NREL Postdoctoral Researcher-Wind Resource Modeling and Characterization Researcher in Boulder, Colorado
Postdoctoral Researcher-Wind Resource Modeling and Characterization Researcher
CO - Boulder
Postdoc (Fixed Term)
Hours Per Week
The National Wind Technology Center is seeking a postdoctoral researcher with a strong background in atmospheric science to help lead research in offshore resource characterization. Given the emergence of the offshore wind industry in the United States, there is an urgent need for accurate characterization of the offshore wind resource and understanding of the various atmospheric processes controlling that resource.
The candidate will conduct research in the following areas:
Mesoscale modeling of atmospheric variables relevant to wind energy, including wind speed, wind direction, atmospheric stability, and turbulence using the Weather Research and Forecasting (WRF) model
Quantification of the modeled and observed resource at various timescales and using various techniques
Characterization of offshore atmospheric turbulence and stability using available observations and assessment of WRF model representation of turbulence and stability
Novel methods for extrapolating near-surface wind speeds to hub-height
This successful candidate is expected to demonstrate a broad understanding and wide application of atmospheric principles, theories and concepts. The candidate will have excellent writing, interpersonal, and communication skills. The candidate will be expected to publish results in high-impact technical journals and present work at conferences, symposia, and review meetings.
Must be a recent PhD graduate within the last three years in Engineering, Science or Math.
The preferred candidate will have experience with the following:
Expertise in the field of wind energy meteorology, resource assessment, forecasting, and energy assessment processes used by the wind industry.
Expertise in using and validating the WRF mesoscale model
Expertise in a Linux-based high-performance computing environment
Proficiency in Unix and Python scripting languages
Experience in processing and analyzing observed and modeled atmospheric data, including data from meteorological towers, remote sensing instrumentation, reanalysis products, and mesoscale models
Track record of publications in high impact factor journals
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