[ES_JOBS_NET] Postdoctoral Researcher in Atmospheric Sciences for Wind Energy, National Wind Technology Center, NREL, Colorado

Christine Wiedinmyer christine.wiedinmyer.ucar at gmail.com
Wed Dec 27 14:08:16 MST 2017

Postdoctoral Researcher in Atmospheric Sciences for Wind Energy


The National Wind Technology Center is seeking a post doc to contribute to
the wind resource characterization research program focused on development
and application of new resource methodologies and technologies for use by
the wind industry. The program includes examination of atmospheric processes
over a range of scales from mesoscale to microscale that influence wind
energy systems using both computational modeling and field deployed
observational systems.


The successful candidate will primarily focus on wind, and will collaborate
with other NREL staff to carry out research in the following areas:


  *   Development, deployment, and validation of atmospheric observation
systems including new remote sensing technologies

  *   Research of the next generation models that bridge the mesoscale and
microscale for estimation of short and long-term energy production.


This post doc is expected to demonstrate a broad understanding and wide
application of atmospheric principles, theories, and concepts, in particular
in the area of remote sensing and measurements. A general knowledge of wind
energy related disciplines and applications is an advantage.

The successful candidate will have excellent writing, interpersonal and
communication skills. The candidate will be expected to publish results in
technical journals/conference proceedings and presenting work at
conferences, symposia, and review meetings.


Required Education, Experience, and Skills Must be a recent PhD graduate
within the last three years.


Preferred Qualifications

The preferred candidate will have:


  *   A strong expertise in atmospheric observational platforms and data
analysis techniques for tower based instrumentation and remote sensing.

  *   Experience with atmospheric modeling tools such as WRF, and validation

  *   Familiarity with wind forecasting and energy assessment processes,
including the data analysis and uncertainty processes.

Candidates with engineering backgrounds but strong knowledge of atmospheric
science are also encouraged to apply.





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