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Principal Investigator – AI-Enabled Aircrew Human Performance & Readiness

Arch Systems, LLCUnited States🇺🇸United StatesPosted 15 Sept 2026

Quick Overview

Seniority
Leader
Work mode
Remote
Location
United States
Posted
18 hours ago

Job Description

Role: Principal Investigator – AI-Enabled Aircrew Human Performance & Readiness 
Company: Arch Systems
Client: US Federal Govt.
Location: Remote
Type: Full-time
 
Important: A Ph.D. and prior U.S. Federal Government project experience are mandatory requirements for this position. Candidates who do not meet both requirements will not be considered.
 
Arch Systems is seeking a Principal Investigator to lead research and technical execution for an advanced AI-enabled Naval Aircrew human-performance and readiness program. The PI will lead the design, feasibility evaluation, and transition of a multimodal intelligence capability that combines physiological, behavioral, performance, and human-system data to detect and forecast emerging cognitive, physical, and psychological vulnerabilities while providing explainable evidence to aeromedical professionals. 
 
Key Responsibilities 
  • Lead technical and scientific direction of the AERIS Phase I research program. 
  • Define research hypotheses, experiments, validation methods, and measurable feasibility criteria. 
  • Guide development of personalized multimodal models using physiological, gaze, performance, and contextual data. 
  • Oversee methods for time-series modeling, sensor fusion, uncertainty calibration, explainability, and selective prediction. 
  • Ensure scientific rigor in subject-disjoint evaluation, ablation, robustness, and false-alert analysis. 
  • Collaborate with AI/ML engineers, software developers, aviation/human-factors SMEs, and aeromedical experts. 
  • Support Phase II planning for human-subject validation, simulator/sensor integration, and operational transition. 
  • Provide technical leadership for SBIR deliverables, Government reviews, demonstrations, and research documentation. 
Required Qualifications 
  • PhD strongly preferred in Human Factors, Biomedical Engineering, Electrical/Computer Engineering, Cognitive Science, Aerospace Engineering, Neuroscience, AI/ML, or related discipline. 
  • 8–12+ years of relevant R&D experience. 
  • Demonstrated experience in one or more of: multimodal ML, physiological signal processing, human-state estimation, cognitive workload, sensor fusion, predictive analytics, or trustworthy AI. 
  • Strong experimental-design and statistical-validation background. 
  • Experience leading multidisciplinary technical teams and applied research programs. 
Highly Preferred 
  • Prior work with Navy, NAVAIR, NAWCAD, NAMI, NHRC, NAMRU, ONR, AFRL, NASA, FAA, or other DoD human-performance organizations. 
  • Research involving aircrew, pilots, aviation simulators, aerospace physiology, fatigue, spatial disorientation, cognitive workload, eye tracking, or human-automation interaction. 
  • Peer-reviewed publications and/or patents in human performance, multimodal sensing, physiological analytics, AI/ML, or aviation human factors. 
  • SBIR/STTR or Federal R&D proposal and execution experience. 
  • Familiarity with IRB/HRPO and human-subject research requirements. 

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