This internship involves conducting research in AI, robotics, and human factors to develop innovative approaches for human-vehicle interaction in autonomous driving systems, with the goal of advancing safety, semi-autonomous driving, and robotic applications.
Key Responsibilities
Conduct research on AI topics related to autonomous vehicles, including multi-agent modeling, human-robot interactions, trajectory prediction, driver behavior understanding, activity recognition, shared control, and human-machine teaming.
Develop innovative AI approaches to improve driver-vehicle interactions, focusing on long-term human-AI teaming, co-adaptation, and teaching.
Contribute to creating technology applicable to next-generation safety systems, semi-autonomous driving, and robotic applications.
Collaborate with research team to produce publications in top-tier conferences.
Requirements
Motivated interns with excellent capabilities for research in various areas of AI around autonomous vehicles and related topics.
Experience or demonstrated ability in research areas such as multi-agent modeling, human-robot interactions, trajectory prediction, driver state and behavior understanding, activity recognition, shared control, human-machine teaming interaction, and computational teaching of humans.
Ability to create innovative approaches that reframe how driver and intelligent vehicles interact, challenging traditional methods for prediction, planning, and interaction with the driver.
Focus on developing AI approaches that support longer-term human-AI teaming, including co-adaptation and teaching, with multiple research opportunities along the way.
Research experience aimed at publication in a top-tier conference.
Relevant publications in the fields of autonomous vehicles, robotics, or related areas (applicants are encouraged to include a link to Google Scholar when submitting CV).
Strong collaboration skills.
Availability to work in a hybrid in-office role at the Cambridge, MA research center for a 12-week summer internship in 2026.
Possession of the educational background and skills necessary for research in AI, robotics, computer vision, or related fields (implied by the research focus and publication requirement).
Legal eligibility to work in the United States (implied by the location and employment context).
Willingness to work in a research environment with access to resources and strong researchers.
Benefits & Perks
Paid 12-week internship during Summer 2026
Competitive compensation (expected between $40 and $58 per hour for Massachusetts-based roles)
Hybrid in-office role in Cambridge, MA
Generous benefits package including medical, dental, and vision insurance
Paid time off benefits including holiday pay and sick time
Ready to Apply?
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