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to the development of a multi-component framework for reliable and computationally efficient fatigue diagnosis and prognosis of steel structures. Building on the group's established expertise in virtual sensing and
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to the development of a multi-component framework for reliable and computationally efficient fatigue diagnosis and prognosis of steel structures. Building on the group's established expertise in virtual sensing and
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a particular focus on the integration of artificial intelligence with wireless sensing and communication. The research will study how radio signals and multimodal sensor observations can be jointly
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transportation system which include compression and liquefaction. The impurities will pose a safety and lifetime estimation risk to the system as they are very corrosive. There is a need to expand the knowledge
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systems and edge intelligence. Advanced Architectures & Edge AI: Familiarity with modern neural networks is required. Experience with edge-specific model compression—such as knowledge distillation
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with Imperial College London and the new DTU Smart Sensing Lab. The project is supervised by Associate Professor Rico Krueger and co-supervised by Associate Professor Carlos L. Azevedo at DTU, with
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/forskning/institutter-centre/institut-regnskab . For additional information regarding the PhD position, feel free to contact Associate Professor, Tim Neerup Themsen, [email protected] . Employment and salary A
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). Experience with radar measurements, remote sensing, glaciology, or scientific programming is an advantage but not a requirement. Proficiency in English is required. We value curiosity, initiative, and an
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fellowship, please contact the principal supervisor. Please do not send applications to the principal supervisor directly, nor expect advise on how to write your applications, but do feel free to get in touch
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maintain and develop the operational system around the National Hydrological Model for real-time data generation as well as integrating new data sources such as remote sensing. A central aspect of the role