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Summary:

Meta Reality Labs is looking for interns to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. 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 and engineers to perform research into the use of neuromotor signals (i.e. electromyography or EMG) to power the next generation of interaction with the virtual and augmented world. Open research questions on the team span: human motor learning and control; the generation and propagation of the EMG signal; design and optimization of sensor array hardware; and the development of algorithms for processing sensor data to infer user intent using principles of signal processing, control theory, and human-computer interaction. Applicants with a broad range of relevant technical backgrounds, including experimental and theoretical approaches, and multidisciplinary interests, are encouraged to apply. Many of the research methods we employ are analogous to, or drawn from, domains such as artificial speech recognition, brain-machine interface design, computational neuroscience, and array signal processing as used in lidar, radar, sonar, and ultrasound applications. Our internships are twelve (12) to twenty four (24) weeks long, and we have various start dates throughout the year.

Required Skills:

Research Scientist Intern, Neuromotor Interfaces (PhD) Responsibilities:

1. Plan and execute cutting-edge applied research to advance neuromotor interface capabilities.

2. Collaborate with engineering and Human-Computer Interactions (HCI) teams to translate fundamental scientific knowledge into new technology and user experiences.

3. Use quantitative research methods to define, iterate upon and advance key areas of our research agenda.

Minimum Qualifications:

Minimum Qualifications:

4. Currently has, or is in the process of obtaining, a PhD in systems or computational neuroscience, biophysics, physics, electrical engineering (e.g. signal processing, systems theory, control theory), statistics, applied math, computer science, or related fields

5. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

6. Research-oriented implementation skills, including experience with scientific Python, as evidenced by academic or professional research experience or contributions to open source projects

Preferred Qualifications:

Preferred Qualifications:

7. Experience with scientific communication tools (jupyter, matplotlib)

8. Experience designing experiments and creating new datasets

9. Experience working with neural data or other multi-channel timeseries sensor data

10. Familiarity with signal processing including real-time signal processing and sensor fusion

11. Familiarity with physical simulations of electromagnetic signal propagation, including biophysical simulations

12. Experience with multimodal recording systems (e.g. simultaneous measurement of physiology and behavior)

13. Experience with research and engineering in industry

14. Intent to return to degree program after the completion of the internship

Public Compensation:

$7,650/month to $12,134/month + benefits

**Industry:** Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].