As an Applied Electromyography Researcher at Facebook Reality Labs, you will be working on the cutting edge of human-computer interfaces and wearable technology for Augmented and Virtual Reality interfaces. You will work alongside experts in human-computer interaction, material science, body tracking, haptics, human perception, machine learning, and many other disciplines, to create the technology that will change the world.
* Manage the complete workflow of EMG research, from experimental design, to data collection, pre-processing and analysis
Apply current and develop new algorithms for EMG data analysis using best practices in biomedical and neuroscience fields
Develop real-time measurement, decode and control software for EMG signals
Work closely with materials scientists, soft-goods experts, engineers and interactions designers to advance the state of the art in wearable EMG systems
Thrive in a dynamic, ambiguous, fast-paced, and cross-disciplinary environment
* PhD in an biomedical engineering, neuroscience, computer science, mechanical engineering, robotics, signal processing or related field
3+ years experience collecting and processing electrophysiological data (EMG, EEG, MEG, iEEG, ECoG, EKG, etc.)
3+ years experience developing real-time control with electrophysiological systems
* 5+ years experience collecting and processing electrophysiological data
5+ years experience developing real-time control with electrophysiological systems
Strong record of publications and presentations, and deep knowledge of relevant academic communities in robotics, rehabilitation, human computer interaction, wearable technology, and others
Experience with applying machine learning to electrophysiological data
Experience with consumer grade wearable technology
Experience creating and working with custom electrophysiological hardware
Experience working on teams with a wide range of backgrounds and disciplines
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