PhD: ML-Driven Legacy Geophysics for Mineral Exploration

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

Job summary

Delft University of Technology invites applications for a PhD position in ML-based interpretation of geophysical legacy data for mineral exploration. You will merge legacy seismic and well-log data with basin modelling, geochemistry and machine learning to investigate the Kupferschiefer horizon beneath the Netherlands.

The project involves TU Delft, collaboration with TNO and other partners, with a four-year, fully funded contract and a competitive salary.

Qualifications

• MSc in geophysics, geology, earth sciences, geological or petroleum engineering, or related field.
• Interest in applied geophysics, resource exploration and ML.
• Experience with scientific programming in Python or Matlab.

Responsibilities

• Develop and test ML-based methods for integrating seismic and well-log data.
• Analyze legacy data to identify Kupferschiefer horizon.
• Collaborate within TU Delft groups and with external partners.

Skills

Geophysics

Machine learning

Scientific programming

Academic writing

Education

MSc in geophysics/geology/earth sciences/petroleum engineering

Tools

Python

MATLAB

Job description

Delft University of Technology invites applications for a PhD position in ML-based interpretation of geophysical legacy data for mineral exploration. You will merge legacy seismic and well-log data with basin modelling, geochemistry and machine learning to investigate the Kupferschiefer horizon beneath the Netherlands.

The project involves TU Delft, collaboration with TNO and other partners, with a four-year, fully funded contract and a competitive salary.