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April 2018
Message 67

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[Met-jobs] Research Scientist - Warn on Forecast Numerical Modeler

From "Reinke, Tracy L." <treinke@ou.edu>
To "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Date Wed, 18 Apr 2018 14:13:40 +0000

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma seeks to fill a Research Scientist position for its collaborative research as a Cooperative Institute with the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR) National Severe Storms Laboratory (NSSL).  The Research Scientist will participate in NSSL’s Warn on Forecast research program.

 

Background: 

CIMMS in collaboration with NSSL is funded to develop and demonstrate the value from a probabilistic ensemble-based convection-resolving model forecast system to help increase lead times for hazardous weather events.  Increasing severe thunderstorm, flash flood, and tornado warning lead times is a key NOAA strategic mission goal designed to reduce the loss of life, injury, and economic costs of high impact weather.  A successful candidate for this position will conduct a collaborative research program to improve NSSL's storm-scale NWP efforts by researching improvements and/or alternative approaches to our current convective-scale ensemble and hybrid prediction systems.  Candidates will be expected to develop new research efforts in one or more of the following areas:  improvement of ensemble performance via algorithm development and/or the use of stochastic approaches, optimizing the use of high-resolution radar and satellite observations for convective scale data assimilation, or the use of machine learning for data assimilation or for post-processing of ensemble output.  While a candidate will need to be self-directed, they will work closely with other members of NSSL’s Warn on Forecast team.  The candidate will also have opportunities to participate in NOAA’s Hazardous Weather Testbed experiments each year, as well as collaborate with scientists from our partners at the National Weather Center as well as other NOAA laboratories working on high-impact convective weather.  The candidate will be expected to present his/her work at national conferences and publish in peer-reviewed journals regularly. 

 

Desired Qualifications: 

  • PhD in the physical sciences (Physics/Math/Remote Sensing/Meteorology or related area) with professional experience as a scientific researcher and programmer. 
  • Experience with running numerical weather prediction models and familiarity with ensemble data assimilation methods (WRF/DART and/or GSI-EnKF experience is a plus).
  • Proficiency with common programing and scripting languages (emphasis on FORTRAN, CSH, Python languages) in UNIX environments.
  • Ability to work and communicate in a team environment effectively.
  • Ability to write proposals to obtain funding support for research activities.

 

The beginning salary will be based on qualifications and experience with benefits provided through The University of Oklahoma (https://hr.ou.edu/Employees/New-Employees-at-OU/OU-Benefits-Overview). The start date for the position is negotiable.

 

To apply for the position, please forward your resume, cover letter and list of three references to:

 

Tracy Reinke

Executive Director, Finance and Operations

University of Oklahoma CIMMS

120 David L. Boren Blvd., Suite 2100

Norman, OK 73072-7304

treinke@ou.edu

ATTN: WoF Data Assimilation

 

The University of Oklahoma is an equal opportunity/Affirmative Action employer.

 

 

Tracy Reinke, CRA

Executive Director, Finance and Operations

Cooperative Institute for Mesoscale Meteorological Studies

The University of Oklahoma

120 David L. Boren Blvd., Suite 2100

Norman, OK 73072-7304

(405) 325-3043

(405) 325-3098 (FAX)

 

 



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