Incarico Post-Doc
Organisation/Company Università degli Studi di Trieste Research Field Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 30 Oct 2026 - 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Scorra verso il basso per trovare i dettagli completi dell'offerta, inclusa l'esperienza richiesta e le mansioni associate.
Offer Description
research activities in real-time and near-real-time seismic monitoring, ranging from data acquisition to the automatic processing of accelerometric data at regional and national scale. The candidate will be involved in the development and optimization of algorithms for the automatic computation of ground-shaking and seismic source parameters,
for the generation of shaking maps, and for the characterization of seismic background noise. This also includes the development of data-driven and probabilistic methods (e.g., neural networks, Bayesian models) for reconstructing shaking fields from sparse data, within the broader framework of applying seismological techniques to applied geophysics purposes. The validation of the developed algorithms through numerical models is also expected. Skills required include the processing of seismological time series, scientific programming, and collaborative source-code management. xbvzest No teaching or third mission activities are planned.
- Italy
Eligibility of fellows: country/ies of residence:
- EUROPE
Eligibility of fellows: nationality/ies:
Scorra verso il basso per trovare i dettagli completi dell'offerta, inclusa l'esperienza richiesta e le mansioni associate.
Offer Description
research activities in real-time and near-real-time seismic monitoring, ranging from data acquisition to the automatic processing of accelerometric data at regional and national scale. The candidate will be involved in the development and optimization of algorithms for the automatic computation of ground-shaking and seismic source parameters,
for the generation of shaking maps, and for the characterization of seismic background noise. This also includes the development of data-driven and probabilistic methods (e.g., neural networks, Bayesian models) for reconstructing shaking fields from sparse data, within the broader framework of applying seismological techniques to applied geophysics purposes. The validation of the developed algorithms through numerical models is also expected. Skills required include the processing of seismological time series, scientific programming, and collaborative source-code management. xbvzest No teaching or third mission activities are planned.
- Italy
Eligibility of fellows: country/ies of residence:
- EUROPE
Eligibility of fellows: nationality/ies: