PhD: ML Interpretation of Legacy Geophysics for Minerals

Delft; Delft; On-site; EUR 36,000 - 45,000; Full time

Job summary

TU Delft offers a PhD position focusing on ML-based interpretation of geophysical legacy data for mineral exploration. You will develop and test new methods to integrate legacy seismic and well-log data with basin modelling, geochemistry and machine learning to map the Kupferschiefer horizon in the Netherlands and the North Sea.

The model will combine geophysical interpretation, basin analysis and multimodal data integration, with a focus on sequential data and physics-informed ML.

Qualifications

• MSc degree in geophysics, geology, earth sciences, geological or petroleum engineering.
• Experience in scientific programming (Python or Matlab).
• Good writing and communication skills.

Responsibilities

• Develop and test new methods for deep exploration using ML-based interpretation of legacy seismic and well-log data.
• Integrate seismic, well-log, basin modelling, geochemistry and ML for mineral exploration.
• Contribute to multimodal and physics-informed ML developments and data integration.

Education

MSc degree in geophysics, geology, earth sciences, geological or petroleum engineering

Tools

Python

MATLAB

Job description

TU Delft offers a PhD position focusing on ML-based interpretation of geophysical legacy data for mineral exploration. You will develop and test new methods to integrate legacy seismic and well-log data with basin modelling, geochemistry and machine learning to map the Kupferschiefer horizon in the Netherlands and the North Sea.

The model will combine geophysical interpretation, basin analysis and multimodal data integration, with a focus on sequential data and physics-informed ML.