About the position

The position as Ph.D. Research Fellow in “Machine Learning-Applications in Monitoring Geological CO2 Sequestration” available at the Department of Geosciences.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. The starting date no later than 01.10.2020.

The fellowship period is up to 4 years, with 3 years devoted to research education. The position entails a compulsory workload of 25% that may consist of teaching, supervision duties, and research assistance.

Job description

The goal of the Ph.D. project is to perceive reliable and cost‐efficient technologies for monitoring CO2 storage sites by utilizing big data and machine learning techniques. The research will focus on a variety of geophysical data (e.g., satellite, seismic, gravity, fiber optics, pressure sensors, inclinometers, and seafloor geodesy) from three sites 1) Troll Gas Field, Norway, 2) In Salah CO2 storage site, Algeria, and 3) Bay of Mecklenburger, Germany to investigate continuous monitoring of onshore and offshore surface deformation and subsurface pressure distribution.

This Ph.D. project links to a European project, the EU-ACT (Accelerating CCS Technology) "SENSE-Assuring Integrity of CO2 Storage Site Through Ground Surface Monitoring". The SENSE project (https://sense-act.eu) brings together world-class experts from fourteen (14) renowned institutions across eight (8) countries and thus will provide an exceptional opportunity for supporting a Ph.D. candidate.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

Required qualifications:

• Master’s degree or equivalent in Geophysics, Petroleum Engineering, or Petroleum Geoscience
• Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
• Proficient in programming and scripting languages, such as MATLAB, Python
• Strong geomechanics, rock physics, mathematics, and physics background

Candidates with following documented knowledge and experience will have an advantage:

• Machine learning to analyze/interpret geophysical data (e.g., seismic, InSAR, fiber optics, gravity, pressure sensors, inclinometers, and seafloor geodesy)
• Integration of various geophysical data for subsurface characterization
• Subsurface geomechanical modeling
• Previous scientific publication
• The project requires some mobility, and the Ph.D. candidate will spend time working with international collaborators outside Norway
• Willingness to work in a team environment, to share skills and ideas, is therefore expected

Grade requirements:

The norm is as follows:

• the average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
• the average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
• the Master’s thesis must have the grade B or better in the Norwegian educational system
• Fluent oral and written communication skills in English
• English requirements for applicants from outside of EU/ EEA countries

The purpose of the fellowship is research training leading to the successful completion of a PhD degree.

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see:

http://www.uio.no/english/research/phd/

http://www.mn.uio.no/english/research/phd/

We offer

• Salary NOK 479 600 – 523 200 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
• Attractive welfare benefits and a generous pension agreement
• Vibrant international academic environment
• Career development programmes
• Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

• Cover letter, including a one page statement of motivation and research interests indicating why the indicated PhD topic fits their interest and background.
• CV (summarizing education, positions and academic work - scientific publications)
• Copies of the original Bachelor and Master’s degree diploma, transcripts of records and letters of recommendation
• Documentation of English proficiency
• List of publications and academic work that the applicant wishes to be considered by the evaluation committee
• Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system, please follow the link “Apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).

Applicants may be called in for an interview.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.

The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.

Contact information

• Professor Nazmul Haque Mondol, phone: +47 22856693, e-mail: nazmulh@geo.uio.no

For questions regarding the recruitment system, please contact HR Adviser Therese Ringvold, phone:+47 22851606,e-mail: therese.ringvold@mn.uio.no

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