The central research topic of Section 4.2 aims at understanding the physical processes that control dynamics and mechanical properties in the Earth's crust and mantle lithosphere. This covers the entire spectrum of topics ranging from geomechanics and rock physics to the rheology of crust and uppermost mantle, ranging over the entire spatial bandwidth from the laboratory through mine and reservoir scale to the deformation of tectonic plate boundaries. At the field scale, we investigate seismic and aseismic deformation processes and aim at identifying slip transients covering the entire frequency band of seismic signals.

The ERC research project QUAKEHUNTER (Real-time monitoring of earthquake nucleation for faults near urban areas) aims to (1) determine the most effective approaches to detect fault-related transients preceding moderate to large earthquakes, and (2) to monitor seismic and aseismic processes and infer from them the fault conditions under which earthquake nucleation processes emerge, and the optimal instrumentation required to capture them.

This postdoctoral position will focus on the automatic detection and classification of different types of signals embedded in the continuous recordings of strainmeter and seismic data, mainly recorded in the broader Sea of Marmara region in NW Turkey including the Istanbul megacity area. The main goal is to investigate the potential of different Artificial Intelligence methods to identify tectonic signals with lower frequency content as well as the fault segments generating them.

Your responsibilities:

• Development and application of Artificial Intelligence-based recognition and classification of local tectonic and anthropogenic signals in strainmeter and seismic data
• Development of a catalogue of slow slip signals
• Analysis of complementary data to compare with the slow slip results
• Publish your results as scientific papers in ISI peer-review journals 
• Present and disseminate your research results at scientific meetings
• Contribute to the supervision of PhD students and engage with their work

Your qualifications:

• Master`s degree or equivalent and a PhD in geophysics or equivalent
• Expertise in seismology and/or geodesy
• Knowledge in the fields of data science and/or artificial intelligence and/or big data analysis 
• Programming skills (AI/ML programming frameworks, e.g. PyTorch or TensorFlow, Python, MATLAB, SQL)
• Fluency in English (written/oral)
• Willingness to work in an interdisciplinary and international environment
• Experience in field campaigns will be valued