Job Description

Bosch Research is looking for an intern 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.

As part of Bosch Corporate Research, we are dedicated to long-term fundamental investigations of transformative energy technologies. Located in Cambridge, close to MIT and Harvard, our materials computation 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.

INTERN RESPONSIBILITIES:

• Development and application of atomistic methods for understanding thermodynamics, kinetics, and transport
• Computational discovery of next-generation materials system for various applications
• Designing and implementing code for high-performance and high-throughput computing
• Application of machine-learning methods to computational materials science
• Writing reports, reviewing literature, and preparing presentations of results for project team meetings

Qualifications

• B.S., M.S., or pursuing a graduate degree at a top university in chemical engineering, physics, chemistry, materials science, or a related field.
• Experience in atomistic simulations, preferably density-functional theory, molecular dynamics, and/or quantum chemistry
• Solid foundations in materials science, solid-state physics, and/or chemistry
• Significant research and/or coding experience, preferably with fluency in Python and FORTRAN/C++
• Attention to detail, flexibility, creativity, and excellent communication and teamwork skills

Additional Information

APPLICATION INSTRUCTIONS:

• Submit your full CV, 1-page cover letter, a copy of up to 3 publications and list of 3 references to the application site. Applications will be reviewed on a rolling basis.

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

• FIRST Robotics (For Inspiration and Recognition of Science and Technology)
• AWIM (A World in Motion)