[Oppslist] Postdoctoral Fellow at U. Maryland and US National Weather Service

[Steve Penny - NOAA Affiliate]

Postdoc Opportunity at the University of Maryland and the US National
Weather Service

The University of Maryland, in association with the US National Weather
Service (NWS), is seeking to fill a position for a post-doctoral fellow at
NOAA's National Centers for Environmental Prediction's (NCEP) Environmental
Modeling Center (EMC). The successful candidate will support NCEP/EMC with
the development and application of neural network techniques to improve the
data assimilation systems in association with the state-of-the-art wave
model WAVEWATCH III, within NCEP's operational wave guidance systems and
products. The effort aims to improve global-scale wind-wave probabilistic
forecasts and products beyond week 2, and is part of NWS's R2O initiative,
associated with the establishment of NOAA's Next Generation Global
Prediction System (NGGPS).

The candidate will work in an operational research environment, as part of
a team of scientists at UMD and EMC. Tasks are to be performed at
facilities located in College Park, MD. The performance period is expected
to start in early October 2016.
Specific Tasks

The candidate will work with scientists at EMC and UMD to improve the skill
and products generated by NCEP's Global Wave Ensemble System (GWES)
<http://www.opc.ncep.noaa.gov/gwes_explain.php>.

Specific objectives are to:

   1. Improve the GWES wave-height predictability (resolution and
   reliability), measured by wave-height skill scores including: CRPS, biases,
   RMS errors, rank histograms, and spread-skill ratios,
   2. Extend the skillful forecast range from 10 days into week 3,
   3. Provide a set of preprocessed observational data to remove
   observation network biases,
   4. Provide a range of new post-processed forecast and analysis products,
   attending the needs of its main users, including NOAA's Ocean Prediction
   Center (OPC) and National Hurricane Center (NHC).

Education And Experience

A Ph.D. (or equivalent) in Physical Oceanography, Ocean Engineering,
Atmospheric Sciences, Applied Mathematics, Scientific Computing, or a
related physical or applied science. Experience in the area of wave
modeling, neural networks, and/or data assimilation is highly desired.
Knowledge, Skills And Abilities


   - Experience with the wave model WAVEWATCH III , neural network
   techniques, environmental statistics, and/or data assimilation,
   - Experience with code development in FORTRAN, scripting in Linux/Unix
   shell environments and familiarity with IDL, Matlab and/or Python,
   - Experience High Performance Computing (HPC) environments - for example
   with running environmental models, complex jobs, and processing large
   amounts of observed and modelled output data,

Desired Skills


   - Experience in using mainframe supercomputers and/or workstations in a
   FORTRAN/UNIX environment, using statistical and display tools,
   - Proven ability to work well in a team environment,
   - Proven track record of producing relevant peer-reviewed publications,
   - Good written and oral communication skills.

Contact

Please contact Professor Steve Penny at the University of Maryland (send
to: Steve.Penny at noaa dot gov, and Henrique.Alves at noaa dot gov)
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