Logo of Huzzle

Home

Matches

Explore

Manage

Energy & Materials Research Intern, Carbon Neutral Strategy

T

Toyota Motor Corporation

14d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • Los Altos
  • Quick Apply

AI generated summary

  • You must be enrolled in a Master's or PhD in STEM, have ML experience, know SciPy/PyTorch/TensorFlow, show interest in decarbonization, and provide a Google Scholar link with publications.
  • You will develop technoeconomic models for technology and business strategies, focusing on materials usage, EV infrastructure, and decarbonization technologies while considering human behavior and equity.

Requirements

  • Currently enrolled in a Masters or a PhD 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 with ML: supervised learning: neural networks (e.g. classification, LSTM), Unsupervised: Clustering (e.g. k-means, hierarchical), and/or reinforcement (e.g. Markov decision process, discrete choice model)
  • Experience with platforms like SciPy, PyTorch, Tensorflow; GIS is a bonus
  • Demonstrated interest in decarbonization, technoeconomics, and policy
  • Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.

Responsibilities

  • Together, we will scope and develop technoeconomic systems analysis frameworks to inform technology and business development surrounding topics like predicted policy compliance requirements around materials usage or forecasting placement of electric vehicle charging infrastructure.
  • These models may involve incorporating human behavior heuristics, material supply chain limitations and circularity, prioritizing disadvantaged communities in the energy transition, or multiple critical decarbonization technologies, including EV charging and hydrogen refueling infrastructure, biofuels and synthetic fuels, plug-in hybrids, etc.
  • 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.

FAQs

What is the duration of the internship?

The internship is a paid, 12-week opportunity during the summer of 2025.

Where is the internship located?

The internship will take place in Los Altos, California, at Toyota Research Institute's headquarters in a hybrid office setting.

What are the qualifications required for this internship?

Candidates must be currently enrolled in a Master's or PhD program in STEM subjects, including materials science, chemistry, chemical engineering, mechanical engineering, computer science, systems engineering, public policy, energy economics, or a related discipline with a focus on computational research.

Is previous research experience necessary?

While not explicitly stated, experience in machine learning and a demonstrated interest in decarbonization, technoeconomics, and policy are important for applicants.

What technical skills are preferred for this position?

Experience with machine learning techniques (supervised, unsupervised, reinforcement learning), and familiarity with platforms like SciPy, PyTorch, and TensorFlow are preferred. GIS experience is a bonus.

Will interns have opportunities for publication or presentation?

Yes, previous intern projects have resulted in peer-reviewed publications and presentations to internal Toyota leadership.

Is there a compensation range for the internship?

The pay range for this position is expected to be between $45 and $65 per hour for California-based roles, depending on individual factors such as location, skills, and experience.

Are benefits included with the internship?

Yes, TRI offers a generous benefits package, including vacation and sick time.

Is there a requirement for submission of publications with the application?

Yes, applicants are required to include a link to their Google Scholar profile and a full list of publications when submitting their CV.

Does TRI promote diversity and inclusion?

Yes, TRI is committed to fostering a diverse and inclusive community and provides Equal Employment Opportunity for all applicants.

T

Toyota Motor Corporation

Our privacy policy can be viewed here: https://global.toyota/en/privacy-notice/

Manufacturing & Electronics
Industry
10,001+
Employees
1937
Founded Year

Mission & Purpose

Toyota Motor Corporation is a global automotive industry leader manufacturing vehicles in 27 countries or regions and marketing the company’s products in over 170 countries and regions. Founded in 1937 and headquartered in Toyota City, Japan, Toyota Motor Corporation employs nearly 350,000 people globally.