Energy & Materials Intern - Carbon Neutral Strategy
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.
The Mission
The Energy and Materials Division at TRI is building tools and creating strategies, from accelerating the design, discovery, and deployment of new materials to performing interdisciplinary systems analysis to help foster a transition to more sustainable mobility. Our research applies AI, data-driven methods, and automation to materials science and device engineering, along with stakeholder-informed systems modeling.
The Team
The Carbon Neutral Strategy Program operates at the intersection of technology, business, and policy, using tools like energy systems modeling and ML to inform decarbonization strategy development across Toyota. Our projects often involve collaboration with scientists from universities and national labs. Interns will be involved in industrial research on topics of broader interest to the general materials science and clean energy community, and several previous intern projects have resulted in peer-reviewed publications in journals such as npj Computational Materials and Chemical Science and presentations to internal Toyota leadership to support strategic decision-making.
The Opportunity
We are looking for an intern researcher to contribute to our energy systems research program. Together, we will scope and develop in-house analytical tools to inform how different policy mechanisms, behavioral assumptions, and technology pathways could influence the pace of vehicle turnover and the future vehicle powertrain mix. We welcome you to join a unique team of scientists and engineers where you will constantly learn new skills at the interface of energy and AI.
Responsibilities
• Incorporating human behavior heuristics into models.
• Evaluating alternative policy and program designs.
• Quantifying the total cost of ownership for different vehicle types under a range or assumptions.
• Applying machine learning methods to understand parameters that help achieve desired system outcomes.
Qualifications
• Currently enrolled in a masters or a doctoral program in STEM subjects (e.g. materials science, chemistry, chemical engineering, mechanical engineering, computer science, systems engineering, public policy, energy economics, or a related discipline with an emphasis on computational research).
• Experience in Python.
• Experience with ML (e.g. supervised learning, unsupervised learning, reinforcement-style decision models).
• Comfortable working with scientific computing and ML frameworks such as SciPy, PyTorch, or Tensorflow.
• Demonstrate interest in decarbonization, technoeconomics, and policy analysis.
Bonus Qualifications
• Familiarity with GIS.
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, business or organizational needs, market location, job-related knowledge, skills, and experience. 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Apply Now
Apply Now
The Mission
The Energy and Materials Division at TRI is building tools and creating strategies, from accelerating the design, discovery, and deployment of new materials to performing interdisciplinary systems analysis to help foster a transition to more sustainable mobility. Our research applies AI, data-driven methods, and automation to materials science and device engineering, along with stakeholder-informed systems modeling.
The Team
The Carbon Neutral Strategy Program operates at the intersection of technology, business, and policy, using tools like energy systems modeling and ML to inform decarbonization strategy development across Toyota. Our projects often involve collaboration with scientists from universities and national labs. Interns will be involved in industrial research on topics of broader interest to the general materials science and clean energy community, and several previous intern projects have resulted in peer-reviewed publications in journals such as npj Computational Materials and Chemical Science and presentations to internal Toyota leadership to support strategic decision-making.
The Opportunity
We are looking for an intern researcher to contribute to our energy systems research program. Together, we will scope and develop in-house analytical tools to inform how different policy mechanisms, behavioral assumptions, and technology pathways could influence the pace of vehicle turnover and the future vehicle powertrain mix. We welcome you to join a unique team of scientists and engineers where you will constantly learn new skills at the interface of energy and AI.
Responsibilities
• Incorporating human behavior heuristics into models.
• Evaluating alternative policy and program designs.
• Quantifying the total cost of ownership for different vehicle types under a range or assumptions.
• Applying machine learning methods to understand parameters that help achieve desired system outcomes.
Qualifications
• Currently enrolled in a masters or a doctoral program in STEM subjects (e.g. materials science, chemistry, chemical engineering, mechanical engineering, computer science, systems engineering, public policy, energy economics, or a related discipline with an emphasis on computational research).
• Experience in Python.
• Experience with ML (e.g. supervised learning, unsupervised learning, reinforcement-style decision models).
• Comfortable working with scientific computing and ML frameworks such as SciPy, PyTorch, or Tensorflow.
• Demonstrate interest in decarbonization, technoeconomics, and policy analysis.
Bonus Qualifications
• Familiarity with GIS.
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, business or organizational needs, market location, job-related knowledge, skills, and experience. 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Apply Now
Apply Now