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Toyota Research InstitutePosted yesterday

Future Product Innovation Research Intern, Human Computer Interaction

Los Altos, CAOn-siteInternship

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. This is a paid 12-week internship opportunity and is a hybrid, in-office role. Here’s a glimpse into the Internship experience from some of our TRI interns!

Responsibilities In collaboration with your mentor and the other researchers in the department, you will: Scope the project to align to the core research efforts; Be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors; Execute the project using TRI resources; and Present the project’s approach and findings in research meetings. Qualifications Currently enrolled in a PhD program in Human Computer Interaction, Computer Science, or a related field. Experience analyzing behavioral signals, such as eye gaze, mouse interactions, verbal utterances, and interaction logs, to infer and model user intent and preferences. Experience designing and developing interactive research prototypes to investigate novel human-AI interaction paradigms. Experience designing and conducting human-subject studies, including collecting and analyzing behavioral interaction data using quantitative and/or qualitative methods. Proven track record of working autonomously while soliciting feedback. Proven track record of publications at top venues (e.g., CHI, UIST, IUI, UbiComp/IMWU. Strong interpersonal skills and a great teammate. Strong interest in interdisciplinary work. Preferred Qualifications Experience developing adaptive AI experiences from inferred preferences. Familiarity with implicit preference modeling, consumer decision making, personalized recommendation systems, or user modeling.

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