Summer 2026

Nuclear Facility Intern

Posted on 4/4/2026

Argonne National Laboratory

Argonne National Laboratory

5,001-10,000 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)

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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

5,001-10,000

Company Stage

Grant

Total Funding

$19.7M

Headquarters

Lemont, Illinois

Founded

1946

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Simplify Jobs

Simplify's Take

What believers are saying

  • Expansion of Tara and Minerva increases AI-in-science capacity.
  • APS upgrade boosts materials characterization demand after downtime ends.
  • Battery, climate, and nuclear programs align with long-duration DOE priorities.

What critics are saying

  • APS upgrade downtime delays experiments and weakens a flagship facility.
  • Vendor dependence on OpenAI, Google, Meta, and SambaNova raises operating risk.
  • Competing DOE labs will erode Argonne's AI-science differentiation quickly.

What makes Argonne National Laboratory unique

  • APS and Aurora anchor Argonne's user-facility and exascale platform advantage.
  • ChemGraph automates computational chemistry with natural-language workflow orchestration.
  • Private inference services monetize spare supercomputing capacity across DOE labs.

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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

-2%

1 year growth

-2%

2 year growth

-2%
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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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