Intern, R&D Graduate Summer - Consortium for Research and Education in Power and Energy Systems

What Your Job Will Be Like:

We are seeking a Summer - R&D Graduate Intern from one of the university partners in the Consortium for Research and Education in Power and Energy Systems (CREPES) (Florida International University, University of Texas at El Paso, and Alabama A&M University) to join our research organization during the summer of 2026. This initiative is sponsored and funded by the NNSA Minority Serving Institutions Partnership Program (MSIPP) for Sustainable STEM Workforce.

On any given day, you may be called on to:

• Collaborate with a mentor and a team of researchers for a specific project and task.
• Perform valuable research and development to solve complex problems.
• Gather and analyze data for grid, energy systems, and cyber-physical system to help answer complex research questions.
• Work on power & energy systems, in areas such as:
• Grid security
• Data center grid integration
• Complex optimization and forecasting
• Artificial Intelligence, machine learning, and data science
• Real-time simulation in smart grid operations
• Power market and reliability
• Power system modeling, control, and optimization,
• Economic operation of power systems
• Work on cyber-physical systems, in areas such as:
• Cyber resiliency and cyber threats for control centers
• Cyber-physical test bed
• Data sharing and analytics including privacy
• SCADA and Communications
• Cybersecurity and cyber attack in smart grid
• Smart grid vulnerability
• Data analytics

At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here (https://(Use the "Apply for this Job" box below).)

.

You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:

• Earned bachelor's degree
• Currently attending and enrolled full time in the spring term immediately preceding the internship (or scheduled to graduate in the spring) in an accredited science, engineering, or math graduate program
• Minimum cumulative GPA of 3.0/4.0
• Ability to work up to 40 hours per week during the summer
• U.S citizens, legal permanent residents, asylees or refugees in the U.S.

Note:

If you have not yet started your graduate program, please apply to an undergraduate intern position.

• Currently attending and enrolled full time (or scheduled to graduate in the spring) in an accredited science, engineering, or math graduate program at one of the following CREPES partner universities:
  Florida International University, University of Texas at El Paso, or Alabama A&M University
• Pursuing a degree in an engineering or related scientific field
• Interest in Power and Energy Systems and/or Cyber-Physical Systems
• Experience coding or in software development
• Excellent verbal and written communication skills
• Self-motivated and able to work independently with minimal supervision
• Ability to work in a team environment

This posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’. Sandia reserves the right to extend the posting date at any time.

The Electric Power Systems Research Department conducts R&D and advanced analytics to enable the modernization of the nation's electric power grid. This work includes the development of improved planning and operations methodologies from the bulk system down to end users. Our capabilities encompass the development and application of advanced algorithmic and computational methods, grid operations, economics, and policy. Examples of specific core areas include power system dynamics, operational reliability, electricity market development, smart grid technologies and related information analysis, optimal resource expansion, and computationally based decision support.

This department is highly inter-disciplinary, working collaboratively with universities, utilities,…