Meta AR/VR Job | Research Scientist Intern, Neuromotor Interfaces: HCI (PhD)
Job（岗位）: Research Scientist Intern, Neuromotor Interfaces: HCI (PhD)
Type（岗位类型）: Hardware | Machine Learning, Research
Citys（岗位城市）: New York, NY
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
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 design, prototype, and evaluate novel interaction techniques and user experiences built on human neuromotor signals (i.e., electromyography or EMG).
Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.
Qualifications（岗位要求）
Currently in the process of obtaining a PhD in the field of HCI, Computer Science or related field
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 in AR/VR, graphics, gaming, or other interactive development
Experience developing interactions via gestural, wearable, or ubiquitous computing
Experience developing and running user studies which measure the efficacy of interaction techniques
Description（岗位职责）
Research forward-looking interactions that are uniquely enabled by neuromotor interface technology
Collaborate with neuroscientists and machine learning experts to unlock and perfect new capabilities to build interactions upon
Create prototypes which explore neuromotor interfaces in a variety of environments and situations
Measure and evaluate the performance and qualities of promising interactions
Additional Requirements（额外要求）
Experience working with novel/prototype hardware, sensors, or devices
Familiarity with machine learning algorithms
Familiarity with real-time signal processing (filtering, debouncing, etc.)
Intent to return to degree program after the completion of the internship
