Job Description

Bosch Research seeks one or more interns specializing in atomistic computational materials science to join the materials design team. Our goal is to improve 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, including for electrochemistry, energy conversion, and sensors.

The intern will focus on one or more of the following, and will be expected to write reports, review literature, and prepare presentations of results for project team meetings.

• Development and application of atomistic methods for understanding thermodynamics, kinetics, and transport
• Computational discovery of next-generation materials system for technology applications
• Designing and implementing code for high-performance and high-throughput computing, including machine-learning methods

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

Qualifications

REQUIRED QUALIFICATION:

• Ph.D. candidate at a top university in chemical engineering, physics, chemistry, materials science, or a related field.
• Experience in atomistic simulations, including at least one of: density-functional theory, molecular dynamics, and quantum chemistry
• Solid foundations in materials science, solid-state physics, and/or chemistry
• Attention to detail, flexibility, creativity, and excellent communication and teamwork skills

DESIRED QUALIFICATION:

• Significant research experience, including high-impact publications, patents, and/or open-source codes
• Strong background in physics and coding, and passion on working and understanding physics-based devices
• Atomistic simulation experience including one or more of: machine-learned interatomic potentials, data-driven material design, large biomolecules, reaction kinetics, polymer physics, PEM fuel cells, or tribology
• Experience applying machine learning or artificial intelligence to atomistic physics simulations

Additional Information

• DURATION: 14 weeks (estimate)

• Please include 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)

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