The project aims to develop, deploy and apply a processing framework dedicated to the construction of earthquake ground-motion databases. These databases constitute a key component of seismic hazard assessment studies. The postdoctoral researcher will design a processing workflow to automate the retrieval, quality control, processing and archiving of seismic recordings from various national and international data sources. The framework may incorporate recent advances in artificial intelligence and machine learning whenever they provide demonstrated benefits in terms of automation, robustness, or data quality. Processing traceability, result reproducibility, and the long-term sustainability of the framework will constitute key requirements of the project. Beyond the methodological developments, the workflow will be applied to the creation and enrichment of strong-motion databases supporting studies conducted within the SIGMA3 programme. The project will also include the production of harmonized metadata and the associated documentation. The expected outcomes are an operational processing framework together with enriched databases that can be directly used for research and engineering applications in seismology and earthquake engineering.