Toyota Research Institute

Senior Research Scientist - Energy Systems and Business Analysis

Los Altos, California, United States

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, Energy, BiotechnologyIndustries

Research Scientist - Energy Systems and Business Analysis

Employment Type: Full-time

Position Overview

At Toyota Research Institute (TRI), we are dedicated to improving the quality of human life by developing new tools, collaborations, and capabilities to amplify the human experience. We are at the forefront of a transformative shift in mobility, building a world-class team focused on Energy and Materials, Human-Centered AI, Human Interactive Driving, and Robotics.

The Challenge

Toyota has set a global goal of reaching carbon neutrality by 2050. Achieving net-zero carbon emissions is a critical global challenge. While vehicle electrification is a key pathway, the adoption rate of electric vehicles is influenced by numerous interconnected factors. These include understanding people's mobility needs, ensuring a carbon-free electrical grid, securing resilient supply chains for battery and fuel cell materials, developing cleaner structural materials, and deploying convenient charging and alternative fuel infrastructure.

This role addresses the fundamental questions: How can Toyota achieve net zero by 2050 and meet near-term decarbonization milestones? What comprehensive strategies are required? How should we collaborate with diverse stakeholders? What are the most impactful actions we can take today while planning for future technologies and mitigating uncertainties?

The Opportunity

We are seeking an individual to work across the critical and interdependent areas of technology, economics, policy, and society. Your work will be instrumental in evaluating and evolving Toyota's medium- and long-term carbon neutral strategy.

As a Research Scientist for Energy Systems and Business Analysis, you will:

  • Provide timely and responsive analysis to Toyota leadership on key issues at the intersection of energy, climate, and transportation.
  • Scope, build, conduct, and/or manage systems modeling for decarbonization pathways, incorporating techno-economic and policy factors, and coordinating with other researchers within the Toyota group.
  • Represent Toyota at industry and academic consortia to guide research priorities and foster strategic partnerships.
  • Develop in-house case analyses for carbon neutral technology adoption and collaborate with Toyota partners (e.g., Toyota Ventures, Toyota Financial Services).
  • Compile and maintain benchmark data, including competitor decarbonization efforts, technical developments, public announcements, and government mandates/incentives.
  • Communicate effectively with internal and external collaborators.

The Team

Join a creative team of scientists and engineers committed to enabling a sustainable future. You will be part of the Carbon Neutral Strategy (CNS) team within the Energy and Materials (E&M) division, contributing to the transition towards more sustainable mobility. The E&M division also focuses on applying AI, data-driven methods, and automation to materials science and manufacturing across various scales. The CNS team operates at the nexus of technology, business, policy, and society, utilizing energy systems modeling and machine learning to inform decarbonization strategies across the Toyota ecosystem. While based in the United States, our scope is global. We collaborate with TRI colleagues in robotics, behavioral science, and computer science, as well as with Toyota colleagues in business development and policy analysis, and researchers at leading universities and national labs. We foster a collaborative environment for professional growth and skill development.

Qualifications

  • PhD degree focused on energy technology and policy, systems engineering, energy economics, energy business analysis, or a related field.
  • 3+ years of relevant experience.
  • Strong research background.

Skills

Energy Systems Analysis
Business Analysis
Carbon Neutrality Strategy
Climate Policy
Transportation Economics
Stakeholder Engagement
Data Analysis
Modeling
Research

Toyota Research Institute

Research in mobility, safety, and automation

About Toyota Research Institute

Toyota Research Institute focuses on improving mobility through research and development in the automotive and technology sectors. The company works on enhancing safety, automated driving, robotics, materials science, and machine learning. Their products include advanced safety features and automated driving systems that aim to make driving safer and more efficient. Unlike many competitors, TRI emphasizes a research-driven approach, collaborating with various partners and licensing their innovations to enhance Toyota's offerings and maintain a competitive edge. The goal of TRI is to advance mobility solutions that improve quality of life and support the transition to zero-emissions transportation.

Los Altos, CaliforniaHeadquarters
2016Year Founded
$100MTotal Funding
SEEDCompany Stage
Robotics & Automation, Automotive & Transportation, AI & Machine LearningIndustries
201-500Employees

Benefits

Highly competitive benefits package
Robust programs to support the wellbeing, happiness, and health of our people and their families.
401(k) plan including matching and annual profit sharing along with total vacation and holidays totaling 38 days per year.
Subsidized commuter benefits and generous employee and vehicle allowances
2 paid days per year to participate in volunteer activities.
Maternity Leave program with 10 paid weeks plus baby bonding leave and Milk Stork for traveling moms
Baby Bonding Leave–an additional 16 paid weeks–to all new parents, including those who choose to adopt.
Back-up child and adult / elder care programs to help everyone thrive
WellBeats Virtual Fitness Trainer.

Risks

Public skepticism may undermine AI-assisted driving safety initiatives.
Boston Dynamics' high costs could impact TRI's humanoid robot project returns.
Complexity of real-world environments may delay TRI's robot skill deployment.

Differentiation

TRI focuses on AI to enhance human life and mobility.
Partnerships with Boston Dynamics and Stanford showcase TRI's collaborative innovation.
TRI's Driving Sensei concept integrates AI to improve driver skills and engagement.

Upsides

Generative AI allows TRI's robots to learn complex tasks without new coding.
TRI's AI-driven material synthesis could revolutionize EV battery development.
Autonomous tandem drifting collaboration with Stanford pushes vehicle dynamics boundaries.

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