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National Laboratory of the Rockies · 20 hours ago

Graduate PhD Student (Year-Round) Machine Learning Applications for Cyber-Physical Power System Operations Intern

United States

Internship

Remote

Intern

$51K/yr - $82K/yr

National Laboratory of the Rockies (NLR) is a leading laboratory for energy systems research and development. They are seeking a year-round intern with a strong technical background in machine learning and artificial intelligence applications in cyber-physical power systems to work on developing analytics and control strategies for power distribution systems.

Clean EnergyCleanTechEnergyRenewable Energy

Responsibilities

Work on projects developing learning-based analytics, and cyber-attack-resilient control strategies and optimizations for power distribution systems

Conduct literature review, identifying gaps and summarizing new research opportunities

Conduct research work independently and collaborate with project PI and other researchers from the project team

Qualification

Machine LearningArtificial IntelligenceCyber-Physical SystemsPythonNeural NetworksReinforcement LearningResearch SkillsCollaboration

Required

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. Eligible for an internship period of up to one year

Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution

Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year

Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution

Currently enrolled Ph.D. students in power systems engineering, electrical engineering, or other relevant areas

Have a good fundamental knowledge of neural networks, state-of-the-art learning algorithms, and their applications to complex systems

Experienced in one or more ML/AI techniques, such as reinforcement learning, federated learning, natural language learning, graph neural network

Experience working on cyber-physical power systems, ideally on the distribution grid with distributed energy resources (DERs) and modeling of cyber/network components

Proficiency in using Python

Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process

If selected for position, a letter of recommendation will be required as part of the hiring process

Must meet educational requirements prior to employment start date