Sort by
Refine Your Search
-
benefits package designed to support your career and well-being. Job Description This employee will collect the required data and develop fundamental methods and software tools and interfaces required
-
Posting Title Graduate PhD (summer/year-round) Intern - AI Foundation Model for Power System Optimization . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working
-
, and state estimation. We develop next-generation analytical frameworks and software tools to enhance situational awareness, adaptive control, and resilient operation of modern distribution systems with
-
• Develop control techniques for high-power inverter-based resources • Analyze novel grid-forming control followed by software and hardware validation • Analyze inverter and power
-
to write clear and concise policies, training documents, investigative/formal reports, and operational documents. Background and knowledge related to SCI regulations, facilities, and SCI control systems
-
, processing, and modeling methods. Contribute to research products including reports, publications, presentations, and software tools. Support concept paper and proposal development by providing data, analysis
-
converters interfacing various MW-scale distributed energy resources. • Develop advanced control methods for high-power converters at different timescales and layers, such as grid-forming control
-
, the goal is to solve large-scale nonlinear problems efficiently while preserving theoretical guarantees. The intern will contribute to developing scalable learning-based optimization methods for next
-
, and geospatial modeling and visualization. Our team of researchers develops and applies geospatial algorithms and methods to evaluate the deployment potential for energy technologies, including
-
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. Please Note