Research Scientist Intern, AI-Driven Neural Interfaces (PhD)

About the job

Reality Labs at Meta is looking for PhD research interns to advance our pioneering work in neural interfaces, which grew out of the acquisition of CTRL-labs. We're building a practical interface that draws on rich signals measured non-invasively from the body, including surface electromyography (EMG), inertial measurement units (IMU), and photoplethysmography (PPG). This technology could become one of the main pillars for interaction with virtual and augmented realities. Help us unleash human potential by removing the bottlenecks between user intent and action. In this role you will join a world-class, multi-disciplinary team of researchers. You'll investigate the nature of human neuromotor and other sensor signals, develop new signal processing and machine learning methods to infer a user's intent, and help create AI-first new interaction techniques and user experiences. Our internships are twelve (12) to twenty-four (24) weeks long, and we have various start dates throughout the year.

Responsibilities

Research and develop neural networks, machine learning, or other computational models that use EMG, IMU and other relevant sensor data to advance neural interface capabilities. Design methods, tools, and infrastructure to analyze and make use of rich multimodal datasets. Adapt machine learning methods to modern parallel computing environments (e.g., distributed clusters and GPUs). Work with engineering and Human-Computer Interaction (HCI) teams to turn research into new technology and user experiences. Use quantitative research methods to define, iterate on, and advance key areas of our research agenda.