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Toyota Research Institute

Postdoctoral AI Fellow in Post-Training for Materials Discovery Toyota Research Institute in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

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Country

United States

University

Toyota Research Institute

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Keywords

Computer Science
Materials Science
Artificial Intelligence
Reinforcement Learning

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About this position

Toyota Research Institute is hiring a Postdoctoral AI Fellow in its Accelerated Science division to develop new research directions at the intersection of artificial intelligence and materials discovery.

The fellow will use materials discovery as a testing ground for original AI ideas, with the opportunity to shape an independent research direction. The advertised research is particularly relevant to post-training, reinforcement learning, model evaluation, and AI agents.

This opportunity is designed for researchers with a strong AI publication record. Materials science expertise is not required, making the fellowship suitable for AI researchers interested in applying their methods to scientific discovery.

Funding details

Available

What's required

A PhD earned within the past three years is required. Applicants should have published research in artificial intelligence, particularly in post-training, reinforcement learning, model evaluation, or AI agents. A materials science background is not required.

How to apply

Review the Toyota Research Institute Postdoctoral AI Fellow—Post-Training for Materials Discovery listing and apply through the linked Lever job portal.

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