Research Scientist Intern, Neuromotor Interfaces: Signal Processing (PhD)

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Research Scientist Intern, Neuromotor Interfaces: Signal Processing (PhD)
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New York, NY
Facebook Reality Labs is looking for interns to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. This technology could become one of the main pillars for interaction with the virtual and augmented world. Help us unleash human potential by removing the bottlenecks between user intent and action. In this role you will embed with a world-class, multi-disciplinary team of researchers to investigate the nature of human neuromotor signals (i.e., electromyography or EMG), develop novel signal processing and machine learning methods to infer a user’s intent, and create novel interaction techniques and user experiences. EMG signals are similar in many ways to audio and can be analyzed using many of the same approaches, although they are generated through very different mechanisms. For example, the task of transcribing characters typed on a keyboard from wrist-based EMG is closely analogous to that of automatic speech recognition.

Our internships are twelve (12) to twenty four (24) weeks long, and we have various start dates throughout the year.
Research Scientist Intern, Neuromotor Interfaces: Signal Processing (PhD) Responsibilities
  • Build cutting-edge models to advance neuromotor interface capabilities.
  • Collaborate with engineering and Human-Computer Interactions (HCI) teams to deploy models that leverage fundamental scientific knowledge into new technology and user experiences.
  • Use quantitative research methods to define, iterate upon and advance key areas of our research agenda.
Minimum Qualifications
  • Currently has, or is in the process of obtaining a PhD, in one or more of the following fields: machine learning, speech and language technologies, signal processing, electrical engineering, computer science, statistics, physics, or related fields.
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
  • Strong research-oriented implementation skills, including fluency in scientific Python and PyTorch.
  • Experience with speech enhancement, speech recognition, speech synthesis, audio source separation, audio event detection and classification, audio scene recognition, or related topics.
Preferred Qualifications
  • Intent to return to degree program after the completion of the internship.
  • Experience with scientific communication tools (jupyter, matplotlib).
  • Experience with multi-channel array processing, microphone arrays, beamforming, or related topics.
  • Experience in software engineering in industry.
  • Experience with real-time signal processing.
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