At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.
This is a paid 12-week internship opportunity and is a hybrid, in-office role.
Here’s a glimpse into the Internship experience from some of our TRI interns!
The intern will work within the AMDD team on a project focused on developing advanced analysis tools and pipelines for X-Ray diffraction (XRD) patterns of mixed-metal oxide thin-films. They will use and develop automated Rietveld refinement tools to label XRD patterns and understand structure-property-processing relationships across a compositionally diverse dataset. They will perform phase identification on XRD patterns ranging from unary to ternary metal-oxides, and develop pipelines to perform automatic or human-assisted labeling of experimental data. They will investigate crystallite size, texturing, and strain across the dataset. This work will contribute to the development of automated workflows for phase identification from XRD, an essential bottleneck in accelerating high-throughput materials discovery.
Scope the project to align with the core research efforts.
Be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors.
Execute the project using TRI resources.
Present the project’s approach and findings in research meetings.
Pursuing a PhD in Materials Science, Chemistry, Physics, or related fields.
Familiar with running tabletop or synchrotron XRD experiments.
2+ years experience in performing Rietveld refinement, bonus if familiar with analyzing different materials classes.
Experience with basic data analysis in Python.
A track record of executing research projects evidenced by journal publications.
Strong communication skills and ability to work and foster collaboration across interdisciplinary teams.
Desire to work on challenging and open-ended research projects.
Experience using XRD phase identification software, e.g. DARA, GSAS-II, MAUD, Spotlight.
Experience working with thin-film metal oxides.
Comfortable working with large datasets.
Experience with code best practices and collaborative software development using git.
Other open roles at tri(5)
At Toyota Research Institute (TRI), we’re conducting research to amplify human ability, focusing on making our lives safer and more sustainable. Led by Dr. Gill Pratt, TRI’s team of researchers develops technologies to advance AI, robotics, driving, and material sciences. 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 will: - 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– seen 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 holds 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.
Key team members
Jim Adler
Scott Mueller, Ph.D.
Pablo Paredes, PhD, MBA
Guy Rosman
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