Hybrid Internship: Multiscale Battery Modeling & AI

Toyota Research Institute Inc.

Los Altos (CA)

Hybrid

USD 62,000 - 90,000

Part time

18 hours ago
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Benefits offered by this job

Paid internship
Medical, dental, and vision insurance
Paid time off

Job summary

Toyota Research Institute (TRI) offers a paid 12-week internship in a hybrid in-office role in California. The selected intern will contribute to automated reasoning with multiscale physics-based battery models, benchmarking against existing software, and integrating new methods under the AMDD program.

You will build and research multiscale models, analyze data from battery experiments, and collaborate with scientists and engineers to accelerate materials research and translation to practice

Qualifications

  • 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.

Responsibilities

  • Conduct multiscale physics research related to battery modeling.
  • Analyze experimental battery data to inform model development.
  • Assist translation of models to new materials.
  • Develop and test automated reasoning methods with multiscale physics.
  • Collaborate with team and present results.

Skills

Multiscale physics modeling
Battery electrochemical testing
Material characterization (XRD/SEM)
Publications & presentations

Education

Doctoral student in STEM (chemistry, chemical engineering, materials science, mechanical engineering)

Tools

COMSOL
GT-AutoLion

Job description

Toyota Research Institute (TRI) offers a paid 12-week internship in a hybrid in-office role in California. The selected intern will contribute to automated reasoning with multiscale physics-based battery models, benchmarking against existing software, and integrating new methods under the AMDD program.

You will build and research multiscale models, analyze data from battery experiments, and collaborate with scientists and engineers to accelerate materials research and translation to practice

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