Visiting Student - NSE - Abdussami, Md Rafiul - 5.12.26

Argonne National Laboratory • Lemont, IL

2d • Onsite

About The Position

The scope of work includes contributions to Argonne's research on the techno-economic evaluation and optimization of nuclear-powered data centers. Specifically, the appointee will support the integration of techno-economic, water resource, and grid reliability modeling tools into a coupled analytical workflow, with an emphasis on developing and applying an agentic AI-driven framework to enhance model coordination, automation, and decision-making. This work will directly contribute to case study analyses evaluating nuclear–data center coupling configurations, as well as to the development of technical summaries and peer-reviewed publications.

Requirements

• Must be 18 years or older at the time the appointment begins.
• Currently enrolled in undergraduate or graduate studies at an accredited institution.
• Graduated from an accredited institution within the past 3 months.
• Actively enrolled in a graduate program at an accredited institution.
• The entirety of the appointment must be conducted within the United States.

Responsibilities

• Support the integration of techno-economic, water resource, and grid reliability modeling tools into a coupled analytical workflow.
• Develop and apply an agentic AI-driven framework to enhance model coordination, automation, and decision-making.
• Contribute to case study analyses evaluating nuclear–data center coupling configurations.
• Contribute to the development of technical summaries and peer-reviewed publications.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree