#TransformingEnergy

Graduate PhD Student – Machine Learning Applications for Cyber-Physical Power System Operations Intern

Machine Learning EngineerMachine Learning EngineerInternshipRemoteEntry LevelTeam 1,001-5,000Since 1977H1B No SponsorCompany Site LinkedIn

Location

Colorado

Posted

66 days ago

Salary

$51.2K - $81.9K / year

Seniority

Entry Level

Postgraduate DegreeEnglishPython

Job Description

• 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

Job 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