51 electric-machine-design "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in Norway
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system for ferry quays, containing labelled damage data as training material for a machine learning model capable of automatically classifying structural damage from drone inspection images. The project
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well as resource limitations. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning
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-efficiency requirements at the energy edge. Further, you will incorporate compliance-by-design AI architectures and models and validate our solutions across key energy use cases such as energy market
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year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current
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, and pattern recognition for clinical human-machine interfaces. A research stay at UNB is anticipated as part of the position. The appointed candidate is expected to collaborate across the MishMash
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of Oslo’s Department of Informatics (IFI) and is hosted by the Network and Distributed Systems Research Group (ND) with co-supervision from IFI’s Machine Learning section and the University of Inland
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compliance-by-design AI architectures and models and validate our solutions across key energy use cases such as energy market optimization (demand response, transactive energy peer-to-peer trading, and
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and Distributed Systems Research Group (ND) with co-supervision from IFI’s Machine Learning section and the University of Inland Norway’s research group for User Perception and Engagement in XR
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credentials. Required qualifications: Applicants must hold a Master's degree or equivalent in informatics, computer science, biomedical engineering, electrical engineering, human-computer interaction, or other
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completed doctoral education up to an obtained doctoral degree. The PhD Candidate position is part of AIMARIA - Accelerating Innovation in Marine AI-powered Bioprospecting. AIMARIA is a large European