Scientist: In-situ observations for atmospheric composition and numerical weather prediction

**Your role** ------------- The exploitation of observations sits at the core of ECMWF’s global forecasting and environmental services. They are used to generate initial conditions for accurate forecasts of weather and atmospheric composition, the latter as part of the Copernicus Atmosphere Monitoring Service (CAMS). We are seeking a Scientist to enhance our exploitation of in-situ observations. You will contribute to observation quality evaluation, assimilation methodology development, and seek to enhance our systems with Machine Learning techniques. You will play a key role in advancing ECMWF’s operational forecasting systems and contribute to research projects (JOHN and IM4CA) under the Horizon Europe EU framework. **About the Active Sensing Team** --------------------------------- This role is in the Active Sensing Team of the Earth System Assimilation Section, part of ECMWF’s Research Department. It has responsibility for the exploitation of in-situ (surface-based, aircraft, balloon) measurements and active satellite systems (RADAR and GNSS). In this particular role, the successful candidate will also work closely with colleagues specializing in atmospheric composition, data assimilation, machine learning and operational evaluation. **Your responsibilities** ------------------------- You will: * Work closely with the Observations team in the Forecast & Services Department to establish the real-time observation ingest and data flow for new observation streams, both for meteorological parameters and atmospheric composition, particularly for greenhouse gases in the framework of the JOHN and IM4CA projects * Adapt the existing ECMWF systems to make additional use of these new observations in a research context and evaluate the impact on analyses and forecasts * Where appropriate, migrate observations from research use to deployment in ECMWF’s operational systems used to produce weather and atmospheric composition predictions **What we are looking for** --------------------------- We are looking for someone who brings solid scientific expertise with the assimilation of observations in Earth system prediction systems. You understand data assimilation principles and have the technical expertise needed to contribute to advancing our operational forecasting systems. You will bring: * Excellent analytical and problem-solving skills, with the ability to connect theoretical understanding with practical data assimilation development * A rigorous and proactive approach to improving methods and code * An ability to work independently while collaborating effectively with colleagues across different areas, supported by clear communication skills * Strong organizational skills, including the ability to manage competing priorities and deliver high-quality work when timelines are constrained * An ability to efficiently document your work **Your profile** ---------------- **Education** * An advanced university degree, or equivalent professional exp