The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Watertown, Massachusetts is part of the global Bosch Group (), a company with over 90 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.
The Computational Materials Science team in Watertown specializes in atomistic and mesoscale simulation to improve Bosch products through deep understanding of thermodynamic, kinetic, and transport phenomena on an atomic level. Using quantum mechanical and classical simulations, and machine learning, our team focuses on application areas which include electrochemistry, energy conversion, sensors, and sustainability. Our work directly contributes to the development of innovative solutions for real-world challenges.
We are seeking a highly motivated and skilled intern for a 1.5 year (until Dec 2027) internship in our Computational Materials Science team. The intern will focus on MLIP multi-fidelity frameworks, workflows, review literature, and prepare presentations of results for project team meetings.
Key responsibilities:
Learning and development opportunities
Interns gain hands-on experience in industry research alongside experienced engineers and fellow interns. Past interns often complete one or more patents, software packages, or publications, as well as develop valuable skills in their careers. Approximately half of associates on our team are former interns, demonstrating a potential for long-term growth and opportunities.
Candidates must have:
Desired
The U.S. base salary range for this intern position is $30.00-$59.00 per hour . Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.*
All your information will be kept confidential according to EEO guidelines.
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