Computational Materials Engineering Intern

CoorsTek•Golden, CO

10h•$21 - $25

About The Position

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. 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.

Requirements

Must be currently enrolled in a bachelor’s or master’s degree program in engineering, computer science, or related STEM field
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.
Be able to clean, validate, and organize data from various sources into a centralized, tidy format
Demonstrate the ability to interpret and analyze data with a programming language, extract meaningful insights, and offer actionable recommendations.
Be able to analyze complex problems, identify potential solutions, and implement effective strategies to address issues that arise in the course of your work.
Be able to work with a diverse group of people from different cultures and educational backgrounds towards achieving common goals
Be able to communicate complex ideas to a broad range of audiences

Nice To Haves

Previous internship or related professional experience a plus but not required
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

Responsibilities

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
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