Job Description
Bosch Research is looking for an intern with experience in atomistic computational materials science to join the materials design team. Our goal is to enable improved Bosch products through deep understanding of thermodynamic, kinetic, and transport phenomena on an atomic level using both quantum and classical simulations. Strong focus is placed on development and application of computational and machine-learning methods for understanding and automated discovery of next-generation materials, primarily for electrochemistry and energy conversion.
In this particular position, the intern will develop and test computational workflows, simulation tools and effective models for simulating industrially relevant materials on a near-term quantum computer. Quantum computing significantly improves speed and accuracy of quantum mechanical simulations compared to conventional high-performance computers. When combined with classical simulation approaches, quantum computing promises to revolutionize computational design of functional materials, and to advance understanding of degradation phenomena on the atomistic level. This work is relevant for the optimization of catalytic processes in devices like fuel cells.
DUE TO COVID-19 MEASURES, THIS POSITION WILL LIKELY INVOLVE WORKING REMOTELY. INTERACTING WITH THE TEAM WILL OCCUR VIA VIDEOCONFERENCE, AUDIOCONFERENCE, EMAIL, ETC. STRONG CANDIDATES WILL HAVE A PROVEN ABILITY TO CONTRIBUTE HIGH QUALITY WORK IN A REMOTE WORK ENVIRONMENT.
Qualifications
REQUIRED QUALIFICATION:
DESIRED QUALIFICATION:
Additional Information
By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.
BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives