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Updates

Postdoc position: "Ocean Shazam" (2022-2023, France, Brest)
Signal processing and data science applied to marine seismology data
ANR project: BRUIT-FM

Postdoc position: Ocean Shazam Subject in PDF

Keywords: spectral analysis, adaptive filtering, machine learning, oceanography

Context

Marine seismology has made tremendous technological advances in the past decades: data recorded at the seafloor by ocean bottom seismometers (OBSs) are becoming widely available (eg IRIS consortium). An OBS is a multicomponent instrument able to continuously record pressure and earth motion. There are two types of OBSs: short-period instruments for recording high-frequency motions, and long-period instruments for acquiring a wider range of motions (cf. INSU-IPGP national OBS facility). With both instruments, OBSs record a superposition of a broad variety of signals generated by solid earth, ocean wave, biologic, ship sources and noise. These signals can be very different in amplitude, duration and frequency content. They however also overlap in those domains, making them hard to isolate from each other. That is why OBS data cannot yet be fully exploited by the seismological community, as they require more advanced processing and identification techniques.