Multi-modal Sensing and Human-Machine Integration for Adaptive AI in Tactical Environments

The Army Research Laboratory Research Associateship Program (ARL-RAP) has an open position for a postdoctoral research fellow to investigate multi-modal sensor-fusion approaches for understanding human behavior in realistic environments to facilitate human-AI adaptation at the tactical edge. The aim of the project will be to leverage advanced analytics on human-derived signals from diverse systems to passively predict actions and estimate user state such that future AI platforms for dismounted Soldiers can quickly adapt to the changing needs of the Soldier and squad. The research fellow will be a part of a multi-disciplinary team of cognitive psychologists, neuroscientists, engineers, and data scientists that will conduct research to understand the relationship between critical behaviors and relevant data/metrics from wearables (physiological and biomechanical), AR/VR systems, and other off body systems across controlled laboratory studies and operational field exercises. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.