UCAR is hiring a CPAESS Scientist III to support NOAA’s Climate Prediction Center (CPC) at the National Centers for Environmental Prediction (NCEP) under NOAA’s Early Warning Systems (NEWS) program. The role independently applies advanced forecasting methods, including AI/ML and ensemble post-processing, to improve sub-seasonal to seasonal (S2S) predictions of extreme climate events. It also serves as a primary point of contact for stakeholder engagement, co-developing impact forecasts and training programs with partners in the Caribbean and Latin America, or Africa. Professional bilingual proficiency in English and French is required. The scientist designs and executes scientific analyses, develops or adapts hypotheses, models, and tools, and contributes to publications, reports, technical documentation, datasets, findings, and proposals. The role includes mentoring less experienced colleagues, collaborating across disciplines, supporting proposal development, and contributing to scientific service, education, and outreach. Specific work includes post-processing global ensemble forecasts such as GEFS and NMME using model calibration, bias correction, and AI/ML; verifying forecasts and using multivariate and spectral analysis to advance understanding of sub-seasonal predictability and extreme events; mapping extreme-event forecasts with GIS; and working with stakeholders to co-develop impact forecasts for agriculture, water resource management, and health. The position also contributes to S2S forecasting training materials and technical and scientific reports for the PREPARE Early Warning System project. The position may be performed in person, hybrid, or fully remotely, but all work must be performed within the United States, excluding U.S. territories. Hybrid staff are expected to work on-site approximately three days per week. The start date will be confirmed after successful completion of federal screening.
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Job Type
Full-time
Career Level
Senior