Description
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 in Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics.
This is a summer 2025 paid 12-week internship opportunity in Los Altos, HQ. Please note that this internship will be an in-office hybrid role.
Energy & Materials
The Energy & Materials Division at TRI is building tools and creating strategies, from accelerating the design, discovery, and deployment of new materials to performing interdisciplinary systems analysis to help foster a transition to more sustainable mobility. Our research applies AI, data-driven methods, and automation to materials science and device engineering, along with stakeholder-informed systems modeling.
The Team
The long-term vision of TRI’s Accelerated Materials Design and Discovery (AMDD) program is to accelerate the development of truly emissions-free mobility. Realizing this vision will require the discovery of new materials and devices for batteries, fuel cells, and more. Our aim at TRI is to merge sophisticated computational materials modeling, new experimental data, artificial intelligence, and automation to significantly accelerate materials research in this area. Our focus is on developing tools and capability to enable this acceleration. We collaborate closely with a dozen universities and national labs and our colleagues in Japan. AMDD seeks to develop and translate the newest technologies into practice, both within Toyota and the open research community more broadly.
The Internship
We are offering a 12-week summer internship for graduate students nearing the completion of their PhD. We are looking for interns who can help us apply state-of-the-art machine learning model architectures to problems related to the scientific design of materials for electrochemical devices. Currently, we need assistance in bridging the gap between simulation and experiment.
You will help incorporate scientific theory or intuition into new machine learning models that provide actionable input to experimentalists. You will collaborate with software engineers and researchers to translate your work into prototype tools that can be used by the wider community. This is a unique opportunity to contribute to cutting-edge research, present your findings at internal meetings, and potentially co-author papers or patents.
Qualifications
- Enrolled in a PhD in physics, chemistry, chemical engineering, materials science, computer science, or a related field, nearing completion of your degree
- Have a strong research background, including peer-reviewed publications
- Are proficient with machine learning tools such as TensorFlow or PyTorch
- Have experience with model architectures, including graph neural networks, self-attention mechanisms, and transformers
- Possess effective written and verbal communication skills
- Thrive in a culture that values diversity, collaboration, humility, and learning
Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.
The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package including vacation and sick time. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
Toyota Research Institute
Artificial Intelligence (AI)
Automotive
Consumer Research
Machine Learning
Product Research
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