Please apply through the link below. Please include resume in your application.

https://jobs.smartrecruiters.com/BoschGroup/743999705104790-computational-material-science-intern

Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (http://www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.

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.

In this particular position, the intern will work on modeling self-assembled monolayers (SAM) of organosilane molecules on oxidized Si surfaces using tools such as density functional theory (DFT) and molecular dynamics (MD). The goal is accurate prediction of surface free energies, energy barriers of chemical degradation reactions, and robustness against mechanical wear. This work is relevant for the development of anti-stiction coatings for Si-based MEMS devices.

As part of Bosch Corporate Research, we are dedicated to long-term fundamental investigations of transformative energy technologies. 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.

Required 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
• Solid foundations in materials science, solid-state physics, and/or chemistry
• Attention to detail, flexibility, creativity, and excellent communication and teamwork skills

Desired Qualifications:

• Experience in atomistic simulations, preferably density-functional theory, molecular dynamics, and/or quantum chemistry
• Significant research and/or coding experience, preferably with fluency in Python and FORTRAN/C++
• Experience building atomistic models of complex systems including interfaces, nanoparticles, and/or amorphous materials

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

• FIRST ROBOTICS (For Inspiration and Recognition of Science and Technology)
• AWIM (A World In Motion)