Computational Materials Engineering Intern at CoorsTek GmbH

Golden, Colorado, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Jul, 26

Salary

0.0

Posted On

13 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Engineering, Data Science, Machine Learning, Data Analysis, Databricks, CI/CD, Data Integrity, Materials Science, Research and Development, Problem-solving, Teamwork, Communication, Version Control, Cloud Data Platforms

Industry

Glass;Ceramics and Concrete Manufacturing

Description

It's exciting to work for a company that makes the world measurably better. We're committed to bringing safety, quality, and customer focus to the business of advanced ceramics manufacturing. Job Title Computational Materials Engineering Intern What will you get out of this internship? At CoorsTek, our summer internship program is more than just a job — it’s an opportunity to make a real impact. As an intern, you’ll take on an intentional project that directly contributes to our business goals, gaining hands-on experience in your field while working alongside industry experts. You’ll have the chance to present your work to leadership at the end of the summer, showcasing your accomplishments and growth. Beyond the meaningful work, our program includes exciting events, networking opportunities, and a supportive environment that makes learning fun and engaging. Join us to build your skills, grow your career, and be part of a company that’s shaping the future with advanced ceramic solutions! As part of the Computational Materials Engineering (CME) team, you will contribute to CoorsTek's global mission – to explore and optimize materials for our customers – by helping design, build, and deploy data pipelines that fuel materials informatics. This effort involves enhancing our data foundation and expanding our analytics capabilities. You will gain hands-on experience employing your collaboration, critical thinking, and technical skills in a research environment. Job Description Role & Responsibilities: (Overview of project/work) As a CME Intern, you will own your own project, collaborating with CME teammates to support the current efforts of CoorsTek Global Research & Development (R&D). Responsibilities can include: Data Engineering: contribute to our R&D data infrastructure Build Databricks ELT pipelines to structure data from machine-generated sources Develop validation and monitoring tools to enhance data integrity Employ CI/CD methods to deliver well-documented and tested code Data Science: collaborate with R&D researchers Architect pragmatic data science solutions, considering all stakeholder needs Deliver exploratory data analyses to gain practical insights Train, validate, and deploy machine learning models to guide materials development Job Requirements Education & Experience: Must be currently enrolled in a bachelor’s or master’s degree program in engineering, computer science, or related STEM field Previous internship or related professional experience a plus but not required Functional/Technical Knowledge, Skills & Abilities: Experience with at least one query, object-oriented, and/or scripting language (Python and SQL preferred) Interest and/or coursework in engineering or materials science. Data organization: Be able to clean, validate, and organize data from various sources into a centralized, tidy format Data analysis: Demonstrate the ability to interpret and analyze data with a programming language, extract meaningful insights, and offer actionable recommendations. Problem-solving: Be able to analyze complex problems, identify potential solutions, and implement effective strategies to address issues that arise in the course of your work. Teamwork: Be able to work with a diverse group of people from different cultures and educational backgrounds towards achieving common goals Effective Communication: Be able to communicate complex ideas to a broad range of audiences Not required but nice to have: Experience with version control and contributing to an existing codebase Experience with cloud data platforms, like Databricks Experience with data science and/or machine learning techniques Target Hiring Range : USD 0.00 - USD 0.00 Actual compensation is commensurate with experience, skills and education. CoorsTek strives to give all qualified applicants equal opportunity and to make selection decisions on job related factors. Do not provide any information on the application which will indicate your race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, pregnancy, genetic information, veteran status, or any other status protected by law or regulation. If you like working for a company that makes a real difference in the world, you'll enjoy your career with us! About Us: Making the world measurably better...one person at a time. CoorsTek products and components touch people’s lives in unexpected, awe-inspiring ways. Though most people may not realize it, CoorsTek components enable technological solutions across virtually every industry—from simple items like beverage dispensers and light switches to high-tech items like cell phones and satellites. Chances are, you are using a CoorsTek-enabled technology every day without even knowing it! We create these amazing solutions by leveraging our expertise in materials science, deploying best-in-class R&D capabilities, and by creating efficient, safe work environments. Most importantly, we employ dedicated, hardworking, and creative individuals. The key component to our success is our people. CoorsTek strives to give all qualified applicants equal opportunity and to make selection decisions on job related factors. Do not provide any information on the application which will indicate your race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, pregnancy, genetic information, veteran status, or any other status protected by law or regulation. Benefits: • Paid Time Off • Medical, Dental, Vision Benefits • Company-Matched 401K (USA only) • Company-Matched Pension Plan (CANADA only) • HSA (Health Savings Account) with Company Contribution • Wellness Reimbursement Program (USA only) • Voluntary Benefits (Pet Insurance, Legal Insurance, Accident Insurance, Critical Illness Insurance & more) (USA only) • Safety Programs (reimbursement for safety shoes and company provided safety glasses) • Performance-Based Bonuses for all Employees • Employee Recognition Programs • Mentorship Program • Community & Volunteer Events & MORE!

Responsibilities

The intern will contribute to R&D by designing and deploying data pipelines to support materials informatics. They will also collaborate with researchers to architect data science solutions and train machine learning models for materials development.