Super Inteligence Assisted Modeling and Simulation Intern
Idaho National Laboratory • Idaho Falls, ID10d • $27 - $41 • Onsite
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Super Inteligence Assisted Modeling and Simulation Intern - Summer 2027
Idaho National Laboratory•Idaho Falls, ID
•$27 - $41•Onsite
About The Position
This Summer 2027 internship will advance MOOSEnger, a simulation-aware AI-agent framework designed to automate 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. Areas of focus include automated model generation, simulation execution, error diagnosis, and verification. The position reports to the Multiphysics Computational Frameworks team. The team works an onsite 9x80 schedule at the Idaho Falls Campus. The internship start date and duration vary based on 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 the agentic capabilities of the MOOSEnger framework.
- Build AI-agent workflows for multiphysics modeling and simulation.
- Integrate simulation tools and domain knowledge into agent workflows.
- Evaluate agent performance on representative multiphysics problems.
- Work closely with INL computational scientists.
Benefits
- Paid holiday time off.
- Travel reimbursement may be available for eligible interns.
- Course credit may be available if approved by the university.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
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