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 help…
– 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.
– Develop human-centered AI systems to augment (not replace) human decision making to increase the quality of decisions (e.g. mitigate cognitive biases) and/or to facilitate faster innovation cycles.
Our work is guided by a dedication to safety – in both what we research and how we perform our research our goal is 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 environment with forward-thinking 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 technology for safer cars, enabling the elderly to age in place, or designing alternative fuel sources. Start your impossible with us.
The long-term vision of TRI’s Accelerated Materials Design and Discovery (AMDD) program is to accelerate the technological development of truly emissions-free mobility. Realizing this vision will require the development of new materials for batteries, fuel cells, and more. Our aim at TRI is to merge advanced computational materials modeling, new experimental data, artificial intelligence, and automation to dramatically accelerate the materials design and discovery process. AMDD’s focus is on developing tools and capability to enable this acceleration. In addition to the research work of the internal team, AMDD collaborates closely with a dozen universities and national labs. AMDD aims to both develop and translate the newest technologies into practice, both within Toyota and the open research community more broadly.
We are looking for a research scientist to develop machine learning approaches to accelerate battery development and testing, build software tools, and develop data-driven models of batteries to aid in prediction and performance optimization. The candidate will bring a blend of experience in data science and physics-based modeling. You will join a team of materials scientists, engineers, software developers, and data scientists. You will collaborate with world-class university research groups who work at the leading edge of materials research for future energy solutions.
- Conduct and manage battery research with an emphasis on application. Areas of research include electrochemistry, prediction algorithms, systems engineering, reliability, cost, and safety.
- Design and deploy cloud-based software infrastructure for battery research.
- Manage, collaborate, and support external research programs with Toyota Motor Corporation and partnering universities.
- Take an active role in the team building and operational activities of AMDD.
- Ph.D. or equivalent in engineering, materials science, or a related field.
- Research experience and publication record, ideally in battery applications.
- Experience with machine learning and data analysis.
- Programming experience and interest in learning modern software development tools.
- Willingness to be a teammate.
- Availability to travel as needed (in future years). Some US travel is required and occasionally to Japan.