ECMWF is seeking a Scientist in the newly-formed Ensemble Modelling Team to advance operational ensemble prediction systems from medium-range to seasonal timescales. The role focuses on improving ensemble configurations, representing model and initial-condition uncertainty, and developing physics-based, AI-based and hybrid approaches.
The successful candidate will design experiments, test upgrades, and prepare training datasets, collaborating with data assimilation, forecast production and user
Ensemble Forecasting Scientist - AI & Probabilistic in Reading employer: ECMWF
ECMWF is an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation in the field of climate science. With a strong commitment to employee growth, ECMWF provides opportunities for professional development through engaging projects and international networking, all while promoting a culture of inclusivity and respect. Located in a vibrant European setting, employees benefit from a hybrid working model that supports work-life balance, making it an ideal place for those passionate about making a meaningful impact in atmospheric monitoring.
