- Robot type
- Robot AI and Software
- Location
- Los AltosCaliforniaUSA
- Job type
- Hardware
- Posted
- Oct 30, 2026
Multi-scale Physics Battery Modeling Intern
Job 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 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 long-term vision of TRI’s Accelerated Materials Design and Discovery (AMDD) program is to accelerate the development of truly emissions-free mobility.
We are looking for an intern researcher to contribute to the…
Job responsibilities
- Research multiscale physics phenomena required in battery modeling.
- Data analytics for experimental battery design and testing.
- Identify key materials understanding that enable translation of existing models to new materials.
- Develop new reasoning models incorporating multiscale physics.
- Collaborate with the team on automated reasoning methods.
- Present findings within the team and to the greater group.
Job requirements
- Are currently enrolled in a doctoral program in STEM subjects (chemistry, chemical engineering, materials science, mechanical engineering, or a related discipline).
- Multiscale physics modeling experience (e.g., COMSOL, GT-AutoLion, custom-built models, etc.).
- Battery electrochemical testing experience (e.g., Li-ion or Na-ion).
- Experience with standard material characterization techniques (x-ray diffraction, scanning electron microscopy, etc.).
- Published manuscripts and conference presentations pertaining to experimental or computational battery materials.
- Experience coding in python.
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