Computational Materials Engineering Intern

Job Description

Computational Materials Engineering Intern | CoorsTek

The Tone:
This is a seasonal internship at CoorsTek, located in Golden, CO. CoorsTek is a company dedicated to advanced ceramics manufacturing, committed to bringing safety, quality, and customer focus to its business, making the world measurably better through its innovations. This role is an opportunity to make a real impact within the Computational Materials Engineering (CME) team by taking on an intentional project that directly contributes to CoorsTek’s global mission to explore and optimize materials for customers. You will gain hands-on experience in a research environment, contributing to the design, build, and deployment of data pipelines that fuel materials informatics, enhancing CoorsTek’s data foundation and expanding its analytics capabilities.

The TL;DR
• Role: Internship
• Type: Seasonal
• Location: Golden, CO

• Team: Computational Materials Engineering (CME) team, contributing to CoorsTek Global Research & Development (R&D).
• Mission: To explore and optimize materials for our customers by helping design, build, and deploy data pipelines that fuel materials informatics.
• Tech Stack: Python, SQL, Databricks

What You’ll Actually Do
• R&D Data Infrastructure: Contribute to our R&D data infrastructure by building Databricks ELT pipelines to structure data from machine-generated sources.
• Data Integrity Tools: Develop validation and monitoring tools to enhance data integrity across our systems.
• Code Delivery: Employ CI/CD methods to deliver well-documented and tested code, ensuring robust and maintainable solutions.
• Data Science Solutions: Architect pragmatic data science solutions, carefully considering all stakeholder needs in collaboration with R&D researchers.
• Materials Development Support: Deliver exploratory data analyses to gain practical insights and train, validate, and deploy machine learning models to guide materials development.

The Must-Haves
• Background: Currently enrolled in a bachelor’s or master’s degree program in engineering, computer science, or a related STEM field (Early Career).
• Experience: Experience with at least one query, object-oriented, and/or scripting language, with Python and SQL preferred. Previous internship or related professional experience is a plus but not required.
• Skills: 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; analyze complex problems, identify potential solutions, and implement effective strategies; work with a diverse group of people from different cultures and educational backgrounds; and communicate complex ideas to a broad range of audiences.
• Bonus: 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.