Postdoc: Multi-Modal Sensing & Human‑AI Adaptation

ORAU; Colorado Springs (CO); On-site; USD 60,000 - 80,000; Full time

Job summary

ORAU in Colorado Springs is seeking a postdoctoral research fellow to explore sensor-fusion methods for understanding human behavior in realistic environments. This role involves leading research and developing machine-learning models to predict user actions and states.

Ideal candidates will have a PhD (or near completion) in a related field and a strong background in wearables and machine learning. Excellent communication skills and the ability to work independently are essential. Citizenship is restricted to U.S. Citizens only.

Qualifications

• PhD (or near completion) in engineering, computer science, data science, neuroscience, psychology, or a related field.
• Strong background in wearables, bio‑signals, and machine‑learning analytics.
• Demonstrated ability to conduct independent research and publish in peer-reviewed venues.

Responsibilities

• Lead research on sensor‑fusion techniques using physiological, biomechanical, AR/VR, and other wearable data.
• Collaborate with a multidisciplinary team of cognitive psychologists, neuroscientists, engineers, and data scientists.
• Prepare and present research findings in internal reports and external scientific venues.

Skills

Wearables

Machine learning

Bio-signals

Reinforcement learning

Communication skills

Education

PhD or near completion in relevant field

Job description

ORAU in Colorado Springs is seeking a postdoctoral research fellow to explore sensor-fusion methods for understanding human behavior in realistic environments. This role involves leading research and developing machine-learning models to predict user actions and states.

Ideal candidates will have a PhD (or near completion) in a related field and a strong background in wearables and machine learning. Excellent communication skills and the ability to work independently are essential. Citizenship is restricted to U.S. Citizens only.