Research Scientist, Driver Impairment Detection and Intervention

Research Scientist - Driver Impairment Detection and Intervention 🚗🧠

Join Toyota Research Institute (TRI) in Cambridge, MA, and be a part of our mission to enhance the quality of human life through innovative research in human interactive driving. We're on the lookout for a dynamic Research Scientist to lead pioneering research that leverages machine learning, computer vision, and human factors for driver impairment detection and intervention.

About the Role:
You will delve into understanding, detecting, and creating intervention strategies for driver impairments, including cognitive distractions and intoxication. Collaborate in a cutting-edge environment with access to advanced robotic platforms and simulation tools, contributing to impactful academic publications and practical applications.

Key Responsibilities:

• Conduct original research on driver impairment detection and intervention techniques (e.g., warnings, coaching, actuation) utilizing machine learning and computer vision.
• Develop algorithms and models to analyze driver behavior, physiological signals, and integrate multimodal inputs.
• Design and perform human-in-the-loop behavioral studies for practical real-world applicability.
• Publish findings in prestigious conferences and journals.
• Collaborate with experts in human factors, cognitive sciences, and engineering to enhance research outcomes.
• Prototype and validate ML-based strategies aimed at improving driver safety and performance.

Qualifications:

• PhD in Computer Vision, Machine Learning, Human-Centered AI, or related domains.
• Research experience in human and machine vision, behavior analysis, or multimodal learning.
• Established publication record in top-tier venues (CVPR, NeurIPS, ICCV, ICLR).
• Proficient in deep learning frameworks (e.g., PyTorch, Jax, Hugging Face) and data analysis tools.
• Ability to work independently and within an interdisciplinary team.

Bonus Qualifications:

• Experience in developing real-time AI systems for human monitoring.
• Knowledge of physiological and cognitive state estimation techniques (e.g., eye tracking, EEG).
• Background in human factors or cognitive psychology is a plus.
• Practical experience deploying machine learning models in real-world settings and familiarity with software development practices.

📩 Apply Today! Submit your brief cover letter and a link to your Google Scholar profile showcasing your publications to seize this opportunity at TRI.

🌍 Commitment to Diversity: At TRI, we pride ourselves on fostering an inclusive and innovative community, welcoming diverse backgrounds and experiences. We are an Equal Employment Opportunity employer.

For more details and to apply, visit the Toyota Research Institute Home Page.