An internship position focused on developing and benchmarking probabilistic programming tools to support the design and testing of fuel cells, electrolyzers, and related devices, combining expertise in materials science and AI.
Key Responsibilities
Contribute to the development and benchmarking of probabilistic programming tools.
Develop tools to provide insights into the design and testing of fuel cells, electrolyzers, or related devices.
Perform probabilistic programming, time-series analysis, structural causal model development, and machine learning model development.
Requirements
Experience or coursework in probabilistic programming, time-series analysis, structural causal model development, and/or machine learning model development.
Ability to contribute to the development and benchmarking of probabilistic programming tools.
Strong interest in materials science and artificial intelligence at the interface of these fields.
Currently pursuing or possessing relevant educational background in a field related to materials science, AI, computer science, or engineering (implied by internship nature, though not explicitly stated).
Benefits & Perks
Compensation/salary range of $45 to $65 per hour
Work schedule details (implied flexible within the pay range)
Medical, dental, and vision insurance
Paid time off including holiday pay and sick time
Ready to Apply?
Join Toyota Research Institute and make an impact in renewable energy