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The successful applicant will conduct research to design and develop novel machine/deep learning based trust technologies for securing IoT services/devices. The successful applicant will conduct
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combination of in-situ data, IoT-based sensors, and remote sensing data. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within
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This fully funded PhD position is focused on People-Centred Design (PCD) for Sustainable Construction. Your research will directly contribute to developing AI-driven tools and IoT-enabled systems that make
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-driven tools and IoT-enabled systems that make buildings more energy-efficient, resource-efficient, and occupant-friendly. Potential areas of exploration include: AI-based decision-making techniques
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through terrestrial IoT networks is an attractive solution. Given the mobility and resource constraint of the underwater sensors, UAVs, and satellites, along with their sensitivity to environmental
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to our suit of professional development programs Available projects There are a number of joint PhD scholarship available to applicants from the range of projects listed below, competitively awarded with
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for industrial automation, IoT-enabled systems, and smart manufacturing processes. However, their energy-intensive production and poor recycling create long-term sustainability concerns, especially as demand
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and cost-effective, making them essential for industrial automation, IoT-enabled systems, and smart manufacturing processes. However, their energy-intensive production and poor recycling create long
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Competencies on IOT and Sensor technologies Good oral and written presentation skills in Norwegian
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next-generation electronics and computing solutions that solve technology-related challenges in fields such as autonomous robots, drones, IoT, smart grid, and healthcare. The section is a vital component