Posting Title

Graduate (Summer) Intern for Autonomous Experimentation and Materials Informatics

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Location

CO - Golden

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Position Type

Intern (Fixed Term)

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Hours Per Week

40

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Working at NREL

The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.

Join the National Renewable Energy Laboratory (NREL), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NREL stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.

At NREL, you’ll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.

Learn about NREL’s critical objectives: NREL's Mission and Vision.

Job Description

NREL is seeking a motivated and talented Research Participant Program (RPP) Intern to join the Analytical Microscopy and Imaging Sciences Group. The successful candidate will contribute to the development of autonomous experimentation workflows using machine learning, robotics, and automated systems for materials science applications. This internship offers an exciting opportunity to work at the cutting edge of materials science and data science, with the potential to contribute to research that could transform our understanding of materials for energy technologies and next-generation computing.

Key Responsibilities:

• Develop and implement machine learning for automated analysis of microscopy data
• Design and implement automated control systems for scientific instrumentation, including integration with robotic platforms
• Collaborate with researchers to design and conduct experiments to generate data for algorithm training and validation
• Participate in the development of data analysis pipelines and workflows
• Contribute to code development on NREL-hosted GitHub repositories
• Present and document findings in reports and presentations to the team

To learn more about some of the work the Analytical Microscopy and Imaging Science Group does, check out the following links:

• https://www2.nrel.gov/materials-science/analytical-microscopy-imaging-science
• https://doi.org/10.1038/s41524-023-01142-0
• https://doi.org/10.1017/S1431927622012065

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Basic Qualifications

Minimum of a 3.0 cumulative grade point average.

Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution.
Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Elig