Research Scientist Driver Impairment Detection and Intervention
Research Scientist Driver Impairment Detection and Intervention
Posted on :
07-04-2025
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1 Vacancy
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Job Description
At Toyota Research Institute (TRI) were on a mission to improve the quality of human life. Were developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility weve built a worldclass team in Energy & Materials HumanCentered AI Human Interactive Driving Large Behavioral Models and Robotics.
The Human Aware Interactions and Learning team uses approaches from machine learning robotics and computer vision along with insights from human factors literature to devise new techniques that improve on the state of the art towards better machine understanding prediction and interactions with people in the driving domain both in and around the vehicle. We work with computational and cognitive researchers to test our approaches from a variety of data sources and humanintheloop experiments to devise ML approaches that work with the driver.
We are seeking a Research Scientist to lead groundbreaking research at the intersection of machine learning computer vision and human factors. This role focuses on understanding detecting and developing intervention strategies for driver impairments such as cognitive distraction and intoxication. The ideal candidate will contribute to fundamental research publish in toptier venues and build machine learning models and prototypes that integrate humanintheloop data towards novel approaches for understanding and assisting drivers under diverse situations.
This is an opportunity to work on innovative research in humanrobot interaction and intelligent vehicle systems in a collaborative and interdisciplinary team of experts in robotics AI and human factors. You will have access to innovative robotic platforms and simulation tools with the potential to contribute to academic publications and impactful realworld applications.
Responsibilities
- Conduct original research on driver impairment detection and intervention (e.g. warning coaching actuation) using machine learning and computer vision.
- Develop algorithms and models to analyze driver behavior physiological signals and other multimodal inputs.
- Design implement and conduct humanintheloop behavioral studies ensuring robustness and realworld applicability.
- Publish findings in highimpact conferences and journals.
- Collaborate with interdisciplinary teams including human factors experts cognitive scientists and engineers.
- Prototype and validate MLbased intervention strategies to enhance driver safety and performance.
Qualifications
- PhD in Computer Vision Machine Learning HumanCentered AI or a related field.
- Research experience in human and machine vision behavior analysis or multimodal learning.
- Strong publication record (e.g. CVPR NeurIPS ICCV ICLR).
- Experience working with humanintheloop data: data collection annotation strategies and model training.
- Proficiency in deep learning frameworks (e.g. PyTorch Jax Hugginface) and data analysis tools.
- Ability to work both independently and as part of an interdisciplinary team.
Bonus Qualifications
- Experience in developing realtime AI systems for human monitoring.
- Familiarity with physiological and cognitive state estimation (e.g. eye tracking EEG heart rate variability).
- Background in human factors cognitive psychology or related fields.
- Experience deploying machine learning models in realworld environments.
- Knowledge of software development industry practices (version control CI/CD documentation).
Please submit a brief cover letter and add a link to Google Scholar to include a full list of publications when submitting your CV for this position.
Please reference thisCandidate Privacy Noticeto 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 is fueled by a diverse and inclusive community of people with unique backgrounds education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all without regard to an applicants 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.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance we will consider qualified applicants with arrest and conviction records for employment.
Employment Type
Full-Time
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