Super Inteligence Assisted Modeling and Simulation Intern - Summer 2027

Idaho National Laboratory • Idaho Falls, ID

9d • Onsite

About The Position

This Summer 2027 internship focuses on advancing MOOSEnger, a simulation-aware AI-agent framework that automates multiphysics modeling and simulation workflows within the MOOSE ecosystem. The intern will work with Idaho National Laboratory computational scientists to build AI-agent workflows, integrate simulation tools and domain knowledge, and evaluate agent performance on representative multiphysics problems. The work supports the use of advanced nuclear energy systems modeling and simulation tools to evaluate performance, safety, and operational behavior. The role reports to the Multiphysics Computational Frameworks team and is onsite at INL’s Idaho Falls Campus. The team works a 9x80 schedule. The internship start date and duration vary according to project and student availability. Course credit may be available if approved by the student’s university.

Requirements

• Be enrolled full time in an undergraduate, master’s, or doctorate degree program at an accredited college or university, studying nuclear engineering, computer engineering, computer science, or a related engineering field.
• Have a minimum overall GPA of 3.0.
• Be authorized to work in the United States, including through CPT or OPT.
• Provide a current resume or CV.
• Provide unofficial transcripts, including current and completed degree programs.
• Provide a current class schedule and number of credits.

Nice To Haves

• Experience or coursework in programming languages such as Python and C++.
• Familiarity with machine learning, large language models (LLMs), or AI agents.
• Interest in scientific computing, numerical simulation, and multiphysics modeling.
• Strong problem-solving skills and ability to work collaboratively in a research environment.

Responsibilities

• Advance MOOSEnger's AI-agent capabilities, including automated model generation, simulation execution, error diagnosis, and verification.
• Build AI-agent workflows with INL computational scientists.
• Integrate simulation tools and domain knowledge into agent workflows.
• Evaluate agent performance on representative multiphysics problems.

Benefits

• Hourly compensation varies by degree level: undergraduate internships pay $26.94–$32.41; master’s internships pay $35.34–$37.73; PhD pre-candidacy internships pay $36.83–$39.33; and PhD post-candidacy internships pay $38.65–$41.29.
• Course credit may be available if approved by the student’s university.

What This Job Offers

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