14 machine-learning scholarships at NTNU Norwegian University of Science and Technology in Norway
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to an obtained doctoral degree. The PhD candidate will investigate fundamental issues on edge intelligence, with focusing on distributed learning and inference of foundation models in the IoT-Edge-Cloud continuum
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Experience with AI and machine learning applications is welcome. Personal characteristics Willingness to learn new fields in a multidisciplinary research environment. Problem solver, with ability and
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combining advanced machine learning (ML) and acoustic emission (AE) technologies in ship thrusters and machinery. The objective is not only early detection of subsurface damage but also real-time
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research project under supervision. Depending on the exact project decided this will involve theoretical work, analysis of large data sets, and considerable numerical programming. The candidate will learn