At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. This is a paid 12-week internship opportunity and is a hybrid, in-office role. Here’s a glimpse into the Internship experience from some of our TRI interns! At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. This is a paid 12-week internship opportunity and is a hybrid, in-office role. Here’s a glimpse into the Internship experience from some of our TRI interns! The Team The long-term vision of TRI’s 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. This Internship We are looking for an intern researcher to contribute to the development of atomistic catalysis modeling that bridges the gap between current simulation (e.g. DFT) and in-situ catalysis experiments. We will develop reasoning models with embedded chemical and atomistic descriptors as well as experimental parameters and measurements. Your day-to-day may include: literature review of computational methods and model construction and validation. 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 thoughtful The Team The long-term vision of TRI’s 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. This Internship We are looking for an intern researcher to contribute to the development of atomistic catalysis modeling that bridges the gap between current simulation (e.g. DFT) and in-situ catalysis experiments. We will develop reasoning models with embedded chemical and atomistic descriptors as well as experimental parameters and measurements. Your day-to-day may include: literature review of computational methods and model construction and validation. 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 thoughtful Responsibilities - Research multiscale physics phenomena required in electrocatalysis modeling. - Data analytics for experimental electrocatalyst design and testing. - Identify key materials understanding that enable translation of existing models to new materials. - Develop new reasoning models incorporating atomistic modeling and experiments. - Collaborate with the team on automated reasoning methods. - Present findings within the team and to the greater group. Qualifications - 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 experience with advanced 3-electrode cell catalyst electrochemical evaluation. - Experience with standard material characterization techniques (x-ray diffraction, scanning electron microscopy, etc.). - Published manuscripts in the electrocatalysis field. Bonus Qualifications - Experience coding in Python. - Microkinetic modeling experience. - Experience in DFT simulations. - Experience in in-situ electrocatalysis characterization. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

Accelerated Science Intern, Bridging Atomistic Modeling to Real Electrochemical Systems

similar openings