Research Intern, Cognitive Neuroscience (PhD University Student)
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities â€" we're just getting started.
Facebook Reality Labs is looking for an intern to help us to invent technologies for interacting with augmented reality (AR) and virtual reality (VR) devices. Understanding aspects of the human cognitive system, such as memory, attention, and decision making, is central to our ability to design adaptable AR systems. Facebook Reality Labs is looking for researchers with expertise in human cognition to help guide the design of systems and content for interactive user experiences. In this role, you will work with world-leading collaborators and methods in cognitive science and neuroscience fields to develop computational models to improve our understanding of the cognitive system and its interaction with futuristic technologies.
Our internship is sixteen (16) to twenty-four (24) weeks long and we have various start dates throughout the year.
- Plan and execute cutting-edge research to advance AR/VR interaction technologies by drawing on scientific understanding of human memory and/or attention.
- Collaborate with other researchers to develop a research project and analysis plan that can better define ways in which users might interact with augmented reality systems.
- Use quantitative research methods to analyze user research data, including data from biosignals such as EEG, eye-tracking, pupillometry, GSR, etc. and design predictive models.
- In the process of obtaining a PhD degree in the field of cognitive neuroscience, cognitive science, psychology, machine learning, human-computer interaction, or related field.
- Currently enrolled in a full-time PhD program and returning to the program after the completion of the internship.
- Track record of successful research on human cognition and of successful analysis of EEG or eye-tracking data.
- Research skills involving defining problems, exploring solutions, and analyzing and presenting results.
- Proficiency in R, Matlab, or Python.
- Interpersonal experience: cross-group and cross-culture collaboration
- Able to obtain work authorization in the US between January 1, 2019 and December 31, 2019.
- Familiarity with applying machine learning models to complex data.
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