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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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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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possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en
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) Personal characteristics We are looking for someone who: Is curious, structured, and able to work independently on complex research problems Collaborates well in interdisciplinary teams and contributes to a
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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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, 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
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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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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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analysis (FEA) and strong skills in FEA software such as ABAQUS Hands-on experience in the construction and application of deep learning neural networks on material design by using PyTorch or Matlab PLEASE
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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