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learning, power systems, and IoT and gain hands-on experience through simulations, hardware-in-the-loop (HIL) testing, and prototypes development. We offer: 4-year PhD position in one of the largest, most
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action. This project will establish a new paradigm for neuromorphic sensors, paving the way for next-generation, low-power solutions for IoT and edge AI. By completing this PhD project, you will not only
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Engineering and Mechatronics. The Proposed PhD thesis topic: “Intelligent Diagnostics of Electrical Machines through AI-Enabled IoT Systems: Design of Custom Embedded Hardware and Protocol-Aware Architectures
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Deadline : April 15th 2026 · Selection Process : Mai 2026 · PhD Start Date : September-October 2026 How to apply All information are provided on the website of the project : https://www.eu4greenfielddata.eu/
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. Teaching Profile: GITST: Introduction to Electronics; IoT Electronic Technologies for Smart and Sustainable Cities. Research Profile: 3307-Electronic Technology. Where to apply Website https://sede.upm.es
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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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signal processing, this research sets a new standard for sustainable cybersecurity in IIoT. The PhD candidate undertaking this research will gain expertise in cybersecurity, IIoT, signal processing, and
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Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
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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