looking for a year-round intern (summer intern is also acceptable)
work on projects developing learning-based analytics
cyber-attack-resilient control strategies and optimizations for power distribution systems
conducting literature review
identifying gaps and summarizing new research opportunities
conduct research work independently
collaborate with project PI and other researchers from the project team

Requirements

Minimum of a 3.0 cumulative grade point average
Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution
Earned a bachelor’s degree within the past 12 months
Must be enrolled as a full-time student in a master’s degree program from an accredited institution
Earned a master’s degree within the past 12 months
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

Benefits

medical, dental, and vision insurance
403(b) Employee Savings Plan with employer match*
sick leave (where required by law)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

neural networkslearning algorithmsreinforcement learningfederated learningnatural language learninggraph neural networkPythoncyber-physical power systemspower distribution systemsmodeling of cyber/network components

Soft skills

independent researchcollaborationliterature reviewgap identificationsummarization