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systems, capable of designing and deploying innovative IoT solutions for research projects such as air quality monitoring, water leak detection and energy monitoring of electric vehicle batteries
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teams to develop research activities in AI, cybersecurity, and the Internet of Things (IoT), leading to soliciting and securing externally funded research and publishing peer-reviewed articles. Utilize
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systems, IoT security, security analytics, operational cybersecurity, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security AI and Emerging Fields: Smart
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: Support the development of AI and machine learning algorithms for autonomous navigation. Assist in building digital twin models to monitor drone health and mission performance. Contribute to IoT integration
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
digital twin frameworks for civil, energy, and built-environment infrastructure. These frameworks integrate IoT-enabled sensing and real-time analytics to support continuous monitoring, data-driven
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(Federated Learning). Analyze Mobile & Wearable Data: You will work with noisy, high-frequency time-series sensor data (e.g., accelerometers, gyroscopes, biosignals) from mobile IoT devices. You will address
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photovoltaic–thermal (PVT) panels, anaerobic digestion, biogas-fuelled micro-CHP, phase-change material (PCM) thermal storage, and IoT-enabled monitoring and control. The successful candidate will lead
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to ensure that the developed notations and algorithms address the companies’ needs. More about the related project can be found here: https://innovationsfonden.dk/da/news-article/ai-skal-forudsige-og-forklare
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Technologies Initiative (https://wirelesspower.ieee.org/ ). This project is characterized by a strong multidisciplinarity, with applications in the field of IoT. You will work on electronics, wireless
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
techniques for IoT applications. One common communication scenario in IoT applications is massive machine-type communications (mMTC), where a large number of devices transmit sporadic, small packets. In