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PhD Position in ML-Based Interpretation of Geophysical Legacy Data for Mineral Exploration
TU Delft
Delft · On-siteEntry level (0–2 years)Full-timePosted 21 days ago
About the job
What you'll do
The candidate will develop integrated methodologies for characterizing the Kupferschiefer horizon by combining legacy seismic and well-log data with basin modelling and machine learning. This involves analyzing well logs, performing seismic cross-well correlation, and identifying geological fingerprints associated with copper mineralization.
What they're looking for
Applicants must hold an MSc degree in geophysics, geology, earth sciences, or a related engineering discipline. Proficiency in scientific programming (Python or Matlab) and the ability to conduct independent research across geoscience and data-science fields are required.
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