|Location:||Lyngby - Denmark|
|Funding for:||UK Students, EU Students|
|Funding amount:||Not Specified|
|Placed On:||24th September 2018|
|Closes:||31st October 2018|
DTU Mechanical Engineering in cooperation with NTNU AMOS - Centre for Autonomous Marine Operations and Systems has an open PhD position in ship motion dynamics coupled with the subfields of estimation theory, and data analytics and communication. The multidisciplinary PhD project will address sea state estimation using a network of heterogeneous sensors, which, on a more specific level, involves network-based sea state estimation using simultaneous data from multiple ships. The PhD study is under the Double Doctorate Degree (cotutelle) agreement between NTNU (Norwegian University of Science and Technology) and DTU (Technical University of Denmark).
Responsibilities and tasks
Safe and efficient operation of marine vessels is key, independent on the actual context; for instance, navigation in rough weather and severe seas, inspection and maintenance of offshore windfarms, and drill operations for oil and gas exploration. The most important (compromising) factor in this regard is the wave system experienced during the operation. It is therefore essential to possess knowledge about the onsite wave system, or generally the sea state, since predictions and analyses of wave-induced loads and responses otherwise cannot be made. And, it should be clear that with the future’s autonomous ship it becomes even more important to have reliable estimates, in real-time, of the onsite sea state; realising that human ‘interference’ and gut feeling – normally securing safe and efficient marine operations – have been taken out of the loop.
The overall objective of this project, and potential future succeeding elaborations, is to study the use of various available means for sea state estimation (SSE). Typical means for SSE include free-floating wave buoys, remote sensing, wave radar measurements, and ship-as-a-wave-buoy, all of which are usually applied on an individual basis. This project should target the use of the (heterogeneous) means by fusing together combinations and/or several of the individual observation platforms in a single combined network. It is anticipated that the project focuses on ship-as-a-wave-buoy as the observation platform. The candidate may find supplementary background information here.
The project and its scientific contents are expected to cover classical ship motion dynamics coupled with data analytics and network theory. The successful candidate will manage to produce results that improve real-time SSE on both a local on-site position and on a more global geographic scale.
To apply, please read the full job advertisement at www.career.dtu.dk
Application deadline: 31 October 2018.
DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society; and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.
NTNU is the largest university in Norway, and it has the main responsibility for higher education in technology in Norway, and it is the country’s premier institution for the education of engineers. The university offers several programmes of professional study and a broad academic curriculum in the natural sciences, social sciences, teacher education, humanities, medicine and health sciences, economics, finance and administration, as well as architecture and the arts.
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