Lundin Energy Norway søker PhD Machine learning in geoscience

Joint Lundin Energy Norway AS and Conoco Phillips Norway Corporate PhDMachine learning in geoscience.

Mer info:

Mer info:

Application deadline: As soon as possible

Contact information:
Aina Juell Bugge, Lundin Energy Norway

E-mail: [email protected]
Phone: 45469429

Peter Bormann ConocoPhillips

E-mail: [email protected]

Phone: +47 47887460

Apply here


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The recent availability of powerful GPUs and open source software have enabled artificial neural networks to be applied to a number of practical and industrial scale problems. This position is planned to address issues related to artificial intelligence (AI) for seismic data processing and seismic interpretation. The fellowship will be for a period of 3 years. Ideally the candidate for this position has either a background in geoscience with programming experience and experience or willingness to learn machine learning, or a background in data science/programming/machine learning and willingness to learn geoscience. We encourage recent graduates / students in their final year of their MSc to apply.

The ideal candidate will have experience in the following areas:

  • Computer Science/Applied Mathematics:
  • Machine Learning / Neural Networks
  • Good programming skills, preferably Python


  • Seismic processing
  • Seismic interpretation
  • Structural geology/seismic stratigraphy

Key points:

  • 3-year corporate PhD position jointly supervised by Lundin Energy Norway and Conoco Philips Norway (both exploration departments).
  • Lundin and CoPNo will jointly fund one 3-year industrial PhD candidate following the industrial PhD scheme by the Norwegian Research Council (NRC).
  • The candidate’s main location will be at the Lundin offices in Oslo (Lysaker) and will be an integrated part of the exploration department. Additionally, the candidate may at times be collocated in the CoPNo offices in Stavanger.
  • The candidate must satisfy the enrolment requirements for the PhD program at the University of Oslo.
  • Expected startup – 2021
  • Focus area: AI / machine learning related to weakly and unsupervised facies classification / reservoir characterization / first pass regional interpretation of 3D seismic cubes.

Admission requirements:

The candidate must hold a master's degree in Computer Science/Applied Math/Geophysics or a similar/related field and document competence in areas relevant to the position.

About the PhD position:

The candidate will be involved in an integrated environment and work closely with a research group consisting of both geophysicists in Lundin and CoPNo, as well as other PhD candidates and students working on similar research topics (AI in geoscience).

As a PhD candidate, you must participate in an approved educational program at UiO for a PhD degree within a period of 3 years. A final plan for the implementation of the research training must be approved by both NFR and the faculty within three months after you have commenced in the position. It is therefore a condition that you satisfy the enrolment requirements for the PhD program at the University of Oslo.

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