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ML For Materials Characterization Intern

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Toyota Research Institute

Nov 28, 2023

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Engineering
  • San Francisco

Requirements

  • Are currently enrolled in a doctoral program in STEM subjects (materials science, computer science, chemistry, applied math, statistics, chemical engineering, or a related field)
  • Proficiency with AI and machine learning frameworks, such as TensorFlow or PyTorch
  • Experience with developing transformer models, diffusion models, or multi-modality models
  • Bonus Qualifications:
  • Familiarity with such domain-specific tools or software as Pymatgen and ASE for handling and analyzing materials data
  • Knowledge of materials characterization techniques such as XRD

Responsibilities

  • Scientists use characterization techniques to identify materials’ structure and other properties in the lab. This project focuses on using advanced machine learning techniques to solve the intricate challenges associated with materials characterization data. We aim to explore sophisticated model architectures that can precisely map structural representations, such as 3D coordinates (CIF structures) and text-based chemical formulas, to characterization data in 2D array formats, such as X-ray Diffraction (XRD), X-ray Absorption Spectroscopy (XAS), and Raman spectral data. The objective is to build an invertible generative model capable of performing spectral refinement (denoising, peak identification, etc.) and solving the characterization inversion problem, thereby advancing our ability to deduce material structures from their spectral data.
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Toyota Research Institute

Improving the quality of human life through advances in energy and materials research, robotics, and AI.

Technology
Industry
201-500
Employees
2016
Founded Year

Mission & Purpose

At Toyota Research Institute (TRI), we’re working to build a future where everyone has the freedom to move, engage, and explore with a focus on reducing vehicle collisions, injuries, and fatalities. Join us in our mission to improve the quality of human life through advances in artificial intelligence, automated driving, robotics, and materials science. We’re dedicated to building a world of “mobility for all” where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life. Through innovations in AI, we’ll… -Develop vehicles incapable of causing a crash, regardless of the actions of the driver. -Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility. -Bring advanced mobility technology to market faster. - Discover new materials that will make batteries and hydrogen fuel cells smaller, lighter, less expensive and more powerful. Our work is guided by a dedication to safety – in how we research, develop, and validate the performance of vehicle technology to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies. Over half of our technical team carries PhD degrees. We’re continually searching for the world’s best talent ‒ people who are ready to define the new world of mobility with us! We strive to build a company that helps our people thrive, achieve work-life balance, and bring their best selves to work. At TRI, you will have the opportunity to enjoy the best of both worlds ‒ a fun start-up environment with brilliant people who enjoy solving tough problems and the financial backing to successfully achieve our goals. Come work with TRI if you’re interested in transforming mobility through designing safer cars, enabling the elderly to age in place, or designing alternative fuel sources. Start your impossible with us.