PhD Position (f/m/d) in Applied Geosciences: Pattern recognition in DAS data

Research Position in Distributed Acoustic Sensing Distributed Acoustic Sensing (DAS) is a fiber optic technology that turns optical fibers into dense seismic arrays. When deployed on unused telecommunication fibers (“dark fibers”), DAS provides regularly spaced seismic measurements along tens or much more kilometers, which could enable seismic monitoring of large areas. The research is planned in the frame of the RUBADO project (BMWE, FKZ 03EE4076A), within which DAS is applied in the Upper Rhine Graben to explore its potential for monitoring geothermal reservoirs and induced seismicity at such scales. Efficient monitoring requires automated processing of the large volumes of data generated (several TB) to extract transient seismic signals, such as microseismic events, from the anthropogenic noise, which constitutes most of the recorded signal.