Research Scientist Intern, Applied Perception Science (PhD)

Job Description:

We are seeking a Research Scientist Intern with expertise in human visual perception, AR display technologies, and computational modeling. This role sits at the intersection of vision science and engineering, with access to hardware, sensors, and resources to pursue fundamental and applied research at scale. You'll tackle questions about how humans perceive the visual world during naturalistic behavior via psychophysical, statistical, and computational methods in order to inform perceptually-aligned system architectures and algorithms. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Build and analyze datasets of visual input during naturalistic behavior Design and conduct psychophysical experiments Develop computational and statistical models of visual perception Leverage AI workflows across the entire research, development, and prototyping stack Translate research findings into guidance for product architecture and design Experience presenting research findings to technical and non-technical audiences Collaborate cross-functionally with researchers and engineers

Candidate Requirements:

Currently pursuing a PhD in Vision Science, Perceptual Psychology, Computational Neuroscience, Computer Science, Applied Mathematics, Engineering, or related field Experience with psychophysical, computational, or statistical approaches to perception Experience designing and conducting human behavioral experiments Experience creating rapid prototype scientific software and work with hardware Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment Intent to return to degree program after completion of the internship/co-op Demonstrated experience developing novel research approaches Demonstrated knowledge in mathematical statistics and ML fundamentals Experience creating large-scale behavioral and/or visual datasets Experience with systems integration across sensors and wearable devices Knowledge of graphics, image processing, and animation pipelines Experience with eye tracking or motion capture Publications at top venues (NeurIPS, CVPR, SIGGRAPH, VSS, Journal of Vision), grants, fellowships, or patents Experience collaborating with cross-functional teams