The University of Stavanger invites applications for a Postdoctoral Fellow in Decision and Data Analytics at the Department of Energy Resources, Faculty of Science and Technology.
Title: Decision and Data Analytics for planning and implementation of IOR Pilot Projects
The objective of the position is to strengthen research, and to give researchers/scholars holding a doctoral degree within relevant academic fields the opportunity for further qualification toward full professorship.
The Postdoctoral researcher will be a member of the Decision and Data Analytics research group at the Department of Energy Resources.
The Postdoctoral researcher will be under the supervision of Professor Reidar B Bratvold.
The research project will be carried out at the University of Stavanger. It is assumed that the appointee will work full time on the project and that she/he will participate in the academic community at the faculty and university.
About the project
Although IOR projects are attractive from the perspective of improved recoveries, there are two key issues that complicate the IOR project decision. The first is decisions related to pre-investments required to ensure future flexibility for the implementation of possible future IOR projects at the time of the initial development program. Moreover, pre-investments required for the facilities to be capable of handling a possible future, and not well-defined IOR project, usually are very hard to justify. How, then, can robust IOR investment decisions be made?
In analyzing the challenges and developing decision analytic methods to deal with these issues, the project will build on the world-leading competence at UiS within the areas of IOR, uncertainty analysis, and decision engineering. The objective of the project is to improve decision making and uncertainty analysis for the planning and implementation of IOR projects (smart water injection, polymer/surfactant injection, etc.) by using a generic decision-driven data-assimilation approach.
Main duties and responsibilities
The main objective of this project is to study the impact of uncertainty about the benefits of a technology on adoption and information gathering decisions. A decision and data analytical framework for the purpose of generating decision supporting information for IOR projects with a particular focus on the IOR pilot project decisions will be developed, evaluated and tested. A core element of the project is learning-by-doing (sequential learning) approaches leveraging Bayes’ theorem and dynamic programming to identify and value optimal information gathering sequences, given realistic constraints, for IOR pilot projects.
The topics of interest are:
See "Regulations concerning terms and conditions of employment for the posts of post-doctoral research fellow and research fellow, research assistant and resident" at the University of Stavanger.
UiS has an Acquisition of Rights Agreement for the purpose of securing rights to intellectual property created by its employees, including research results.
The University is committed to a policy of equal opportunity in its employment practices. The University currently employs few female postdoctoral researchers within the academic field in question, and women are therefore particularly encouraged to apply.
The position has been announced in both Norwegian and English. In the case of differences of meaning between the texts, the English text takes precedence.
More information on the position can be obtained from Professor Reidar Bratvold, tel: +4751832260, e-mail:email@example.com
Information about the appointment procedure can be obtained from HR-advisor Margot A.Treen, tel: +4751831419, e-mail: firstname.lastname@example.org.
To apply for this position please follow the link "Apply for this job". Register your application and CV including relevant education and work experience.
The following additional documents must be uploaded as attachments to your application in separate files:
The documentation must be available in either a Scandinavian language or in English. If the total size of the attachments exceeds 30 MB, they must be compressed before upload.
Information and documentation to be taken into account in the assessment must be submitted within the application deadline. Contact details for three references must be provided in the application or upon request.
Please note that information on applicants may be published even if the applicant has requested not to be included in the official list of applicants - see Section 25 of the Freedom of Information Act.
UiS only considers applications and attachments registered in JobbNorge.
The University of Stavanger (UiS) has about 12,000 students and 1,700 employees. We are the only Norwegian member of the European Consortium of Innovative Universities. The university has high ambitions. We will have an innovative and international profile, and will be a driving force in knowledge development and in the process of societal change. Together with our staff and students, we will challenge the well-known and explore the unknown.
The Department of Energy Resources is part of the Faculty of Science and Technology. The international academic staff conducts research related to energy resources, technology for improved oil recovery (IOR), decision analysis and geosciences. Study programs offer courses related to the exploration and utilization of petroleum and natural resources. The department focuses on internationalization, with development of study programs in English and high mobility among academic staff and students. The department contributes significantly to the research activities and leadership of The National IOR Centre of Norway, established by the Ministry of Petroleum and Energy. There are currently 50 employees in the department including research fellows and postdocs.
The primary evaluation criteria will be "relevance of methodological skills relative to the research problem (s) found in the Job description”. A postdoctoral research fellowships is a qualification position in which the main objective is qualification for work in academic positions. Having completed a doctoral degree closely related to the research problem (s) is required.
Candidates from non-English speaking countries outside the Nordic countries must provide official documentation of their English competence. Approved tests and results are:
Emphasis will also be placed on: