as an intern in computational material science, and why are they important?

To thrive as an intern in Computational Material Science, you generally need a strong foundation in materials science, physics, chemistry, and programming, often supported by coursework or experience in these areas. Familiarity with simulation software (such as VASP, LAMMPS, or Quantum ESPRESSO), coding languages like Python or MATLAB, and potentially basic knowledge of high-performance computing systems is typically required. Analytical thinking, attention to detail, and effective communication are valuable soft skills that help in interpreting results and collaborating with research teams. These skills and qualities are essential for conducting accurate simulations, solving complex research problems, and contributing meaningfully to scientific projects.

What are the most commonly searched types of Computational Material Science jobs in Arizona?

The most popular types of Computational Material Science jobs in Arizona are:

What cities in Arizona are hiring for Internship Computational Material Science jobs?

Cities in Arizona with the most Internship Computational Material Science job openings:

Internship Computational Material Science jobs near you

High School Computer Science Tutor

Varsity Tutors

Glendale, AZ • Remote

$18 - $40/hr

Part-time

Re-posted 10 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 24 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online High School Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a High School Computer Science Tutor
  • Advanced Subject Mastery: Deep knowledge of computational thinking, programming fundamentals in Python or Java, data types, control structures, functions, arrays, basic algorithms, debugging, and introductory concepts in cybersecurity and data. Ability to explain algorithm efficiency, Boolean logic, and binary representation while preparing students for AP Computer Science courses, college computer science, and technology careers.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching programming logic, problem decomposition, and debugging strategies for high school students new to computer science. Guides students through writing programs with variables and loops, implementing simple algorithms, designing solutions to computational problems, and using development environments. Emphasizes building computational thinking skills and connects computer science to robotics, game design, and real-world technology applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with high school computer science standards including CSTA frameworks and common challenges such as abstract thinking about algorithms, debugging syntax and logic errors, and building persistence through coding challenges. Adapts instruction using visual programming tools, interactive coding platforms, and engaging projects to support students from introductory exploring computer science through pre-AP preparation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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