IRIS - Ph.D. position on big-data reduction and data assimilation

IRIS is a research and innovation company established in 2006 with origin in Rogalandsforskning. The research activities at IRIS cover both commissioned research and basic research. Main research areas are energy, environment and social science. The goal is to fill the society's need for knowledge and idea generation and the industry's need for innovative solutions. IRIS commercialises its work through its own subsidiary IRIS Forskningsinvest AS which has owner interests in approx. 20 companies.

From January 2018 IRIS is part of the research group NORCE. NORCE consists of the research institutes Uni Research AS, Christian Michelsen Research AS, International Research Institute of Stavanger AS, Agderforskning AS and Teknova AS. NORCE has its headquarters in Bergen and activities in each of the regions. The group boasts a total of approx. 900 employees and an annual turnover of over NOK 1 billion. NORCE is owned by the University of Bergen, Stiftelsen Universitetsforskning Bergen, Stavanger Research Holding AS and Agder Research Holding AS.

Ph.D. position on big-data reduction and data assimilation

DIGIRES is a joint Research Council of Norway Petromaks-2 and industry project, running from 2018-2021, that aims to develop the next-generation digital workflows for sub-surface field development and reservoir management. As such, DIGIRES addresses new challenges in the petroleum industry related to the processing and integration of vast datasets with models for reservoir characterization.

IRIS coordinates the project which has industry support from Statoil, Aker BP, ENI, VNG, DEA, Petrobras, and ENGIE. Research partners include UNI Research CIPR and the University of Stavanger, and is lead by Geir Evensen, Dean Oliver, and Reidar Bratvold. The project includes three Ph.D. students and one Post-doc, in addition to several senior researchers.

The project builds on an integrated reservoir-management philosophy for sub-surface modeling. We use multiple model realizations to characterize uncertainty together with sub-surface analytics and digitalization to handle big data. The objective of the project is to “improve decision making and uncertainty analysis for wellplanning and field development by using a decision-driven ensemble-based approach.” As such the methods developed have applicability within a range of research areas in the Earth Sciences.

This Ph.D. position is connected to a work package on Big-Data Analytics and Digitalization in DIGIRES. The work package aims to develop an efficient workflow to extract, analyze and utilize the information from big sub-surface data, and to integrate the established workflow into an ensemble-based framework to tackle bigdata assimilation problems. To achieve these goals the PhD candidate is expected to exploit statistical/machine learning methods for sparse data representation and automatic feature extraction. The candidate will be enrolled as a Ph.D. student in applied mathematics at the University in Bergen. Advisors are Xiaodong Luo and Geir Evensen in the DIGIRES project team at IRIS.

Job description
  • Investigate, develop and apply relevant research and methods on big-data compression and uncertainty quantification tailored for big-data assimilation problems.
  • Work closely with other team members, to integrate the developed methods into the practical use in applications with reservoir models.
  • Communicate and disseminate research results and findings internally and externally, in meetings, workshops, conferences and peer-reviewed publications.
  • Complete a Ph.D. program including the required coursework at the University in Bergen.
  • Carry out research in collaboration with the project team and publish the results in international refereed journals.
  • M.Sc. degree in one of the following areas: mathematics, physics, statistics, computer science, or any other relevant natural science or engineering discipline. We give preference to applicants with appropriate background and experience in machine learning, data assimilation, inverse problems, and signal or image processing.
  • Strong programming skills in Python, C, Fortran, or another scientific programming language, and experience with Linux and scripting.
  • Documented qualifications in written and oral English as requirements for Norwegian Higher Education.
We offer
  • Salary start at NOK 436 900 per annum, and follow ordinary meriting regulations.
  • Insurance and pension agreement for the position period.
  • Six weeks of holiday each year.
  • An exiting and inspiring work environment.
  • Close cooperation with industry partners in the project.

Apply for position

Søknadsfrist: 31.03.2018

Kontakt: Geir Evensen, Chief Scientist
Telefon: (+47) 930 90 947

Kontakt 2: Xiaodong Luo, Senior Research Scientist
Telefon: (+47) 51 87 56 25