The Geospatial Data Science (GDS) team in NREL's Strategic Energy Analysis Center has an immediate opening for a scientist to pursue several research projects targeting real-world energy system design problems. This position will support the growing research portfolio of the GDS team, creating new capabilities to analyze scenarios and design solutions for complex challenges in sustainable energy development for a variety of clients both within NREL and external to the laboratory. The successful candidate will develop novel analysis solutions to address research questions that are inherently spatiotemporal and include renewable energy resource characterization (e.g. solar or wind), technoeconomic modeling of energy production including assessment of social, physical and other factors, system performance modeling, scenario and uncertainty assessment, and imagery analysis. Responsibilities will include: Developing innovative spatiotemporal methods in machine learning, information extraction and predictive modeling to help researchers, clients, and stakeholders analyze and evaluate design strategies to uncover insights and implement sustainable energy solutions at various geographic and temporal scales; Integrating multiple data sources, models, and software tools with scientific and engineering workflows for decision support and data analysis. These workflows will include the use of distributed computing and utilization of both cloud and high-performance parallel computing (HPC) resources; Evaluating and communicating results through written research reports for publication in journals and presentation at seminars, participating in group meetings and seminars, and assisting in developing proposals for new research directions. Requirements PhD in Ecology, Physics, Geography, Environmental Science, Computer Science, Atmospheric Science or related. Or, Master's Degree in Ecology, Physics, Geography, Environmental Science, Computer Science, Atmospheric Science or related and 3 or more years of experience . Or, Bachelor's Degree in Ecology, Physics, Geography, Environmental Science, Computer Science, Atmospheric Science or related and 5 or more years of experience.