Engineering Intern – Materials & Process Modeling (Summer 2026)

CelLink Corporation•Georgetown, TX

10h•$25 - $35•Onsite

About The Position

CelLink is seeking a highly motivated Engineering Intern to support a focused, high-impact summer project within our Engineering team. This role will center on developing a predictive model of laminated material deformation through our manufacturing processes. This is a hands-on opportunity to work on a well-defined, technically meaningful problem with direct application to production. The intern will collaborate with engineering and operations teams to translate real-world process data into a usable predictive tool that supports new product development and process optimization.

Requirements

Currently pursuing a BS or MS in Mechanical Engineering, Materials Science, or a related field.
Coursework in Mechanics of Materials (required).
Strong analytical and problem-solving skills.
Ability to translate real-world physical behavior into mathematical models.
Experience with data analysis tools (e.g., Excel, MATLAB, Python, or similar).
Strong attention to detail and data accuracy
Ability to work independently on a defined project while collaborating cross-functionally
Clear communication skills, including the ability to explain technical concepts
Curiosity and willingness to test, iterate, and refine assumptions
Comfort working in a fast-paced, manufacturing environment

Nice To Haves

Exposure to thermal processes, material deformation, or predictive modeling is a plus.
Experience with simulation tools (e.g., FEA or similar) is a bonus.

Responsibilities

Develop a predictive, equation-based (analytical) model to estimate deformation (e.g., shrinkage) of laminated materials during manufacturing processes.
Utilize existing in-line measurement data and lookup tables from current products as a baseline.
Expand from product-specific data to a generalized model capable of predicting behavior for new product designs prior to production.
Validate model outputs against observed manufacturing data and refine for accuracy.
(Optional/Bonus) Develop a computer-based simulation model to complement the analytical approach.
Analyze material behavior data collected from manufacturing processes.
Translate physical behavior into mathematical relationships and predictive equations.
Build and document a generalized predictive model.
Partner with engineering teams to validate assumptions and results.
Present findings, methodology, and recommendations at the conclusion of the internship.
Document work in a format that can be maintained and expanded by the team.