Energy & Materials Intern - Experimental Electrolyzer Modeling

Toyota Research Institute•Los Altos, CA

3d•$45 - $65•Onsite

About The Position

At Toyota Research Institute (TRI), weâre on a mission to improve the quality of human life. Weâre developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, weâve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. The Team The long-term vision of TRIâs Accelerated Materials Design and Discovery (AMDD) program is to accelerate the development of truly emissions-free mobility. Realizing this vision will require the discovery of new materials and devices for batteries, fuel cells, and more. Our aim at TRI is to merge sophisticated computational materials modeling, new experimental data, artificial intelligence, and automation to significantly accelerate materials research in this area. Our focus is on developing tools and capabilities to enable this acceleration. We collaborate closely with a dozen universities and national labs and our colleagues across global Toyota. AMDD seeks to develop and translate the newest technologies into practice, both within Toyota and the open research community, more broadly. The Internship We are looking for an intern researcher to contribute to the development of our physics-based water electrolyzer model. Together, we will develop materials-informed water electrolyzer models that provide insight into the design and testing of zero-gap electrolyzers, or related devices. Your day-to-day may include: data analytics for electrolyzers or half-cell data; mass transport, kinetic, and thermodynamic modeling; and/or structural causal model development. We welcome you to join a unique team of scientists and engineers where you will constantly learn new skills at the interface of materials science and AI. This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be an in-office role.

Requirements

Are currently enrolled in a doctoral program in STEM subjects (chemistry, chemical engineering, materials science, electrical engineering, mechanical engineering, or a related discipline).
Hands-on experimental experience with zero-gap water electrolyzers.
Experience with standard material characterization techniques (x-ray diffraction, scanning electron microscopy, etc.).
Published manuscripts in the electrolysis field.

Nice To Haves

Proficiency in Python

Responsibilities

Research the latest advancements in the modeling of electrolyzers and related phenomena.
Work with cross-functional teams of internal and external research collaborators across electrochemistry and ML/AI.
Assist with building tools and capabilities that bridge physics-based modeling, experimental data, machine learning, and/or simulation.
Act with humility, respect, and a collaborative spirit.