Metcalf - CPS - RObles Rodriguez, Evan - 2.11.26.

Argonne National Laboratory • Lemont, IL

23h

About The Position

This project will develop agent-based workflows with OpenCode to speed up materials science simulations. We will create a set of practical “playbooks” (agent.md and skills.md) that guide AI assistants to prepare simulation inputs, run calculations, and analyze results in a reliable, repeatable way. The work will use high-performance computing resources and open-weight large language models. Students will learn how to accelerate research with multi-agent approaches and how to deploy state-of-the-art tools on leadership-class supercomputers, including Aurora at Argonne, one of the world’s fastest systems for scientific computing.

Requirements

• The entirety of the appointment must be conducted within the United States.
• Must be 18 years or older at the time the appointment begins.
• Applicants must be: 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.

What This Job Offers

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