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As the NPP technology and cybersecurity SME, you would be the team's authority on how nuclear plant systems work and how NRC cybersecurity requirements apply to them. Specifically, you would help:

• Assess existing literature and technical basis on AI/ML use in the nuclear industry and identify representative use cases. The NRC has clarified it wants deeper analysis of a smaller number of use cases rather than a broad survey.
• Identify unique cybersecurity considerations: new attack vectors, vulnerabilities, and mitigation strategies for AI/ML in critical digital assets.
• Evaluate those considerations against Regulatory Guide 5.71, identifying where controls could be enhanced and where gaps exist.
• Contribute to a draft evaluation framework covering criteria for secure AI/ML use, applicable security controls, and any control tailoring. The framework should account for guidance in RG 5.71 and requirements in 10 CFR 73.110 and RG 5.96
• Contribute to interim letter reports and the final technical letter report.

Scope notes from the NRC's Q&A: AI/ML embedded in COTS digital I&C products is in scope. Lessons from other safety-critical sectors, particularly industrial control systems and critical infrastructure, are encouraged. No hands-on testing or evaluation of AI/ML implementations is expected; this is a literature-based and analytical effort.

• Demonstrated experience performing work related to NPP cybersecurity, including regulation, research, evaluation, or implementation of NPP cybersecurity programs
• Demonstrated knowledge of NPP systems and the application of cybersecurity programs to those systems
• Detailed knowledge of NRC NPP cybersecurity regulations and guidance (10 CFR 73.54, RG 5.71; familiarity with the proposed Part 53 / 73.110 framework is valuable)
• Hands-on experience physically working inside a nuclear power plant, not only classroom or desk-based exposure
• Direct experience identifying digital assets subject to 10 CFR 73.54
• Direct experience mapping those assets against RG 5.71 appendix controls
• A track record of producing findings packages delivered to regulatory staff
• This experience can come from a consulting firm, a utility, or a lab — what matters is having actually applied these controls in a real plant

• Period of performance: immediately through 26 August 2027
• Level of effort: Part-time
• Location: Remote with one (1) possible travel to customer site
• Clearance/access: No clearance or plant site access is required 

Client: U.S. Nuclear Regulatory Commission (NRC), Office of Nuclear Regulatory Research

The NRC is funding research to establish a technical basis for addressing cybersecurity concerns raised by AI/ML technologies in commercial nuclear power plants, both currently operating reactors and new/advanced designs. The findings are intended to inform regulatory guidance that is risk-informed, technology-inclusive, and performance-based.