This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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.
Job Responsibility:
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
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
Nice to have:
Demonstrated experience developing novel research approaches
Demonstrated knowledge in mathematical statistics and ML fundamentals