Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
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
-
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
-
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
-
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/
-
decision-making, industrial IoT, and smart-factory technologies to enhance efficiency, quality, and customer service. (https://www.listerwindows.co.uk ) The successful candidate will have full access
-
. 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
-
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
-
researchers, engineers, technicians, post-doctoral researchers, PhD students, and administrative staff. The project is part of the regional POOCA project (“Organic Photovoltaics for Communicating and Autonomous
-
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
-
Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and