40 structures "https:" "https:" "https:" PhD positions at NTNU Norwegian University of Science and Technology
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-funding from industry and academic partners. You can read more about NICE on https://www.ntnu.edu/nice. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research
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such interdependencies explicit while remaining compatible with established workflows. The aim is to propose a structured representation of vessel designs that (1) integrates with current design practices and tools, (2
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well as researchers from 15 international institutions. More on the project at http://sure-ai.no . Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality
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), it is important that you are able to: Have a high level of personal responsibility, initiative, motivation and ability to work in a project team as well as independently. Work in a structured way, set
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structured way, set goals and make plans to achieve them Present and discuss your research with other professionals Be highly motivated by fundamental scientific research of practical relevance Get involved
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team Work in a structured way, set goals and make plans to achieve them Present and discuss your research with other professionals Get involved and contribute constructively with feedback Show enthusiasm
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characteristics Highly motivated for applied and collaborative research. Excellent communication and teamwork skills. Self-driven, structured, and reliable. Innovative mindset and ability to work across disciplines
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of the position Numerical simulations of nonlinear photonic waveguides and devices Photonic design of hybrid integrated laser structures for manufacturing at NTNU or in collaboration with external foundries
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transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship surveillance; Decarbonization and energy management
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, and reinforcement learning for adaptive decision-making. A key aim is to connect wireless phenomena to learning robustness by combining physical-layer signal structure and signal-processing insights