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28th February 2026 Languages English English English The Department of ICT and Natural Sciences has a vacancy for a PhD Candidate in Secure and Trustworthy Data Sharing for Maritime AI Model
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related algebraic and analytic structures for the analysis and modelling of complex sequential data. Path signatures, originating in stochastic integration and rough path theory, provide expressive
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, invariants, staged rollouts, and rollback mechanisms so that automation remains within sanctioned boundaries. Underpinning both is the need for dependability models that, combined with telemetry-driven
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within sanctioned boundaries. Underpinning both is the need for dependability models that, combined with telemetry-driven learning, can guide self-healing decisions in a way that reduces downtime without
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and analytic structures for the analysis and modelling of complex sequential data. Path signatures, originating in stochastic integration and rough path theory, provide expressive representations
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security Semantic modelling of industrial artefacts, knowledge representation and automated reasoning Your supervisor will be Associate Professor Anna Olsen . Your immediate leader will be the Head of
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Chemical Engineering, Nanotechnology or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master students can apply
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, a lot of digital traces are left for those in the form of technical drawings stored in different file formats (e.g. TIFF, PDFs). In addition, more complex models such as 3D representations of products
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using CT scanning, sorption measurements and characterization of the moisture state, modelling of freezable water, frost exposure testing, and mechanical characterization including strength, DIC, dynamic
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using CT scanning, sorption measurements and characterization of the moisture state, modelling of freezable water, frost exposure testing, and mechanical characterization including strength, DIC, dynamic