Bridging Atomistic Modeling to Real Electrochemical Systems Modeling Intern
About The Position
Toyota Research Institute is hiring a paid, 12-week intern researcher for a hybrid, in-office role within its Accelerated Materials Design and Discovery program. The program aims to accelerate emissions-free mobility by discovering materials and devices for batteries, fuel cells, and related applications, combining computational materials modeling, experimental data, artificial intelligence, and automation. The intern will contribute to atomistic catalysis modeling that connects simulations such as density functional theory (DFT) with in-situ catalysis experiments. The work involves developing reasoning models that incorporate chemical and atomistic descriptors alongside experimental parameters and measurements. Day-to-day activities may include reviewing literature on computational methods and constructing and validating models. The intern will work with a team of scientists and engineers at the interface of materials science and related disciplines.
Requirements
- Currently enrolled in a doctoral program in a STEM subject such as chemistry, chemical engineering, materials science, electrical engineering, mechanical engineering, or a related discipline.
- Hands-on experience with advanced three-electrode cell catalyst electrochemical evaluation.
- Experience with standard material characterization techniques, such as X-ray diffraction and scanning electron microscopy.
- Published manuscripts in the electrocatalysis field.
Nice To Haves
- Experience coding in Python.
- Microkinetic modeling experience.
- Experience in DFT simulations.
- Experience in in-situ electrocatalysis characterization.
Responsibilities
- Research multiscale physical phenomena relevant to electrocatalysis modeling.
- Perform data analytics for experimental electrocatalyst design and testing.
- Identify materials insights that enable existing models to be translated to new materials.
- Develop reasoning models that incorporate atomistic modeling and experiments.
- Collaborate with the team on automated reasoning methods.
- Present findings within the team and to the broader group.
- Review literature on computational methods and contribute to model construction and validation.
Benefits
- Medical insurance.
- Dental insurance.
- Vision insurance.
- Paid time off, including holiday pay and sick time.
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
