Postdoctoral Researcher, Accelerated Materials Design & Discovery
Postdoctoral Researcher, Accelerated Materials Design & Discovery
Posted on :
24-05-2025
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1 Vacancy
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Yearly Salary
$ 170000 - 180000
Vacancy
1 Vacancy
Posted on :
24-05-2025
Job Description
At Toyota Research Institute (TRI) were on a mission to improve the quality of human life. Were developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility weve built a world-class team in Energy & Materials Human-Centered AI Human Interactive Driving Large Behavioral Models and Robotics.
THE CHALLENGE
The long-term vision of TRIs 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. Our focus is on developing tools and capability to enable this acceleration. We collaborate closely with colleagues across global Toyota as well as with universities and national labs. AMDD seeks to develop and translate the newest technologies into practice both within Toyota and the open research community.
THE OPPORTUNITY
This role is based at our headquarters in Los Altos CA. We are offering a Postdoctoral Researcher position for individuals who have recently completed their PhD and are ready to conduct cutting-edge research with real-world impact. This is a one-year appointment with an option to extend another year by mutual agreement. We are looking for researchers who want to learn about and tackle problems related to the scientific design of energy materials. Currently we need to bridge the gap between simulation and experiment. You will help incorporate scientific theory or intuition into new machine learning models that provide actionable input for materials design in labs not just on computers. You will collaborate with software engineers and researchers to translate your work into prototype tools and gain scientific insights through Toyota-focused and open projects. This is a unique opportunity to contribute to cutting-edge research and deepen your knowledge of the AI for Materials landscape.
THE TEAM
You will expand your professional network as part of a creative team of scientists and engineers dedicated to enabling a sustainable future. Our team prioritizes learning new skills together at the interface of materials science and AI. You will be part of the Energy & Materials division which is accelerating Toyotas path to carbon neutrality. In addition to our work on accelerating materials discovery the division develops capabilities for battery manufacturing and provides strategic analysis on carbon neutral pathways and technologies.
Qualifications
- Have completed a PhD in the past three years in a related STEM field.
- Have a strong research background including peer-reviewed publications in the areas of materials informatics computational workflows lab automation synthesis electrochemistry catalysis batteries fuel cells and/or AI.
- Are proficient with Python.
- Are excited by the prospect of translating fundamental research into practical human-centered tools that address real-world industrial problems.
- Thrive in a culture that values diversity collaboration humility and learning.
Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.
The pay range for this position at commencement of employment is expected to be between$170000 and $180000/year for California-based roles; however base pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits such as vacation sick time and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Please reference thisCandidate Privacy Noticeto 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 applicants 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.
Employment Type
Full-Time
Key Skills
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