PROJECT OVERVIEW:
The MONIFAULT ERC Project focus on “Monitoring real faults towards their critical state”
The aim of this project is to develop novel techniques to analyze and classify seismological data to study the evolution of stress in real faults. Furthermore, we are planning to include independent geophysical observations as GPS and velocity variation from ambient noise correlation to better understand the dynamics of faults during the earthquake cycle, with particular interest to the preparation phase of big earthquakes.
The project includes researchers from the ISTERRE laboratory of the University of Grenoble, Los Alamos National Laboratory, University of Southern California and University of La Sapienza (ROME).
KEYWORDS: Machine learning, earthquake nucleation, slow deformation, ambient seismic noise correlation, monitoring, geodesy, seismology
POSITIONS AVAILABLE:
2 post-docs
3 PhD Thesis
If you are interested or you want more information write at piero.poli at univ-grenoble-alpes.fr