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Human-Machine Interaction Research Intern, Human Interactive Driving (HID)

Toyota Research Institute
Los Altos, CA Intern
POSTED ON 11/7/2022 CLOSED ON 2/22/2023

What are the responsibilities and job description for the Human-Machine Interaction Research Intern, Human Interactive Driving (HID) position at Toyota Research Institute?

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 via high-risk, high-reward, use-inspired research. To lead a transformative shift in mobility for Toyota, we've built a world-class team in human-centered AI, human interactive driving, energy and materials, machine learning, and robotics. This internship opportunity is a paid 12-week internship for Summer 2023. Please note that this internship will be a hybrid in-office role. Team In the Human-Machine Interaction Research group (HMIR), we design, develop and evaluate novel interfaces to improve the safety, well-being, and performance of drivers using human-centered artificial intelligence. We use the design thinking process to place the human at the center of determining the needs, design, and implementation of human-machine interfaces. By following this process, the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI.  About the Internship As a Research Intern, you will work on a project focused on improving driving safety and performance using the driver's behavioral, cognitive, and emotional states. There will be opportunities to design and run experiments in our driving motion simulator to study how different driver traits and states lead to unsafe driving behaviors, and how human-machine interfaces can be used to improve the driving experience. An ideal candidate should have experience running experiments with human subjects and should be pursuing a Ph.D. in Computer Science, Human-Computer Interaction, Cognitive Science, Psychology, Human Factors Engineering, or related fields. Experience with machine learning, measuring physiological signals (e.g., EDA, heart rate), and eye-tracking is a plus. You will work with a strong team of researchers, and the expected outcome is to have a publication at a human-computer interaction or cognitive science journal/conference. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI provides Equal Employment Opportunity without regard to the applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.

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