About the role#
We are looking for a researcher to join our team for the Summer 2027 term. You will work on automated reasoning using multiscale physics-based battery models. This role involves benchmarking models against existing software, incorporating fundamental materials knowledge, and integrating new methods for scientific reasoning. You will work alongside scientists and engineers at the intersection of materials science and AI.
What you'll do#
- Research multiscale physics phenomena for battery modeling.
- Perform data analytics for experimental battery design and testing.
- Identify key materials insights to help translate existing models to new materials.
- Develop new reasoning models that incorporate multiscale physics.
- Collaborate with the team on automated reasoning methods.
- Present your findings to the immediate team and the greater group.
What you'll need#
- Current enrollment in a doctoral program in chemistry, chemical engineering, materials science, mechanical engineering, or a related discipline.
- Experience with multiscale physics modeling using tools like COMSOL, GT-AutoLion, or custom-built models.
- Practical experience with battery electrochemical testing, such as Li-ion or Na-ion.
- Experience with standard material characterization techniques like x-ray diffraction or scanning electron microscopy.
- Published manuscripts or conference presentations related to computational or experimental battery materials.
- Proficiency in Python.
Location & details#
- This is a 12-week, full-time, paid internship based in Los Altos, California.
- The role is hybrid.
About Toyota Research Institute
Toyota Research Institute is a research organization founded in 2016. Based in Los Altos, California, it operates as a subsidiary of Toyota. The company focuses on artificial intelligence, robotics, automated driving, and material sciences. Its staff of approximately 485 employees works to develop technology for vehicles and robots while researching new materials for batteries and fuel cells.
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