European Space Agency

Homepage: https://www.esa.int/

This fellowship aims to foster the development and application of advanced AI techniques for hyperspectral Earth observation (EO), with a focus on the upcoming Copernicus Hyperspectral Imaging Mission for the Environment (CHIME). The goal is to explore how CHIME’s rich spectral capabilities, when combined with disruptive technologies such as foundation models, onboard AI, explainable AI (xAI), and uncertainty quantification, can unlock new insights for environmental sustainability and climate resilience. For example, AI-driven methodologies might be deployed to:

• fuse CHIME hyperspectral data with Sentinel-2’s (or other satellites’) multispectral imagery to enhance spatial and temporal resolution for precision agriculture, land degradation monitoring or water quality assessment;
• further develop onboard AI models capable of real-time anomaly detection directly on the satellite, expanding the mission scope while reducing latency and data transmission needs (a first proof of concept related to anomaly detection at sea already exists);
• implement explainable AI and uncertainty-aware models to ensure transparency and trust in hyperspectral-based decision-making for environmental policy and resource management;
• explore the potential of night-time hyperspectral imagery to enable 24/7 environmental monitoring and early warning systems.

Please apply through jobs.esa.int Internal Research Fellow (PostDoc) in AI applied to hyperspectral CHIME mission Job Details | ESA