Machine learning for catalyst material design - Honda Research Institute USA

Intern Positions

Currently, HRI-US is offering research and engineering internships to highly qualified and motivated students.  Research interns will work closely with HRI scientists and are encouraged to publish results in academic forums.   For research internship positions, we are looking for candidates with a good publication record and excellent programming skills to join our team. The positions currently listed are for the Spring/Summer 2024.

Machine learning for catalyst material design

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Machine learning for catalyst material design

Job Number: P23INT-35
​This project is about using machine learning to aid the catalyst material design. It involves data collection, database curation, material property simulation, prediction, validation, and optimization.
San Jose, CA
Duration 6 Months
Position Introduction

​This project is about using machine learning to aid the catalyst material design. It involves data collection, database curation, material property simulation, prediction, validation, and optimization.

 
Key Responsibilities

​During the time of the internship, you are expected to

  • Assist material data collection and database curation
  • Assist machine learning algorithm development for material property prediction
  • Assist machine learning algorithm development for material optimization
  • Assist validation of material properties

 
Minimum Qualifications
  • ​M.S. degree in computer science, electrical engineering, material science, chemistry, chemical engineering, physics, or related fields
  • Development experience in data-driven optimization
  • Knowledge of electrochemical material and experience in experiments
  • Strong skills in Python and ML tools

 
Bonus Qualifications
  • ​Ph.D. candidate in computer science, electrical engineering, material science, chemistry, chemical engineering, physics, or related fields
  • Research experience in Bayesian optimization
  • Research experience in graphical neural networks
  • Research experience in machine learning for material design
  • Experience in electrochemical material simulation
  • Experience in electrochemical material experimental testing

 
Years of Work Experience Required 0 years
Position Keywords

​material science, catalyst, chemistry, data-driven optimization, Bayesian optimization, machine learning

Alternate Way to Apply

Send an e-mail to careers@honda-ri.com with the following:
- Subject line including the job number(s) you are applying for 
- Recent CV 
- A cover letter highlighting relevant background (Optional)

Please, do not contact our office to inquiry about your application status.