Visiting Student-Subcontractor - MCS - Rodriguez Quinonez, Pablo - 12.22.25.

Argonne National Laboratory • Lemont, IL

2d

About The Position

The objective is to develop a multimodal AI foundation model capable of planning, recommendation, anomaly detection, and scenario simulation across complex energy and critical infrastructure systems. The FM will integrate diverse and heterogeneous data sources, including hazards, infrastructure networks, supply chains, and operational data into a unified AI-driven framework, enabling intelligent analysis, knowledge synthesis, and autonomous reasoning.

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: Part-time
• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees