A glimpse into a collaboration between academia and industry

By Andrea Leone, Ergys Çokaj, Halvor Snersrud Gustad Halvor is an industrial-PhD student at TechnipFMC, a global leader in oil and gas engineering, and the Department of Mathematical Sciences of the Norwegian University of Science and Technology (NTNU). Andrea and Ergys are PhD students at the Department of Mathematical Sciences […]

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

My name is Halvor Snersrud Gustad and I am a first year industrial-Ph.D. student at TechnipFMC in cooperation with the Department of Mathematical Sciences of the Norwegian University of Science and Technology (NTNU) and the European training network THREAD. I am Ph.D. student in the Industrial Ph.D. Scheme of 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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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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