Ph.D. student in ML/AI, robotics, or computer vision with publication background in relevant fields. Proficient in Pytorch/TensorFlow and Python, and capable of working collaboratively on scientific research projects.

The Human-Aware Interactions and Learning Research Intern at Toyota Research Institute will be responsible for conducting research and publishing in relevant venues, exploring computational and cognitive phenomena, and collaborating with a team to create new approaches for understanding and interacting with humans.

Software Engineering

United Kingdom

Cambridge

Medium

At Toyota Research Institute (TRI), we’re working to build a future where everyone has the freedom to move, engage, and explore with a focus on reducing vehicle collisions, injuries, and fatalities. Join us in our mission to improve the quality of human life through advances in artificial intelligence, automated driving, robotics, and materials science. We’re dedicated to building a world of “mobility for all” where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life. Through innovations in AI, we’ll…

-Develop vehicles incapable of causing a crash, regardless of the actions of 
the driver.

-Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility.

-Bring advanced mobility technology to market faster.

- Discover new materials that will make batteries and hydrogen fuel cells smaller, lighter, less expensive and more powerful.

Our work is guided by a dedication to safety – in how we research, develop, and validate the performance of vehicle technology to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies. Over half of our technical team carries PhD degrees. We’re continually searching for the world’s best talent ‒ people who are ready to define the new world of mobility with us!

We strive to build a company that helps our people thrive, achieve work-life balance, and bring their best selves to work. At TRI, you will have the opportunity to enjoy the best of both worlds ‒ a fun start-up environment with brilliant people who enjoy solving tough problems and the financial backing to successfully achieve our goals. Come work with TRI if you’re interested in transforming mobility through designing safer cars, enabling the elderly to age in place, or designing alternative fuel sources. Start your impossible with us.

Technology

Toyota Research Institute

Improving the quality of human life through advances in energy and materials research, robotics, and AI.

<ul><li>This is a Summer&nbsp;2024&nbsp;paid 12-week internship opportunity. Please note that this internship will be a&nbsp;hybrid&nbsp;in-office&nbsp;role.</li><li>We are looking for motivated interns with excellent capabilities for research in various areas of AI around autonomous vehicles and related topics. Areas of interest include multi-agent modeling and human-robot interactions with emphasis on environments such as autonomous and semi-autonomous vehicles. Related topics include trajectory prediction, driver state and behavior understanding, activity recognition, shared control, as well as human-machine teaming/interaction and computational teaching of humans.&nbsp;</li><li>In this project, we’re looking at creating innovative approaches that reframe how driver and intelligent vehicles interact. Our overall goal is to create AI approaches that challenge more traditional approaches for prediction, planning, and interaction with the driver, and approach the interaction as longer-term human-AI teaming, including co-adaptation and teaching, with multiple research opportunities along the way.&nbsp;</li><li>The project will be focused on researching a new approach in some specific sub-area of the overall goal, towards publication in a top-tier conference. Aside from the publication goal of the internship, the technology developed in the internship is crucial for next generation safety systems, (semi-)autonomous driving systems, and novel robotic applications of the kind that TRI is helping create.&nbsp;The internship will be in our&nbsp;Cambridge, MA research center, where you will be working with strong researchers towards publications that matter, with many resources to utilize, and with competitive compensation for your hard and fun work. TRI internships promise a summer of research problem-solving in areas of impact on autonomous driving, robotics, and society in general. Applicants with relevant publications in these fields and good collaboration skills are highly encouraged to apply.</li></ul>

Currently Studying

This is a Summer 2024 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role.We are looking for motivated interns with excellent capabilities for research in various areas of AI around autonomous vehicles and related topics. Areas of interest include multi-agent modeling and human-robot interactions with emphasis on environments such as autonomous and semi-autonomous vehicles. Related topics include trajectory prediction, driver state and behavior understanding, activity recognition, shared control, as well as human-machine teaming/interaction and computational teaching of humans. In this project, we’re looking at creating innovative approaches that reframe how driver and intelligent vehicles interact. Our overall goal is to create AI approaches that challenge more traditional approaches for prediction, planning, and interaction with the driver, and approach the interaction as longer-term human-AI teaming, including co-adaptation and teaching, with multiple research opportunities along the way. The project will be focused on researching a new approach in some specific sub-area of the overall goal, towards publication in a top-tier conference. Aside from the publication goal of the internship, the technology developed in the internship is crucial for next generation safety systems, (semi-)autonomous driving systems, and novel robotic applications of the kind that TRI is helping create. The internship will be in our Cambridge, MA research center, where you will be working with strong researchers towards publications that matter, with many resources to utilize, and with competitive compensation for your hard and fun work. TRI internships promise a summer of research problem-solving in areas of impact on autonomous driving, robotics, and society in general. Applicants with relevant publications in these fields and good collaboration skills are highly encouraged to apply.

Human-Aware Interactions and Learning Research Intern

Requirements

Responsibilities

Toyota Research Institute

Mission & Purpose