SULI – NST – Hunter, Rosemarie – 2.13.26

Argonne National Laboratory • Lemont, IL

11d

About The Position

This project focuses on using AI and machine learning to accelerate the discovery of metastable materials with properties important for quantum information technologies. Students will work with real experimental datasets from thin-film synthesis and synchrotron characterization to build models for phase identification, property prediction, and closed-loop optimization. The work emphasizes data-driven modeling and physics-informed ML, not laboratory experimentation.

Requirements

• Must be currently enrolled full-time at an accredited institution and have completed at least one semester of schooling by the start of the program.
• Must be 18 years or older at the time the appointment begins.
• Must possess a cumulative GPA of 3.0 on a 4.0 scale.
• Must be a U.S. citizen or Legal Permanent Resident at the time of application.
• If accepting an offer, must pass a screening drug test.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed