Human in the Loop Optimization of Adaptive Human-Technology Systems

The Army Research Laboratory Research Associateship Program (ARL-RAP) is offering a postdoctoral/research fellow position focused on the development and implementation of EEG-based, passive brain-computer interfaces (BCIs) for optimization of human-machine teams, such as exoskeletons for physical augmentation in defense applications. The aim is to leverage EEG signals and other biosignals to passively estimate the user's state (cognitive load, physical load, perceived error) to facilitate interaction between humans and adaptive systems. The fellow will be part of a multidisciplinary team of neuroscientists, biomedical/mechanical engineers, and biomechanists working at the intersection of computational neuroscience, mobile brain-body imaging, and human machine integration research to implement closed-loop, passive BCIs to achieve human-system mutual adaptation. The position supports the goal of developing a test bed to demonstrate and enable research in the area of human in the loop optimization of adaptive human-system teams. The postdoctoral fellow will have the opportunity to design and carry out human subjects experimentation to uncover novel biosignal based metrics that track human-system performance in mobile scenarios.