PhD Position
vor 2 Monaten
The Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences is the national centre for research into the geosphere. With around 1,650 employees, we develop a sound understanding of systems and processes of the solid Earth as well as strategies and options for action to counter global change, understand natural hazards and sustainably secure energy and raw material requirements.
For section 2.6 "Seismic Hazard and Risk Dynamics", Department 2 "Geophysics", we are looking for a:
PhD Position (f_m_x) Smartphone-based data and earthquake ground-shaking prediction
Reference Number 9671
Recently smartphone applications have been developed to detect the occurrence of earthquakes and provide an early warning (Earthquake Network (EQN) application, Finazzi, 2016) or to allow smartphone users to react after an earthquake and assess the level of vibrations felt (LastQuake application, Bossu et al., 2018). A collaboration between GFZ (Prof. Fabrice Cotton), the University of Bergamo (Prof. Francesco Finazzi) and EMSC (Euro Mediterranean Seismological Center) has been developed to analyse the datasets resulting from these applications. This collaboration has shown that LastQuake data can be used to assess the impact of earthquakes (Lillienkamp et al., 2022) and has confirmed the potential of using EQN detections for early warning (Finazzi et al., 2024).
The aim of this work is to explore these new data from smartphones and to develop new methods for merging different seismic vibration measurements. The goal of these developments will be to improve early warning methods from smartphones and to produce high-resolution vibration maps after an earthquake using machine learning techniques (e.g., Esfahani et al., 2023; Lilienkamp et al., 2023).
Your responsibilities:
Develop a working database of smartphone earthquake reports and records
Use existing ground motion amplification models developed by the team to select parameters (e.g., geology, slope, building environment) that may affect ground motion at the smartphone location
Develop methods to detect outliers and improve the quality of the database
Explore the potential of these new observations to predict ground shaking and map site amplifications in urban areas
Explore the potential of these new observations to complement classical seismological data
Suggest improvements to the smartphone applications and contribute to a new generation of smartphone seismological applications
Your qualifications:
Master degree or diploma in Physics, Computer science, Mathematics or Geosciences is mandatory
Knowledge of geophysics and seismology
Knowledge in statistics and/or Machine learning
Solid Programming skills
Good English language skills
Please use for the application templates on: www.initiate-dn.eu/projects.html
Cover letter on research interests plus motivation
Mobility declaration including documentation
Names and contact information of two referees
CV
Transcripts and diplomas on master degree. If not available, a confirmation from your institution on completed degree by the application deadline
Approved documentation of proficiency in English
Scientific publication list (if applicable)
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