Intern Summer – R&D Graduate

Job Description

Intern Summer – R&D Graduate | Sandia National Laboratories

The Tone:
This is a summer internship at Sandia National Laboratories, focused on research and development for resilient energy systems. The company builds cutting-edge technology for national security, offering challenging work with global impact. This role is crucial for advancing the performance, safety, reliability, and resilience of energy systems through model development, simulation, and experimental validation in a national laboratory environment.

The TL;DR
• Role: Internship
• Type: Temporary, Part-time
• Team: Resilient Energy and Distributed Systems Integration department
• Mission: Develop, validate, and analyze models and control strategies for resilient and reliable distributed energy resources and microgrid systems.
• Tech Stack: MATLAB/Simulink, Python

What You’ll Actually Do
• Reporting: Document research outcomes, contributing to technical reports, presentations, and summaries.
• Modeling: Develop and validate numerical models for energy power conversion and microgrid systems using MATLAB/Simulink.
• Simulation: Conduct simulation studies of power electronics converters, coordinated control strategies, and energy integration applications.
• Analysis: Analyze simulation and experimental data to evaluate system performance, stability, and efficiency under varying operating conditions.
• Testing: Participate in Hardware-in-the-Loop (HIL) experiments for grid integration and microgrid-scale validation of marine energy systems.

The Must-Haves
• Background: Earned bachelor’s degree; currently enrolled full-time in an accredited science, engineering, or math graduate program, or scheduled to graduate in the spring term immediately preceding the internship.
• Experience: Minimum cumulative GPA of 3.0/4.0; ability to work up to 40 hours per week during the summer.
• Skills: Ability to secure and maintain a U.S. security clearance, which requires U.S. citizenship.
• Bonus: Proficiency in Matlab, Simulink, and Python; familiarity with design optimization and Hardware-in-the-Loop (HIL) tests; experience developing numerical models for energy systems; computer science or cybersecurity training.