Job offer

European Commission; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Un poste post-doctoral est proposé au Laboratoire de Géologie de l'Ecole Normale Supérieure. Le candidat sera chargé de développer des algorithmes pour modéliser des réseaux de failles 3D et de valider ces modèles avec des données géodésiques. Ce rôle implique une collaboration interdisciplinaire au sein d'une équipe de recherche dynamique, au sein d'une institution reconnue pour son excellence dans les sciences de la Terre.

Qualifications

• Expérience en développement d'algorithmes pour réseaux de failles 3D.
• Compétences en validation croisée de données avec observations.
• Capacité à capturer des propriétés sismiques et statistiques.

Responsabilités

• Développer et améliorer l'algorithme H-Matrix pour réseaux de failles 3D.
• Obtenir des séries temporelles synthétiques pour validation.
• Fournir des jeux de données pour algorithmes d'apprentissage machine.

Connaissances

Mécanique des fractures

Sismologie

Géodésie

Formation

Doctorat en Sciences de la Terre ou domaine connexe

Description du poste

Organisation/Company CNRS Department Laboratoire de géologie de l'Ecole Normale Supérieure Research Field Physics Researcher Profile Recognised Researcher (R2) Country France Application Deadline 7 Jul 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Aug 2025 Is the job funded through the EU Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Fault networks are hierarchical in nature. We have already shown that two faults (in 2D), of same lengths, when allowed to interact over multiple seismic cycles produce a spectra of transient energy release without appealing to heterogeneities in stress and/or friction properties. It is not a leap of imagination to now say that when fault networks over multiple length scales, and realistic 3D geometries, are accounted for, the continuous, spatiotemporally complex, energy release can be captured by appealing to geometrical, rather than mechanical, heterogeneities. This framework would use tectonically, and seismologically inferred fault geometries and would cross-validate with decadal scale continuous geodetic data. We would also like to reproduce characteristic scaling laws and statistical properties like Gutenberg-Richter and Omori decay laws.

Develop, improve, and extend, the H-Matrix algorithm to 3D fault networks; Obtain synthetic GPS and INSAR like time-series to cross-validate with observations in well studied fault networks; Constrain model parameters to capture large paleo-earthquakes in those fault networks; Capture statistical, and spectral, properties of energy release on them; Provide training data set to the Machine learning algorithms

The post doctoral candidate would be based at the Laboratoire de Géologie (UMR 8538) at Ecole Normale Supérieure. Founded in 1880, the LG ENS is a joint research unit between the CNRS and ENS-PSL. Built on a long tradition in Earth and Environmental Sciences, it houses research that covers a wide field - Geology, Geodesy, Geomorphology, Geodynamics, Marine Geophysics, Geomechanics, Hydrogeology, Mineralogy, Seismology and Tectonics - which makes it a privileged place for exchanges at thematic borders.

Fracture Mechanics, Seismology, Computational Earthquake Source Mechanics