Foundation models for anomaly detection of ionospheric phenomena and correlation with seismo-induced events

Università degli Studi di Trento

Space Science and Technology
Cycle: 42

The Limadou project gathers some Italian institutions participating in the China Seismo Electromagnetic Satellite (CSES) mission. CSES consists of a constellation of satellites, designed to pursue the deepest campaign of observation of the ionosphere. One of the most important scientific goals of the mission is to look for correlations between transient phenomena in the ionosphere and seismic events. The successful candidate will develop and apply state-of-the-art machine learning techniques to enhance the detection of ionospheric anomalies and their potential correlations with seismic activities. In particular, the research will focus on employing foundation models that can interpret complex patterns in space and time observations. Candidates with a strong background in data science, machine learning, and space physics are encouraged to apply. This position offers the opportunity to work with leading experts and institutions, including collaborations with INFN-TIFPA and Fondazione Bruno Kessler

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