PhD Position in ML-Based Interpretation of Geophysical Legacy Data for Mineral Exploration Delft University of Technology in Netherlands

TU Delft is advertising a PhD position in ML-based interpretation of geophysical legacy data for mineral exploration . The project focuses on developing and testing new methods for deep exploration of sediment-hosted copper systems by integrating legacy seismic and well-log data with basin modelling, geochemistry, and machine learning. The research targets the thin Kupferschiefer horizon buried beneath the Netherlands and the North Sea. You will work with a large Dutch subsurface dataset, includ...

University of Twente is recruiting a Postdoctoral Researcher for a project on integrating In-Well Distributed Acoustic Sensing (DAS) with seismological stations for offshore near-real-time monitoring . The work sits at the intersection of Earth science, seismology, geophysics, signal processing, machine learning, and geospatial data science . The project aims to transform existing in-well fiber-optic DAS cables into dense seismic sensing arrays and combine them with offshore seismological statio...

This postdoctoral project focuses on developing new methods for offshore near-real-time seismic monitoring by combining in-well distributed acoustic sensing (DAS) with offshore seismological station data. The work addresses the challenge of observing seismic activity in offshore settings, where access is limited and instrumentation is sparse, by transforming existing fiber-optic cables into dense sensing arrays that can complement newly developed offshore stations. You will work on integrating c...

This EngD project at the University of Twente focuses on building AI methods for detecting underground infrastructure in ground penetrating radar (GPR) radargrams and estimating burial depth. The work builds on high-quality GPR data from the university’s Utility Mapping Site (UMS) , a dedicated test environment for utility mapping technologies. You will work on systematically collected and accurately annotated GPR datasets to develop and validate machine learning models that improve automated in...

PhD Candidate in Machine Learning for Temporal and Spatiotemporal Data The Department of Computer Science at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, invites applications for a four-year PhD position in machine learning. The project is part of STRIDE, an interdisciplinary initiative studying the resilience of transport systems under disruptions. The research will develop deep-learning methods for temporal and spatiotemporal data, including multivariate time...