Postdoc: Real-Time Seismic Algorithms
Università degli Studi di Trieste is seeking a researcher to advance seismic monitoring techniques and real-time data analysis. The candidate will develop and optimize algorithms for automatic computation of ground-shaking and seismic source parameters at regional and national scales.
The role emphasizes data-driven approaches, such as neural networks and Bayesian models, to reconstruct shaking fields from sparse data, with numerical validation and code collaboration as core activities.
The role emphasizes data-driven approaches, such as neural networks and Bayesian models, to reconstruct shaking fields from sparse data, with numerical validation and code collaboration as core activities.