Nuclear Digital Twin & AI Research Intern

Southern Arkansas University; Idaho Falls (ID); On-site; USD 34,000 - 55,000; Full time

Job summary

A leading research institution is seeking a graduate student for a Summer 2026 internship in Nuclear Engineering. The role involves developing AI and machine learning methods to enhance digital twin-based supervisory control systems. Candidates should be enrolled in a Ph.D. program with strong analytical skills and familiarity with Python. This internship offers hands-on research experience, with a flexible start date and a unique schedule allowing for every other Friday off. Course credit may also be available.

Qualifications

• Enrolled full time in a Ph.D. program in Nuclear Engineering or a closely related field.
• Minimum 3.0 GPA and authorization to work in the U.S. (including CPT/OPT).
• Coursework or experience in modeling & simulation, machine learning, verification & validation, and uncertainty quantification.

Responsibilities

• Integrate active learning, reinforcement learning, and multi-agent AI systems into a digital twin framework.
• Design and implement methods for discrepancy detection and diagnosis.
• Analyze simulation and sensor data, develop ML models in Python.

Skills

Reinforcement learning

Active learning

Digital twins

Machine learning

Analytical skills

Education

Ph.D. program in Nuclear Engineering or related field

Tools

Python

Job description

A leading research institution is seeking a graduate student for a Summer 2026 internship in Nuclear Engineering. The role involves developing AI and machine learning methods to enhance digital twin-based supervisory control systems. Candidates should be enrolled in a Ph.D. program with strong analytical skills and familiarity with Python. This internship offers hands-on research experience, with a flexible start date and a unique schedule allowing for every other Friday off. Course credit may also be available.