[ES_JOBS_NET] Postdoctoral Fellow - Atmospheric Scientist, NREL, Golden, CO

Christine Wiedinmyer christin at ucar.edu
Thu Jun 26 06:16:49 MDT 2014


*Postdoctoral Fellow - Atmospheric Scientist*
National Renewable Energy Laboratory-Golden, CO

See this link for the ad and way to apply:
*http://tinyurl.com/kk2u68s

*
Posting Title 	Postdoctoral Fellow - Atmospheric Scientist
Requisition Number 	3498BR
Location 	Golden, CO
Position Type 	Postdoctoral Researcher
Initial Assignment Length (Months) 	12
Hours Per Week 	40
About NREL 	The National Renewable Energy Laboratory (NREL) is a leader 
in the U.S. Department of Energy's effort to secure an energy future 
that is both environmentally and economically sustainable. With 
locations in Golden, Boulder and Washington D.C., NREL is the primary 
laboratory for research, development and deployment of renewable energy 
technologies in the United States. The NREL mission is to develop 
renewable energy and energy efficient technologies and practices, 
advance related science and engineering, and transfer knowledge and 
innovation to address the nation's energy and environmental goals.
Job/Research Summary 	To assist the Solar Resources & Forecasting Group 
with various research projects involving the measurement, modeling, and 
analysis of solar radiation resources for renewable energy applications. 
Solar radiation data of known quality are needed to characterize the 
weather-driven variability of this energy resource over a wide range of 
historical time scales (1 s -- decadal) and spatial scales (100 m -- 
global). These characterizations are fundamental to the siting, design, 
economic performance modeling, and acceptance testing of solar energy 
conversion systems. Solar resource and meteorological data are also 
needed for modeling building system thermal performance and energy 
efficiency analyses. These data are also critical for developing solar 
resource forecasts in support of the increased deployment of 
photovoltaic and solar thermal conversion systems for central and 
distributed electricity generation. In addition solar forecasting forms 
a critical component of future plans to install and operate of high 
penetrations of clean technologies on the grid. This person should be a 
self-starter with demonstrated ability to quickly address the various 
scientific and technical aspects of solar and atmospheric measurements, 
modeling, data quality assessments involving large data sets (TBytes). 
This person should be able to work with a broad range of external 
stakeholders, including scientists, engineers, economists, policy 
makers, and others engaged in aspects of renewable energy systems 
integration.
Job Duties 	Conduct scientific research to advance solar radiation 
resource measurements and modeling capabilities to improve the accuracy 
of solar forecasting at various times scales. Work with researchers, 
energy developers and utilities to acquire, manage and analyze existing 
resource and power production datasets. Investigate the use of 
satellite- and ground-based observations for estimating solar resources. 
Work at a high-level with DOE and organizations involved in weather 
forecasting and numerical weather prediction model development. Develop 
applications to provide solar resource data for the validation and 
improvement of atmospheric mesoscale models and provide inputs to 
real-time power plant forecasting. Develop scientific applications 
software for the analysis of solar radiation and meteorological 
parameters in time-series and geospatial domains. Work with the NREL web 
team to make solar resource and meteorological data publicly available 
as appropriate. Present research results to key stakeholders and publish 
scientific findings in technical journals and conference proceedings.
Required Education and Experience 	Must be a recent PhD graduate within 
the last three years.
Additional Required Knowledge, Skills and Attributes 	Required Knowledge:

Demonstrates broad understanding and wide application of scientific 
principles, theories, and concepts in atmospheric physics (including 
radiative transfer) and instrumentation for the measurement of solar 
radiation and clouds.

Demonstrates capability to develop new scientific ideas and work 
independently. Demonstrates good technical writing skill as proven by 
relevant technical publications. Good interpersonal and communication 
skills.

Additional Required Knowledge and Skills:

Significant knowledge of modeling clouds, aerosols and solar radiation 
for various applications including numerical weather prediction and 
retrievals using ground based and satellite datasets. Significant 
programming experience in C, C++ or Fortran and Matlab/IDL. Knowledge of 
solar radiometry with the ability to use measurements to develop 
solution for solar energy applications.
Preferred Qualifications 	Relevant Ph.D. in Atmospheric Science or 
Meteorology or equivalent. Ideal candidate will have modeling experience 
related to solar radiation and cloud physics for numerical weather 
prediction and satellite- and ground-based remote sensing.

Relevant science, engineering and R&D experience with peer-reviewed 
publications. Knowledge of solar resource characteristics, meteorology, 
atmospheric science, and measurement systems. Must be proficient in 
Microsoft Office products (Word, Excel, PowerPoint).
EEO Policy 	NREL is dedicated to the principles of equal employment 
opportunity. NREL promotes a work environment that does not discriminate 
against workers or job applicants and prohibits unlawful discrimination 
on the basis of race, color, religion, sex, national origin, disability, 
age, marital status, ancestry, actual or perceived sexual orientation, 
or veteran status, including special disabled veterans.

NREL validates right to work using E-Verify. NREL will provide the 
Social Security Administration (SSA) and, if necessary, the Department 
of Homeland Security (DHS), with information from each new employee's 
Form I-9 to confirm work authorization. For additional information, 
please seewww.nrel.gov/employment/eeo.html 
<http://www.nrel.gov/employment/eeo.html>.

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