Electrochemistry Modeling Intern
Your tasks
Bosch Research is looking for an intern in electrochemical modelling technologies. Our goal is to enable improved Bosch products through deep understanding of thermodynamic, kinetic, and transport phenomena at the mesoscale level using a variety of computational tools. Strong focus is placed on development and application of computational methods for understanding of next-generation materials, primarily for electrochemistry and energy conversion.
In this particular position, the intern will contribute to the modeling of degradation mechanisms in proton-exchange-membrane electrolyzers. The goal is the accurate prediction of the aging kinetics for iridium in the Anode catalyst layer, under various operating conditions.
As part of Bosch Corporate Research, we are dedicated to long-term fundamental investigations of transformative energy technologies. Our modeling team supports global experimental efforts with fundamental understanding, emphasizing innovation and high technological impact. Using both internal funding and government grants, we collaborate closely with a network of leading computational and experimental teams which includes top universities, national labs, and industrial partners. We strongly encourage high-impact publications and patent applications.
Your profile Required:
- Pursuing a graduate degree at a top university in applied mathematics, chemical engineering, mechanical engineering, or a related field.
- Minimum GPA of 3.0
- The candidate should have a 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.
Desired:
- 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.
Required:
- Pursuing a graduate degree at a top university in applied mathematics, chemical engineering, mechanical engineering, or a related field.
- Minimum GPA of 3.0
- The candidate should have a 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.
Desired:
- 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.
