Lead Ensemble Forecasting Team: AI & Hybrid Systems

ECMWF; Reading; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

ECMWF, based in Reading, UK with operations in Bonn, Germany, seeks a Team Leader for the Ensemble Modelling Team. You will guide the scientific and managerial direction of ensemble prediction across multiple timescales, coordinating with colleagues across data assimilation, atmospheric, ocean and land modelling, and machine-learning pipelines to deliver reliable probabilistic forecasts.

You will lead a team of around a dozen scientists, shaping priorities, planning the programme, and fostering

Responsibilities

• Lead and manage the Ensemble Modelling Team, setting objectives and priorities, supporting effective delivery, coaching and developing team members
• Work with the Head of Earth System Modelling to shape the scientific direction for ensemble prediction across medium-range, sub‑seasonal, seasonal and longer‑range applications, leveraging physics‑based, AI‑based and hybrid approaches
• Guide the design and further development of ECMWF’s operational ensemble prediction systems to support the delivery of world‑leading operational ensemble predictions that respond to users evolving needs
• Oversee the maintenance and support of operational ensemble systems, ensuring that issues arising in production are investigated and addressed promptly
• Foster effective collaboration across ECMWF, with Member and Co‑operating and with the wider scientific and operational community, representing ECMWF where appropriate

Education

Advanced university degree or equivalent professional experience

Job description

ECMWF, based in Reading, UK with operations in Bonn, Germany, seeks a Team Leader for the Ensemble Modelling Team. You will guide the scientific and managerial direction of ensemble prediction across multiple timescales, coordinating with colleagues across data assimilation, atmospheric, ocean and land modelling, and machine-learning pipelines to deliver reliable probabilistic forecasts.

You will lead a team of around a dozen scientists, shaping priorities, planning the programme, and fostering