SULI - NST - Imam, Asad - 6.19.26

Argonne National Laboratory • Lemont, IL

2d • Onsite

About The Position

This project develops AI-driven and multimodal machine-learning approaches for the autonomous discovery of metastable quantum materials synthesized by epitaxial thin-film growth. Students will work with synchronized datasets from X-ray diffraction, electron diffraction, optical spectroscopy, microscopy, and growth metadata collected during Argonne experiments. The project focuses on multimodal foundation models, physics-informed ML, phase classification, data fusion, and next-step synthesis prediction. The work is computational and data-focused, providing training in AI/ML for scientific discovery, quantum materials, and autonomous experimentation.

Requirements

• Currently enrolled in undergraduate or graduate studies at an accredited institution.
• Graduated from an accredited institution within the past 3 months; or
• Actively enrolled in a graduate program at an accredited institution.
• 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, candidates may be required to complete pre-employment drug testing based on appointment length.
• All students remain subject to applicable drug testing policies.

What This Job Offers

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