Computational Materials Science Intern Details

Computational Materials Science Intern

Bosch Group - Sunnyvale, CA

Employment Type : Full-Time

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 (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.

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

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.

Required Qualification:

• Pursuing a graduate degree at a top university in physics, chemistry, materials science, or a related field
• Solid foundations in materials science, solid-state physics, and/or chemistry
• Experience in atomistic simulations, preferably density-functional theory or quantum chemistry
• Ability to work remotely

Desired Qualification:

• Research and coding experience, preferably with fluency in Python and FORTRAN/C++
• Working experience with maximally localized Wannier functions, Hubbard models, Anderson impurity models, dynamical mean-field theory, or Green's functions methods is a plus
• Familiarity with quantum circuits or quantum assembler code (Cirq, Qiskit, Qasm) is a plus

• Please include your resume in your application.

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)