Project background

Our research fellowship supported by EUMETSAT aims to integrate geostationary satellite observations into a next‑generation regional machine‑learning weather prediction system. The project builds on an existing graph‑based regional forecasting model at MeteoSwiss and is embedded in the Anemoi framework initiated by ECMWF. The objective is to develop and evaluate novel multi‑encoder‑decoder architectures that ingest various satellite data streams (radiances, cloud products, lightning observations, hyperspectral soundings) for high‑frequency forecasting from short‑range to up to 10‑day lead times.

Job description

We are looking for a Scientific Programmer / Software Developer to join our interdisciplinary team.

Responsibilities

• Develop and implement machine‑learning model architectures enabling the direct ingestion of next‑generation satellite data (e.g. MTG FCI, LI, IRS) into state‑of‑the‑art regional forecasti...