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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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Vacancies Postdoc position on Federated/Continual Learning for Time-Series IoT Data (TRUMAN Project) Key takeaways In this role, you will address the intricate challenge of enabling AI to learn
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Are you interested in real-time distributed systems, IoT connectivity, and AI-driven automation? The Department of Electrical and Computer Engineering at Aarhus University invites applications for a
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for IoT Wireless Sensor Networks Project Overview: We are looking for an outstanding Postdoctoral Researcher to join our ERC-funded project focused on solving one of the most pressing challenges in
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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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: 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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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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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 21 days 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
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objects focusing on new hardware security techniques in conjunction with wireless energy transfer for IoT applications. La personne recrutée mènera des activités de : * conception (électronique, logiciel
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navigation. Assist in building digital twin models to monitor drone health and mission performance. Contribute to IoT integration and real-time data acquisition systems. Participate in testing and deployment