Principal Investigator – AI-Enabled Aircrew Human Performance & Readiness

Remote • Posted 9 hours ago • Updated 9 hours ago
Full Time
No Travel Required
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • Aerospace
  • Artificial Intelligence
  • Analytics
  • Collaboration
  • Aviation
  • Machine Learning (ML)
  • Signal Processing
  • Research
  • Human Factors And Ergonomics
  • DoD
  • Design Of Experiments

Summary

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. 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10356952
  • Position Id: 9084749
  • Posted 9 hours ago
Contact the job poster
Allan David

Allan David

Recruiter @ Arch Systems, LLC
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