A post-doc position (funded for 3+ years) is available immediately in the field of Brain-Computer Interface / Neural Engineering research

The successful candidate will be part of the Brain-Computer Interface (BCI) Research and Development Program at the Wadsworth Center in Albany, New York.  The research will primarily involve the use of signals recorded from the surface of the brain (electrocorticography (ECoG)) in humans to decode specific aspects of human cognition or behavior from ECoG signals, and to use these signals for communication/control, or brain monitoring.  The goal of this project is to use ECoG signals to decode kinematic parameters of hand/finger function, or other types of cognitive/motor parameters, and to build a system that extracts and uses these signals in real time.  This real-time implementation will be based on our BCI2000 system (http://www.bci2000.org), which has become the standard in the field of BCI research and has already been provided to about 500 laboratories around the world.

Required expertise is a solid background in signal processing, in particular time series/spectral analyses, classification, and machine learning, and excellent programming expertise in Matlab.  Additional desired expertise is a solid understanding of neuroscience, in particular in attentional/intentional/motor systems, and programming experience in C/C++.

Applicants should send a CV, a brief statement of background and goals, and two reference letters to Dr. Gerwin Schalk (http://www.wadsworth.org/resnres/bios/schalk.htm) at schalk@wadsworth.org. Review of applications will start immediately and continue until the position is filled.

The BCI program at the Wadsworth Center is recognized world-wide for its EEG- and ECoG-based BCI research. The Wadsworth Center has been named one of the "Best Places to Work for Postdocs" and one of the "Best Places to Work in Academia" by The Scientist magazine.