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UiB, Norway – PhD Position in geophysics


The Department of Earth Science has a vacancy for a PhD position in mathematically oriented geophysics – UiB, Norway 20222

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General Info

Position: PhD
No. of Positions: 1
Research Field:
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: -
Salary: NOK 491 200 per annum

Department of Earth Science
University of Bergen (UiB), Norway


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Qualification Details

  • Applicants must hold a master’s degree or equivalent education in mathematically oriented geophysics or physics, applied or computational mathematics, or scientific computing. Master students can apply provided they complete their final master exam before 31 October 2022. It is a condition of employment that the master’s degree has been awarded.
  • The position requires a solid methodological background and excellent programming skills.
  • Some experience with solution of differential equations and non-linear inverse problems is a requirement.
  • Experience with seismic modeling, processing, and imaging methods is an advantage.
  • Experience in artificial neural network (ANN) computing is an advantage.
  • Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills.
  • Applicants must be proficient in both written and oral English.

In the assessment of relevant candidates, a holistic assessment of both quality and breadth in the candidates' background will be carried out. Personal and relational qualities will be emphasized.

Responsibilities/Job Description

Production of hydrocarbons and geothermal energy, extraction of groundwater, subsurface energy storage, CO2 sequestration and wastewater disposal all involve massive subsurface extraction and/or injection of fluids. This affects the thermal, hydraulic, mechanical and chemical (THMC) state at depth, resulting in strongly coupled THMC processes. In recent years, the surface manifestations fluid injection and production have become increasingly apparent.

To improve engineering operations and avoid unacceptable environmental impact, there is a need to understand how fluid injection and extraction effects the mechanics of the geological formation to cause deformation of porous rocks as well as slip, opening and propagation of fractures and faults. These processes can be studied by a combination of data analysis and mathematical modeling and simulation.

VISTA CSD’s primary objective is to develop fundamental knowledge and educate next generation researchers to understand how subsurface fluid injection and extraction results in deformation, fault reactivation and fracturing. The center thus targets critical and fundamental research questions through mathematical and numerical modeling and data analysis.

The method under study in this project represents a generalization of Dix’ classic method for estimating local (interval) wave velocities from their corresponding root-mean-square (RMS) velocities. The generalization is foreseen implemented as a fully data-driven process for estimation of local wave velocities and their mapping from time to depth in three dimensions.

The overall goal of the project is to demonstrate that the generalized Dix method can be useful in the context of monitoring micro-earthquakes and mapping/imaging of seismic diffractions in the subsurface. This will involve 1) to develop a new generalized Dix reconstruction with improved stability and a regularization approach, 2) to replace this reconstruction using an artificial neural network (ANN), and 3) to study the dynamics in the Dix data by means of an ANN architecture.

How to Apply?

Application Method: Online Application
Ref. No.: -

Application Procedure

Your application must include:

  • a brief account of the applicant's research interests and motivation for applying for the position the names and contact information for two referees. One of these should be the main advisor for the master's thesis or equivalent thesis
  • CV
  • transcripts and diplomas showing completion of the bachelor's and master's degrees. If you have not yet completed your master's degree, please submit a statement from your institution confirming the expected date of award of your master's degree. Your master's degree must be documented with transcripts and/or diploma, alternatively a confirmation from your institution on completed degree and your grade, at the latest three weeks before the date of employment.
  • relevant certificates/references
  • approved documentation of proficiency in English (if required, cf. English language requirements for PhD admission)
  • a list of any works of a scientific nature (publication list)
  • any publications in your name

The application and appendices with certified translations into English or a Scandinavian language must be uploaded at Jobbnorge.

About the PhD Research Fellow

The fellowship will be for a period of 3 years, with the possibility for a 4th year, consisting of 25 % compulsory work (e.g., teaching responsibilities at the department) distributed over the employment period. The 4th year is contingent on the qualifications of the candidate and the teaching needs of the department and will be decided by the head of department upon appointment. The employment period may be reduced if you have previously been employed in a qualifying post (e.g., research fellow, research assistant).

About the research training

As a PhD Research Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Mathematics and Natural Sciences is 2 months after you start your position or after the start of the research project that will lead to the PhD degree. It is a condition that you satisfy the enrolment requirements for the PhD programme at the University of Bergen

About the Employer:

Note or Other details

  • a good and professionally stimulating working environment
  • salary at pay grade 54 (Code 1017/Pay range 20, alternative 10) in the state salary scale. This constitutes a gross annual salary of NOK 479 600. Further promotions are made according to length of service in the position.
  • enrolment in the Norwegian Public Service Pension Fund
  • good welfare benefits

For further information about the recruitment process, click here.

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Contact details

For further details about the position, please contact:

Professor Einar Iversen, e-mail: [email protected].

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