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

National Renewable Energy Laboratory

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About The Position

This position is looking for a year-round intern (summer intern is also acceptable) who has strong technical background in machine learning (ML) and artificial intelligent (AI) applications in cyber-physical power systems, ideally on the distribution grid with distributed energy resources (DERs). The intern will work on projects developing learning-based analytics, and cyber-attack-resilient control strategies and optimizations for power distribution systems. The intern will also be responsible for conducting literature review, identifying gaps and summarizing new research opportunities. The ideal candidate should be able to conduct research work independently and also collaborate with project PI and other researchers from the project team.

Requirements

• 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.
• 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.
• 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
• All candidates must be authorized to access the facility per DOE rules and guidance within a reasonable time frame for the specified position in order to be considered for an interview and for hiring.
• All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation.

Nice To Haves

• Experience in using high performance computers
• Experience in using Linux systems

Responsibilities

• Conducting literature review
• Identifying gaps
• Summarizing new research opportunities
• Conduct research work independently
• Collaborate with project PI and other researchers from the project team

Benefits

• Benefits include medical, dental, and vision insurance
• 403(b) Employee Savings Plan with employer match
• Sick leave (where required by law)
• NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component.
• Some positions may be eligible for relocation expense reimbursement.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees