Position Description
This is a career-track PhD-level research scientist position in the Forecast Applications and Social Science Team at the Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at the University of Oklahoma (OU) in collaboration with NOAA’s Storm Prediction Center (SPC) and National Severe Storms Laboratory (NSSL).
Overview
The incumbent will provide scientific and technical expertise to develop and enhance activities that: accelerate new tools from research to operations, inspire new initiatives for operationally relevant research, and identify and document sensitivities and performance of state-of-the art convection-allowing models.
These activities will be in support of the annual NOAA/Hazardous Weather Testbed (HWT) Spring Forecasting Experiments (SFEs) and real-time, year-round experimental prediction systems.
The ideal candidate will be excited about presenting and publishing their research.
The position will be based at the National Weather Center in Norman, OK, a highly collaborative forecasting, research, and academic environment containing a number of NOAA and OU organizations.
The incumbent will work directly with research scientists at NSSL and operational forecasters at SPC, and will be co-supervised by CIWRO scientists at both organizations (NSSL and SPC).
Job Responsibilities
Lead efforts to enhance and develop web-based visualizations for the following: real-time ensemble data for NOAA/HWT SFEs, operational systems (e.
g.
, High-Resolution Ensemble Forecast System), and real-time experimental systems that operate year-round (e.
g.
, NSSL-WRF, NSSL-MPAS, and Warn-on-Forecast)
Lead post-experiment analyses of convection-allowing ensembles from Community Leveraged Unified Ensemble (CLUE) experiments, subjective model evaluations, and other experimental and operational systems used in the SFE
Engage in the broader research community through public dissemination of research via conferences, workshops, peer-reviewed journal articles, and hazardous-weather-related outreach events
Work normal hours except for occasional irregular hours during data collection, warning/forecast experiments or workshops conducted at remote sites
Qualifications
United States citizenship
A PhD in Meteorology, Atmospheric Science, Computer Science, or related field
Knowledge and experience in web development and graphic design/visualization of models, as well as knowledge in severe storms meteorology, numerical weather prediction models/ensemble systems including convection-allowing models, and application of statistical techniques for forecast verification
Proficiency in Linux (Unix) environments and python, and a strong understanding of JavaScript (including JQuery), PHP, CSS stylesheets, and how to implement dynamic web-based data visualizations through libraries such as D3
Excellent oral and written communication skills
Beginning salary is commensurate with degree and experience.
Information on OU benefits can be found at https://jobs.
ou.
edu/Discover-OU.
CIWRO supports a diverse, non-discriminatory workforce that respects the culture, beliefs, and practices of all employees.
Our flexible work hours and easy area commutes enable employees to address personal needs without sacrificing paid leave.
CIWRO has a structured career-track program that allows for advancement and professional prestige all while maintaining a healthy work/life balance.
Information on living in Norman Oklahoma and the surrounding communities can be found at https://hr.
ou.
edu/Employees/University-Community-Resources/Norman-Area.
How to Apply
Send a statement of interest highlighting how you meet the position qualifications, your resume/CV, and a list of three professional references to:
CIWRO Careers
University of Oklahoma CIWRO
120 David L.
Boren Blvd.
, Suite 2100
Norman, OK 73072-7304
ciwro-careers@ou.
edu
ATTN: RS Model Analysis & Web Dev
For more information about this position, please contact Dr.
Kim Hoogewind (kimberly.
hoogewind@ou.
edu).
The University of Oklahoma is an equal opportunity/Affirmative Action employer.
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