Atom | NPS Development of Non-Intrusive Load Monitoring Methodologies and Machine Learning Tools to Identify Cyber Anomalies in Naval Power Systems

Funder: NRC Research Associateship Programs

Due Dates: May 1, 2025 (Close date)

Funding Amounts: Base stipend approximately $67,000 plus $3,000 travel allowance; supplements based on experience; typical duration 2-3 years.

Summary: Postdoctoral and senior researchers will develop machine learning and non-intrusive load monitoring methodologies to detect cyber anomalies in naval power systems, addressing challenges of space and complexity in shipboard and naval installations.

Key Information: US citizenship with SECRET clearance preferred for Phase 2 classified work; foreign nationals limited to Phase 1; interdisciplinary collaboration with Naval organizations; relocation and health insurance benefits included.

NPS Development of Non-Intrusive Load Monitoring Methodologies and Machine Learning Tools to Identify Cyber Anomalies in Naval Power Systems

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