The doctoral early career researcher (ERC) will be involved in the GEOSEISMOD project (2024 - 2027), which represents a pioneering and multidisciplinary and interdisciplinary project designed to enhance our knowledge of active faults in the Alboran Sea through a comprehensive array of methodologies. By integrating numerical and analogue modelling, leveraging machine learning supervised algorithms and utilizing physics-ased earthquake simulators, GEOSEISMOD project seeks to propel our understanding of the geological evolution, seismotectonic characteristics of active faults, and the geodynamics within the Alboran Sea region. The outcomes derived from these diverse approaches will not only facilitate a better understanding of the geological hazards, such as seismic events, tsunamis, and submarine landslides, prevalent in this area, but will also contribute to refining their parametrization. The invaluable insights gained through this research will be instrumental for the scientific community engaged in hazard and risk assessment, as well as those investigating the broader geodynamics of the Western Mediterranean region.
The main objective of the doctoral ERC will be understanding the gedynamic evolution for the last 5 Ma of the large fault systems in the Alboran Sea. To achieve it we have defined two specific objectives:
- O1.1. Define the crustal properties in the formation and evolution of a plate boundary. Utilizing numerical modeling techniques, it is possible to systematically explore a broad spectrum of crustal rheology parameters, such as density, elastic, and viscoelastic properties, at various spatial and temporal scales. This approach allows investigating comprehensively the interaction dynamics among different boundary faults, estimate strain rates, and gain insights into the potential evolution of these faults in the future.
- O1.2. Evaluate the present seafloor morphology as a reflection of crustal processes and fault growth. Analogous modeling, conducted through sandbox experiments, provides a unique opportunity to simulate the growth and propagation of faults. Simultaneously, this approach allows for the observation of their influence and control on landscape evolution while maintaining scalar relations and provides valuable insights into the dynamic processes shaping the fault and the topography.
Deadline: 31 January 2025
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