Vacant positions

Centre for Geophysical Forecasting

Vacant positions

PhD and PostDoc positions

PhD and PostDoc positions

PhD Positions

The Centre for Geophysical Forecasting has 2 PhD fellowship positions available on Multiphysics modelling using fibre optic data (Distributed Acoustic Sensing ;DAS) and to study soil saturation by seismic velocities for near-surface characterisation using DAS data.

The successful applicants will work at the CGF premises at NTNU in Trondheim as part of our team of key researchers. The PhD research fellowships will be hosted by the Department of Electronic Systems at NTNU. Successful candidates will be offered a three-year position. 

The projects have close contact with our industry partners, as well as research partners NORSAR and Jamstec in Japan. For the current positions a close cooperation with Equinor and NORSAR are planned.

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PostDoc Positions

The Department of Mathematical Sciences, NTNU, has a vacancy for a two-year PostDoc fellowship on spatial and spatio-temporal statistics: "Statistical models and methods for large-scale spatio-temporal data".

The successful candidate will be offered a two-year position, which could potentially be extended with teaching duties. 

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NORSAR has a vacancy for a two-year PostDoc position within the field of Geophysical Fibre-Optic Sensing.

The PostDoc will be part of the CGF, where fibre optic sensing is a key method.

NORSAR has a growing instrument pool consisting of 3 DAS and 1 DTSS systems, as well as an in-house fibre test facility  aimed at fundamental and applied research towards the advancement of fibre sensing technology. 

The workplace is Kjeller, about 20 km East of Oslo. The position will include travel activities in Norway and abroad. 

For questions about NORSAR and the position please contact Dr. Volker Oye,, or HR Coordinator Toril Tømte,

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PhD positions for the future

The CGF will be issuing invitations to apply for funded PhD positions from time to time.  Being a strongly interdisciplinary centre, we are looking for entrepreneurial students with a wide variety of interests and backgrounds, from electronic engineering to fibre optics, from geophysics to acoustic wave propagation modellers, from heterogeneous computing to statistical and data scientists.  Successful applicants will work at the CGF premises at NTNU in Trondheim as part of our international team of key researchers. The CGF PhD research fellowships are hosted by several departments at NTNU: Computer Science, Electronic Systems, Geoscience and Petroleum and Mathematical Sciences. The Centre has close contact with industry partners as well as research partners NORSAR and Jamstec in Japan.  

PhD students will use and develop advanced models and methods for combining diverse geophysical data to effectively monitor the earth. PhD students will be involved in the planning of new surveys and the acquisition of valuable geophysical information to improve forecasts and provide important decision support for the various application domains of the CGF.  

The CGF is developing novel methods for the cost-effective use of fibre optic cables, creating Distributed Acoustic Sensing (DAS) systems for Earth monitoring. Such DAS data complement traditional geophysical data sources such as seismic waveform measurements, electromagnetic data, and geomodelling information.  

To extract the important variables from massive spatio-temporal geophysical data, the CGF will work on heterogeneous platform computing and AI-based approaches for feature extraction, enabling efficient monitoring and early warning systems in the various geosciences applications.  

PhD research work will be led by supervisors with strong scientific profiles in the specific disciplines at the CGF.

The CGF is determined to deliver research-based innovation, and it will strongly stimulate PhD candidates to create and develop innovative ideas into business potential both for the Centre partners as well as in spin-off companies. The key innovation areas of the CGF are in CCS management, hydrocarbon production monitoring and geohazards monitoring and forecasting.