2,400 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions
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systems, you will develop new computational frameworks for data-driven game-theoretic control in large-scale multi-agent systems. These methods will contribute to applications such as multi-actor power
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fracture mechanisms in heterogeneous or composite materials. Development and implementation of advanced constitutive models and computational mechanics methodologies. Processing and analysis of experimental
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‑violation. For example, the candidate will do some of the tasks including: AI-driven Link Adaptation and MAC control – develop AI-based mechanism that proactively anticipate and respond to rapidly changing
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, provide only limited insight into how such interference behaves at system level. In this PhD project, you will develop the measurement and analysis methods needed to make these environments observable. You
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. Identify key requirements, design and train AI-driven adaptation methods, and evaluate their effectiveness in both laboratory and real-world settings by working with players, developers, and accessibility
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Vacancies PhD position in Mapping the Modern Electromagnetic Environment: Identifying Stray Currents in Complex, Interaction-Driven Systems Key takeaways The rapid electrification and digitalisation
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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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LiDAR based foundation models to radar, as well as the development of multimodal foundation models incorporating radar. A further challenge is how different radar representations and sensor configurations
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not necessary as training will be provided. Experience of computer modelling is desirable but not essential as full training will be provided in an active and well-resourced research group based in
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direction is the transfer of representations from vision and LiDAR based foundation models to radar, as well as the development of multimodal foundation models incorporating radar. A further challenge is how