The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) collaborates with the National Severe Storms Laboratory (NSSL) to contribute to the Warn-on-Forecast (WoF) program (https://wof.nssl.noaa.gov/). A major activity at NSSL over the past decade has been the research, development and evaluation of storm-scale Numerical Weather Prediction (NWP) modeling for hazardous weather threats. Accurate and reliable 3D depiction of severe convection is critical to successfully develop NWP model guidance. One of the biggest challenges associated with this work is that the 3D state of the atmosphere at the convection scale is poorly known. To address the issue, this research will develop a regional and rapidly updating 3D atmospheric analysis system using operational Gridpoint Statistical Interpolation based ensemble Kalman filter and ensemble-variational data assimilation system. Results from this high-resolution analysis will be used to help verify the NSSL WoF System ensemble predictions and help improve model guidance.

Responsibilities May Include:

Special Indications

• The position is based at the National Weather Center in Norman Oklahoma and offers the opportunity for career development in the form of promotion opportunities, the ability to contribute to the NOAA mission on a wide range of topics, visibility in the broader field at conferences and technical meetings, and a rewards/merits system that acknowledges professional excellence.
• CIWRO supports flexible work hours and a hybrid work environment.
• CIWRO's structured career-track program allows for advancement and professional prestige while maintaining a healthy work/live balance.

To Apply: Send a statement of interest highlighting how you meet the position qualifications, your resume & cover letter, and a list of three professional references to ciwro-careers@ou.edu. Enter in the subject line: ATTN Post Doc Warn-on-Forecast. 

Required Education: PhD degree in Atmospheric Science or related field

Skills:

• Advanced knowledge and skill in Numerical Weather Prediction, data assimilation, and observations of atmosphere
• Demonstrated skill in modern Fortran programming, shell scripting, python
• Use of high-performance computer and data analysis/visualization tools
• Ability to work both independently and cooperatively with others
• Excellent oral and written communication skills

Certifications: None

Physical Requirement: Must be able to engage in repetitive motions and communicate effectively. Frequent exposure to pressure caused by deadlines and busy periods; ability to communicate, including expressing oneself or exchanging information with others; ability to use a computer daily.

Special Instructions: If you are selected as a final candidate for this position, you will be subject to The University of Oklahoma Norman Campus Tuberculosis Testing policy.  To view the policy, visit https://hr.ou.edu/Policies-Handbooks/TB-Testing .

Diversity Statement: The University of Oklahoma is committed to achieving a diverse, equitable, and inclusive university community by recognizing each person's unique contributions, background, and perspectives. The University of Oklahoma strives to cultivate a sense of belonging and emotional support for all, recognizing that fostering an inclusive environment for all is vital in the pursuit of academic and inclusive excellence in all aspects of our institutional mission.

Equal Employment Opportunity Statement: The University of Oklahoma, in compliance with all applicable federal and state laws and regulations, does not discriminate based on race, color, national origin, sex, sexual orientation, genetic information, gender identity, gender expression, age, religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes, but is not limited to, admissions, employment, financial aid, housing, services in educational programs or activities, and health care services that the University operates or provides.