90 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at National Renewable Energy Laboratory NREL
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
-
production cost and resource adequacy models, statistical and data analysis—primarily for transmission planning and data center integration. You’ll collaborate with a dynamic team working with utilities
-
topics, and developing optimization models and/or data-driven controls that are related to at least one of the following topics: Developing energy management strategies related to ADMS, DERMS, microgrid
-
Center for Integrated Mobility Sciences on database development, data processing, and dashboard development to support analysis of mobility trends and energy implications of emerging transportation
-
with project team members on the following tasks: Analyze utility feeder data Analyze grid topologies and data corrections Quantify grid visibility criteria and conditions Determine best locations for
-
to collect ground-truth data on escaped waste, and facilitate stakeholder engagement sessions with city departments, local businesses and residents to understand the full breadth of escaped waste’s influence
-
by customers triggers Cyber input and intervention as needed, supports Cyber assessment by gathering and providing information Works with customers to maintain optimal performance and functioning
-
to specific field. Excellent leadership, project management and problem solving skills. Ability to use various computer software programs. * Must meet educational requirements prior to employment start date
-
management and problem solving skills. Ability to use various computer software programs. * Must meet educational requirements prior to employment start date. Additional Required Qualifications Ability
-
assist in developing quantum reservoir computing algorithms and work using them to model power systems data from, in particular, NLR’s ARIES platform, to explore the limits of quantum reservoir computing