RSA III - AI/ML Modeling of Land-Atmosphere Interactions
AUSTIN, TXJobSeen 5 days agoSeen in employer's feed 5 days ago
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Job overview
The role conducts research on hydroclimatic extremes using large datasets, satellite remote sensing products, and climate model outputs. It develops and applies machine learning and hybrid AI methods to forecast hydrological and weather extremes, evaluates models, and performs geospatial analysis. The work also includes publishing and presenting findings, contributing to grant proposals, mentoring students and interns, and developing visualization portals or websites.
Skills & qualifications
Skills
Full job description
Conduct research on hydroclimatic extremes using large datasets, satellite remote sensing products, and regional/global climate model outputs. Develop and apply machine learning and hybrid AI methods to forecast hydrological and weather extremesPublish peer-reviewed papers and present findings at international conferencesContribute to grant proposal development and support the mentoring of students and interns.Development of Visualization portals or websites.Perform geospatial analysis and mapping using GIS and geostatistical tools to assess spatiotemporal variability in meteorological variables.Design and execute multi-model evaluation studies (e.g., WRF, HRLDAS, AI-NWP) for extreme weather and water variability predictions
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