Improved privacy in the norwegian contact tracing app

In a chaotic, pandemic-ridden 2020, we have seen governments, academia and industry rushing to introduce a number of smartphone-based contact tracing solutions. The goal of these apps is to reduce the time it takes between someone testing positive to when their close contacts are notified, in addition to reaching out […]

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Industrial PhD: Machine Learning techniques for slender structures in the offshore industry

Background for the PhD TechnipFMC is a company delivering projects mostly within the offshore oil and gas industry. Fatigue of oil wells and risers (long slender beams) has been a major concern of the oil and gas industry during recent years. Wellheads were originally not designed for fatigue, and the […]

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Simulating slender structures with Lie group methods and data

We are Andrea Leone and Ergys Çokaj, two first year PhD students at the Department of Mathematical Sciences of the Norwegian University of Science and Technology (NTNU). Our positions as Early Stage Researchers ESR4 and ESR5 are part of the ETN THREAD project “Numerical Modelling of Highly Flexible Structures”. THREAD […]

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THREAD Innovative Training Network two PhD positions

Applications are invited for two PhD positions (Early Stage Researchers)  funded by the Marie Skłodowska-Curie Innovative Training Network Joint Training on Numerical Modelling of Highly Flexible Structures for Industrial Applications [THREAD] within the Horizon 2020 Programme of the European Commission. For more information about the project see https://thread-etn.eu/. One position […]

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Join the 2nd Norwegian Study Group with Industry (ESGI156)

We’d like to invite you to participate in the 2nd Norwegian Study Group with Industry. Details and an application form can be found on our website https://www.ntnu.edu/imf/esgi-156. The study group takes place at NTNU campus Ålesund, June 8 – 12, 2020.  It lies in a region of Norway that is famous for […]

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NTNU and industry research machine learning for slender structures

NTNU (Trondheim, Norway) collaborates with many industries: telecom, construction, shipyards, engineering, which strive to incorporate machine learning into their business and operation processes. One of such companies is TechnipFMC that develops surface, subsea, off- and onshore solutions for the energy sector. Its cooperation with NTNU includes research and co-supervision of […]

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Using physics to speed up reservoir simulation

By Øystein Klemetsdal, PhD student at NTNU and SINTEF Digital, and Olav Møyner, Postdoc at NTNU and SINTEF Digital. Reservoir simulation can in broad terms be described as simulation of fluids flowing in porous rock formations underground. Applications range from simulating the flow of oil and gas in petroleum reservoirs […]

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