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SkyNano

Computer Science Intern

Knoxville, TN · On-site

Knoxville, TN | Full-Time, Summer 2026 Company: SkyNano LLC About SkyNano SkyNano is a fast-growing startup transforming carbon emissions into value. We've developed and patented an electrochemical ...

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Marketing Science Intern

Chicago, IL · On-site

$20/hr

As a Marketing Science Intern, you will... * Learn about the omnichannel advertising landscape ... A full-time rising Junior, Senior, or graduating at an accredited 4-year College or University

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Computer Science Intern

SkyNano

Knoxville, TN • On-site

Full-time, Internship

Posted 22 days ago

Job description

Job Title: Computer Science Intern
Location: Knoxville, TN | Full-Time, Summer 2026
Company: SkyNano LLC
About SkyNano
SkyNano is a fast-growing startup transforming carbon emissions into value. We've developed and patented an electrochemical process to convert CO₂ into high-performance carbon nanotubes (CNTs) and battery-grade graphite, unlocking new possibilities for advanced materials while solving urgent industrial challenges. As we scale our technology from pilot to commercial manufacturing, we are building a world-class team of engineers, scientists, and builders motivated by deep technical challenges and real-world impact.
At SkyNano, you'll find a mission-driven culture that values creativity, rigorous engineering, cross-disciplinary collaboration, and continuous learning. Your work will directly contribute to scaling a first-of-a-kind, high-temperature electrochemical manufacturing platform.
Position Summary
We are seeking a full-time Computer Science Intern to join our team for the Summer of 2026 in our Knoxville, Tennessee facility. The intern's primary project will be the development of a semi-automated image analysis tool for carbon processing from scanning electron microscopy (SEM) images.
Key Responsibilities:
  • Assist in developing and refining a Python-based GUI using PyQt5 and OpenCV.
  • Support integration of analysis features and image segmentation tools.
  • Help test and debug new functionality across different image sets.
  • Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Background coding Knowledge:
  • Python is required, C++ is a bonus to understand the API's.
  • Knowledge of PyQt5 or other GUI frameworks is strongly preferred.
  • OpenCV for image processing is strongly preferred.
  • Familiarity with NumPy and Matplotlib.
  • Familiar with understanding image segmentation, masking, or broad image analysis.

Course Requirements/Level of expertise: Junior level and above.
Other Requirements: Must be a U.S. Citizen.

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