Bosch Research is looking for an intern in mesoscale modeling and materials science to join the energy technologies team. 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 work on modeling of degradation mechanisms in proton-exchange-membrane fuel cells. The goal is accurate prediction of the aging kinetics for cathode catalyst layers, under various operating conditions. This work is relevant for defining operating-condition strategies for PEM-FC, as the loss of active surface area during cycling is the main responsible for power loss in fuel cells. A close interaction with the experimental team is also expected: in-house experimental data will be used for model parametrization and validation.
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.
Due to COVID-19 measures, this position will likely involve working remotely. Interacting with the team will occur via video conference, audio conference, email, etc. Strong candidates will have a proven ability to contribute high quality work in a remote work environment.