Human in the Loop Optimization of Adaptive Human-Technology Systems

About the Research

We have an open position for a postdoctoral/research fellow to work 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 will be to leverage EEG signals and/or other biosignals to passively estimate the user’s state (i.e. cognitive load, physical load, perceived error) to facilitate interaction between humans and adaptive systems. The postdoctoral/research fellow will be part of a multidisciplinary team of neuroscientists, biomedical/mechanical engineers, and biomechanists and work 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. This position is best suited for an individual with a broad computational background interested in online classification of human state via EEG and/or other biosignals and integration with closed-loop systems. The candidate will support 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 also 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.

Required skills

- MS/PhD or equivalent in neuroscience, biomedical engineering, computer science, or related fields - Expertise in machine-learning and/or online BCI - Advanced programming skills (i.e. Python, Matlab, R) and strong experience in algorithmic design, mathematical models, and signal processing - Excellent verbal and written communication skills - Strong publication record - Ability to work effectively both independently and in collaboration with multiple investigators

Desired skills

- Experience collecting and analyzing EEG - Advanced signal processing experience - Human subjects research experience