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University: Toyota Research Institute Country: United States Deadline: Not specified Fields: Materials Science, Chemistry, Chemical Engineering, Computer Science, Physics The Toyota Research Institute (TRI) invites applications for a Postdoctoral Researcher position in Accelerated Materials Design and Discovery (AMDD) at its Los Altos, California headquarters. TRI’s AMDD program aims to accelerate the development of emissions-free mobility by integrating computational materials modeling, experimental data, artificial intelligence, and automation. The successful candidate will work at the interface of materials science and AI, contributing to the design and discovery of new materials for batteries, fuel cells, and related technologies. Requirements – A PhD completed within the past three years in a related STEM field (e.g., materials science, chemistry, chemical engineering, computer science, physics) – Demonstrated research experience with peer-reviewed publications in materials informatics, computational workflows, lab automation, synthesis, electrochemistry, catalysis, batteries, fuel cells, and/or artificial intelligence – Proficiency in Python programming – Interest in translating fundamental research into practical, human-centered tools for industrial applications – Ability to thrive in a collaborative, diverse, and learning-focused environment This is a one-year full-time appointment with the possibility of extension for an additional year by mutual agreement. The role offers the opportunity to collaborate with leading researchers, software engineers, and industry partners, contributing to both Toyota-focused and open research projects. To apply, please visit: https://jobs.lever.co/tri/bfb69559-440e-4c91-ad72-9203d94cd646 Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/register Show more Show less
