AI-Driven Anomaly Detection in Atomic Clock Signals

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/81n6ph

pINRiM in Italy invites applications for a research fellowship focused on AI-based methodologies to monitor and analyse high-reliability space systems, with emphasis on atomic clock signals used in satellite navigation and timing infrastructures. /ppThe work includes acquiring and validating datasets from ground-based and spaceborne clocks; developing data preprocessing procedures; and designing, training, and optimizing machine and deep learning algorithms for anomaly detection and /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/81n6ph