Visiting Student - NSE - Prantikos, Konstantinous - 3.18.2026

Argonne National Laboratory • Lemont, IL

1d

About The Position

This project will apply advanced artificial intelligence and machine learning (AI/ML) tools to automate the analysis of large nondestructive examination (NDE) datasets from in-service inspections for interpretation of measurements made with eddy current (EC) array probes used on pressurized water reactor (PWR) steam generator tubes. The objective is to deploy AI/ML for explainable for interpretation of detection and classification of active damage and degradation in steam generator tubes, and to build comprehensive training datasets by combining existing Argonne data with newly synthesized data generated using in-house software to improve AI/ML performance and reliability.

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