Summer 2026

Nuclear Facility Intern

Posted on 4/4/2026

Argonne National Laboratory

Argonne National Laboratory

1,001-5,000 employees

Advanced scientific research and computing facilities

No salary listed

No H1B Sponsorship

Woodridge, IL, USA

In Person

US Citizenship Required

Category
Data & Analytics (1)
Requirements
  • Must be currently enrolled full-time at an accredited institution and have completed at least three semesters of schooling by the start of the program
  • Must be 18 years or older at the time the appointment begins
  • Must possess a cumulative GPA of 3.0 on a 4.0 scale
  • Must be a U.S. citizen or Legal Permanent Resident at the time of application
  • Must pass a screening drug test if accepting an offer
Responsibilities
  • Data Validation: Use industry standard neutron transport and modeling tool ORIGEN to calculate decay and daughter products for a variety of isotopes for comparison with an existing dataset of similar calculations
  • Application Validation: Execute testing instructions to validate and verify custom safety software for tracking and managing radioactive material
  • Spreadsheet Development: Create and use spreadsheets to compare and contrast ORIGEN results and organize information
  • Technical Writeup: Create a professional document discussing the methods and results of the data validation
Desired Qualifications
  • Advanced Microsoft Excel (formulas, cell protection, auditing)
  • Data analysis and verification
  • Basic scripting or automation (e.g., Python) and data mining are highly desired
  • Strong adherence to detailed instructions
  • Process & Systems Thinking: Interest in understanding how technical tools support regulated processes, quality assurance, and compliance
  • Innovation & Automation: Interest in exploring where automation or AI-assisted tools can improve efficiency, consistency, or review effectiveness
Argonne National Laboratory

Argonne National Laboratory

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Argonne National Laboratory advances scientific discovery and sustainability by providing access to large-scale research facilities and high-performance computing for government, academia, and industry partners. Researchers use the Advanced Photon Source for atomic-level materials studies and the Argonne Leadership Computing Facility for complex simulations and data analysis. The lab differentiates itself through its shared-use, multi-institution partnerships and a focus on eco-innovation, net-zero goals, and AI accelerator development. Its aim is to address real-world energy, materials, and data science challenges by combining cutting-edge infrastructure with collaborative research efforts.

Company Size

1,001-5,000

Company Stage

Grant

Total Funding

$19.7M

Headquarters

Lemont, Illinois

Founded

1946

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Simplify's Take

What believers are saying

  • AI inference service monetizes spare supercomputer capacity for DOE researchers.
  • GridMind targets utility operators with explainable natural-language control-room support.
  • Polybot accelerated materials discovery from 4,300 combinations to 64 experiments.

What critics are saying

  • Federal appropriations pressure can defer facility upgrades and staffing.
  • Commercial AI and utility software vendors can outcompete research prototypes.
  • Accelerator procurement delays can slow AI capability upgrades and user access.

What makes Argonne National Laboratory unique

  • DOE multidisciplinary lab with >1,000 scientists and major user facilities.
  • Operates Advanced Photon Source and Argonne Leadership Computing Facility.
  • Combines industry, academia, and government collaborations on national challenges.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Paid Vacation

Paid Sick Leave

Paid Holidays

Remote Work Options

Flexible Work Hours

401(k) Retirement Plan

401(k) Company Match

Professional Development Budget

Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

2%
Business Wire
Mar 26th, 2026
Argonne Lab develops GridMind AI agent to support power grid operators

Researchers at the US Department of Energy's Argonne National Laboratory have developed GridMind, an agentic AI system designed to assist power grid operators through natural language interaction. The system functions as a reasoning co-pilot for control rooms, simplifying complex grid management tasks. GridMind employs a multi-agent architecture where specialised AI agents handle different functions, such as power scheduling and weather-based contingency planning. Large language models coordinate these agents to analyse situations, reason across different tasks and provide explainable recommendations. The system transforms technical analysis into conversational support whilst maintaining rigorous accuracy. Tests on standard power grid models demonstrated that GridMind consistently produced correct results across multiple state-of-the-art language models. The technology aims to accelerate decision-making by integrating disconnected workflows into a coherent reasoning engine.

Yahoo Finance
Mar 11th, 2026
AI adviser helps Argonne's robotic lab discover advanced electronic materials in just 64 experiments

A research team led by the US Department of Energy's Argonne National Laboratory has developed an AI adviser that optimises machine learning algorithms during autonomous experiments, accelerating discovery of advanced electronic materials. The system was applied to Polybot, Argonne's AI-guided robotic laboratory, to investigate mixed ion-electron conducting polymers for wearable electronics and energy storage. The adviser evaluates algorithm performance in real time and communicates insights to scientists who refine experimental plans. It reduced the study to just 64 experiments from over 4,300 possible combinations. During testing, the adviser suggested switching AI algorithms, leading to significant performance improvements, and identified deposition speed as a key performance driver. The research was published in Nature Chemical Engineering and included collaborators from the University of Chicago, Lawrence Berkeley National Laboratory and other institutions.

Techable
Nov 21st, 2020
アルゴンヌ国立研究所、1万個以上のセンサーを使って交通状況を瞬時に予測!

米国エネルギー省(DOE)のアルゴンヌ国立研究所の研究者らは、ローレンスバークレー国立研究所が主導するモビリティシステムの設計・計画に関するプロジェクトの一環として、交通状況を予測するAIシステムを開発中だ。

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