PhD: Iceberg and sea ice drift estimation and prediction

The Norwegian University of Science and Technology (NTNU) in Trondheim represents academic eminence in technology and the natural sciences as well as in other academic disciplines ranging from the social sciences, the arts, medicine, teacher education, architecture to fine art. Cross-disciplinary cooperation results in innovative breakthroughs and creative solutions with far-reaching social and economic impact.

Ph.D. position

within the area “Iceberg and sea ice drift estimation and prediction”

Faculty of Information Technology, Mathematics and Electrical Engineering

Department of Engineering Cybernetics

A Ph.D. scholarship is offered within the area of “Iceberg and sea ice drift estimation and prediction” at the Department of Engineering Cybernetics.

Offshore operations related to oil and gas production are entering ice-infested regions in the Arctic. These operations must take into account incoming drift of ice, either in the form of icebergs, or sea ice, or both, depending on location and time of year. A system must be devised for prediction of ice drift, for the operation to take timely appropriate action (for ice or iceberg management, change of vessel heading, disconnect, etc.). This system will likely be based on estimation, that is, models of ice drift updated by information integrated from various sources and sensor systems, such as satellite, radar, sensor buoys, deployed sensor nodes, metocean data from other sources, etc. The task of the candidate is to develop such a system in a Moving Horizon Estimation framework using numerical optimization.

The Ph.D.-project is partially funded by, and will be run in close cooperation with Statoil ASA, the world’s largest offshore oil and gas operator, which has significant activities in the Arctics. It is aimed for experimental work to be carried out in polar regions. The project will tie in with activities in the IME Faculty’s research project, “CAMOS – Coastal and Arctic Maritime Operations and Surveillance”.

Applicants must have relevant education as M.Sc. in control engineering, engineering cybernetics, applied mathematics with specialization in numerical optimization or similar and documented qualification as required of doctoral students at NTNU. Experience and specialization within relevant topics such as ice drift and/or metocean modeling, marine hydrodynamics, state- and parameter estimation including Kalman filtering, moving horizon estimation and model predictive control, numerical software for optimization should be documented in the application, and will be given emphasis. In addition to documented excellent qualifications, personal qualities and strong motivation for a research career is important.

Application deadline: 8th August 2013

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