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PhD candidate in AI-driven ship design, connected to the newly established Norwegian Maritime AI Centre . The position aims to advance how artificial intelligence support ship design processes
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NTNU and the application process here. About the position The aim of this PhD project is to develop explainable physics-informed RNNs for autonomous navigation and neural observer design within
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AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition
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set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and
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different perspectives and draw well-founded conclusions Be flexible and open to adjusting the plan for the project as needed Emphasis will be placed on personal qualities. We offer An exciting job with an
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perspectives and draw well-founded conclusions Be flexible and open to adjusting the plan for the project as needed Emphasis will be placed on personal qualities. We offer An exciting job with an important
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new technologies, and drive innovation across both the business and public sectors. This initiative is established and financed through the government's significant investment in artificial intelligence
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of AI, develop new technologies, and drive innovation across both the business and public sectors. This initiative is established and financed through the government's significant investment in
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of repurposed batteries is limited. Developing a robust recycling process capable of accommodating diverse battery types, designs, chemistries, and other variables is therefore essential. In view
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Theory and Principles for Receiver Design This PhD project aims to develop a theoretical framework for biocommunication using semantic communication theory and principles. The foundational framework will