The Department of Energy Resources at the University of Stavanger invites applications and nominations for an open rank tenured faculty position beginning Autumn 2019 or as soon thereafter as possible. Applicants should demonstrate the potential for research and teaching excellence in any of the sub-fields of Decision Analysis, Computational Engineering, Analytics, Statistics, or Operations Research broadly construed. We are especially interested in candidates who can build a strong methodological research base, contribute to applications in relevant to the production and transformation of energy resources, and be a successful teacher in our bachelor, master, and/or PhD programs. Duties will include teaching undergraduate and graduate level courses.
We seek outstanding candidates for the open rank position and are looking for a scientist with a track record in decision and data analytics including computation engineering and modeling. The candidate will teach, develop courses and conduct research on the development and application of computational engineering, including decision and data analytics, relevant to the production and transformation of energy resources.
We will be considering candidates within a broad set of disciplines such as Decision Analysis, Operations Research, Analytics, Machine Learning, Applied Mathematics, Computational Physics, and related disciplines. Candidates must have a Ph.D. and must demonstrate a strong commitment to high-quality research and evidence of teaching potential.
The Department of Energy Resources is a strong academic environment with international top-level research and education. The department boasts an international environment, with scientific staff conducting research into energy resources, technology for improved oil recovery (IOR), decision analysis and geology. The study programmes at the department cover search and exploration of petroleum and natural resources. Internationalization is a priority, with the development of study programs taught in English and high mobility among scientific staff and students. The department contributes significantly to research activities and management of The National IOR Centre of Norway, established by the Norwegian Ministry of Petroleum and Energy in 2013.
Faculty and graduate students conduct research in areas including: subsurface characterization, decision analysis; uncertainty modeling and geostatistics; computational modeling of subsurface flow (reservoir simulation); enhanced oil recovery by thermal means, gas injection, and the use of chemicals; well test analysis; advanced well modeling; carbon capture and sequestration; geothermal engineering; process optimization and inverse modeling; and modeling and optimization of large-scale energy systems.
The position will be closely tied to a new program on decision oriented Computational Engineering starting in 2019. The candidate will teach, develop courses and conduct research on the development and application of computational models, including decision and data analytics, relevant to the production and transformation of energy resources.
Our new staff member will use methods such as exploratory analysis of large data sets, decision analysis, operations research, network analysis, risk analysis, economic analysis, complex systems methods, and systems modeling. The candidate's expertise should be applied to diverse decision and modeling challenges in energy resource management.
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Reidar Bratvold
Professor
University of Stavanger
Norway
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