Postdoctoral Fellow

University of Oklahoma; Oklahoma; On-site; USD 60,000 - 75,000; Full time

Job summary

The CHAOS research group at the University of Oklahoma Norman Campus, School of Meteorology, invites applications for a Postdoctoral Research Fellow to develop extreme precipitation forecast models using machine learning. The fellow will aggregate input datasets, train AI models, and evaluate performance for both historical and real-time predictions.

Based at the National Weather Center, you will collaborate with researchers across the School of Meteorology and interdisciplinary partners, with a

Qualifications

• Ph.D. in Atmospheric Science, Meteorology, Computer Science, Physics, Mathematics, or related disciplines within the last 3 years.
• Experience with programming languages for AI/ML algorithm development and data analysis.

Responsibilities

• Develop extreme precipitation forecast models using machine learning.
• Aggregate input datasets and train AI models.
• Evaluate historical and real-time prediction performance for operational partners.
• Collaborate within the National Weather Center and with NOAA partners.

Skills

AI/ML programming

Communication skills

Weather forecasting / mesoscale meteor

Education

Ph.D. in Atmospheric Science / Meteorology / Computer Science / Physics / Mathematics or related

Job description

University of Oklahoma Norman Campus: Atmospheric and Geographic Sciences: School of Meteorology

Location

University of Oklahoma- Norman Campus

Open Date

Oct 23, 2026

Description

The CHAOS (Convection and weather Hazards with Artificial intelligence, Observations, and Simulations) research group led by Dr. Aaron Hill in the School of Meteorology at the University of Oklahoma is hiring a Postdoctoral Research Fellow to develop extreme precipitation forecast models with machine learning. The postdoc will be responsible for aggregating input datasets, training machine learning models, and evaluating historical and real-time prediction performance for operational partners. The prediction system will extract prediction information from global AI weather models to produce 1–8 day forecasts across global areas of interest. The successful candidate will join a new research center at the University of Oklahoma focused on extreme weather resiliency. The researcher will be supervised by Dr. Aaron Hill and will collaborate with other researchers in the School of Meteorology as well as with personnel across the center.

The successful candidate will work in the National Weather Center where the School of Meteorology and NOAA’s National Severe Storms Laboratory reside. The National Weather Center fosters a uniquely collaborative work environment with federal, state, and academic units, providing valuable networking opportunities for career development.

Salary will be competitive based on rates from a recent survey of postdoctoral fellowships in the United States and adjusted to the cost of living in Oklahoma. Full consideration will be given to applications received by November 25 th 2026, but applications may be submitted until the position is closed. Candidates in the final stages of completing their Ph.D. are also encouraged to apply. The term of appointment will be one year, renewable for a second year subject to satisfactory performance.

Why You Belong at the University of Oklahoma

The University of Oklahoma values our community's unique talents, perspectives, and experiences. At OU, we aspire to harness our innovation, creativity, and collaboration for the advancement of people everywhere. You Belong Here!

Mission of the University of Oklahoma

The Mission of the University of Oklahoma is to provide the best possible educational experience for our students through excellence in teaching, research and creative activity, and service to the state and society.

Qualifications

Requirements:

• Ph.D. in Atmospheric Science, Meteorology, Computer Science,Physics, Mathematics, or related disciplines within the last 3 years
• Experience with programming languages for AI/ML algorithm development and data analysis

Desired Skills and Qualifications:

• Excellent written and oral communication skills, evidenced by peer-reviewed publications
• Strong background in at least one of the following areas: extreme weather hazards, weather forecasting, mesoscale meteorology and dynamics, operational forecast product development, transitioning products and models into operations
• Past demonstrated experience and/or strong interest in using supercomputing or cloud computing resources

The University, in compliance with all applicable federal and state laws and regulations, does not discriminate on the basis of race, color, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), 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, housing, financial aid, and educational services.