Electrochemical Modeling Intern: PEM Degradation & Mesoscale

Robert Bosch Group; Sunnyvale (CA); On-site; USD 56,000 - 76,000; Full time

Job summary

Bosch Research is seeking a graduate intern in electrochemical modelling to advance understanding of degradation in proton-exchange-membrane electrolyzers. You will help predict aging kinetics of iridium in the anode catalyst layer under varied operating conditions.

This role combines advanced computation, materials science, and collaboration with a global network of researchers. Strong coding skills, especially Python, and a solid foundation in electrochemistry are essential.

Qualifications

• Pursuing a graduate degree at a top university in applied mathematics, chemical engineering, mechanical engineering, or a related field.
• Minimum GPA of 3.0.
• Strong foundation in computation and mathematics with a focus on electrochemistry, heat transfer, mass transfer, and chemical kinetics.
• Attention to detail, flexibility, creativity, excellent communication, and teamwork skills are a must.
• Significant research and/or coding experience, preferably with fluency in Python.
• Experience building electrochemical models of complex systems including interface kinetics, diffusion, and phase change.
• Knowledge of PEM electrolysis electrochemistry is highly desirable.

Responsibilities

• Model degradation mechanisms in proton-exchange-membrane electrolyzers.
• Predict aging kinetics for iridium in the anode catalyst layer under varied operating conditions.
• Collaborate with a global network of computational and experimental teams.

Skills

Python

Electrochemistry

Heat transfer

Mass transfer

Chemical kinetics

Research experience

Teamwork

Education

Graduate degree in applied mathematics

GPA 3.0

Job description

Bosch Research is seeking a graduate intern in electrochemical modelling to advance understanding of degradation in proton-exchange-membrane electrolyzers. You will help predict aging kinetics of iridium in the anode catalyst layer under varied operating conditions.

This role combines advanced computation, materials science, and collaboration with a global network of researchers. Strong coding skills, especially Python, and a solid foundation in electrochemistry are essential.