Masters Intern Renewable Systems Modeling, Control, and Design Optimization

$41,392 - $62,400/Yr

Pacific Northwest National Laboratory - Indianapolis, IN

Full-time - Intern

Indianapolis, IN

Professional, Scientific, and Technical Services

About the position

The Electricity Infrastructure and Buildings Division of PNNL is seeking a highly motivated intern to collaborate remotely with scientists in developing advanced modeling and optimization algorithms for energy and power systems. This internship offers a transformative experience, combining rigorous technical development with practical applications in renewable energy and power systems, aimed at accelerating the transition to a decarbonized and efficient energy system.

Responsibilities

• Create dynamic models and system-level controls for renewable energy-dominated systems.
• Develop optimization algorithms for various use cases, such as microgrids and offshore wind farms.
• Translate developed optimization models into a user-friendly software environment, adhering to best practices in software engineering.
• Develop machine learning models that are crucial for optimization formulations.

Requirements

• Must be matriculated/enrolled in a Master's program at an accredited college or university.
• Minimum GPA of 3.0 is required.
• Strong understanding of optimization and libraries such as IPOPT, CVXPY, GROUBI.
• Strong understanding of object-oriented design, data structures, and algorithms.
• Strong understanding of renewable energy systems modeling, control, and optimization.
• Excellent software development skills in Julia and Python.
• Proficiency in Julia, JUMP, Python, and machine learning libraries/tools (Pytorch, Jax, etc.).
• Experience in writing scientific software packages (Julia/Python).
• Demonstrated ability to produce algorithmic code in a fast-paced environment.
• Excellent publication record at top optimization, control conferences and/or journals.
• Good communication skills (written and spoken).

Nice-to-haves

• Cumulative GPA of 3.5 preferred.
• Experience with machine learning libraries/tools (Pytorch, Jax, etc.).

Benefits

• Health insurance
• Flexible work schedules
• Telework options
• Employee assistance program
• Business travel insurance
• Company funded pension plan
• 401k savings plan