Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Tallinn University of Technology
- Fundació per a la Universitat Oberta de Catalunya
- Nature Careers
- Atlantic Technological University
- CNRS
- Iquadrat Informatica SL
- La Trobe University
- Loughborough University;
- Lulea University of Technology
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Poznan University of Technology
- Technical University of Cluj Napoca
- University of Birmingham
- University of Luxembourg
- 5 more »
- « less
-
Field
-
Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management
-
and EU-funded research projects, and has extensive know-how in 5G/6G communication platforms, IoT platforms, and Demand Response algorithms for the Smart Grid. IQU is also active in many EU-funded
-
: Digital twin development for heritage risk preparedness AI-based predictive monitoring (humidity, flooding, structural stress) Integration of GIS/BIM, LiDAR and IoT telemetry Federated data architecture and
-
Imagine a world where sensors don’t just collect data, they think. With the exponential growth of the Internet of Things (IoT) and edge computing, the demand for ultra-low-power systems that can
-
. Reviews by the Gender & IoT project, DSIT, and Ofcom show that everyday consumer technologies, including IoT devices (e.g., smart cameras, speakers, etc), wearables, GPS trackers, and AI-based tools
-
of higher education in engineering or fields related to agriculture Enrolled in a PhD programme (Doctoral studies) Skills / Qualifications Background in smart agriculture, environmental monitoring, IoT
-
), cost-effective Internet of Things (IoT) sensors, and real-time data analytics. The overarching aim is to enhance energy efficiency, extend battery lifespan, and optimize power distribution within SDVs by
-
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
-
: Enhancing full-scale power-speed assessment reliability by using IoT and big data management Summary This PhD research focuses on uncertainty challenges caused by various disturbances (wind, wave, current
-
-year contract starting September/October 2026 https://www.eu4greenfielddata.eu/ APPLICATIONS OPEN ON Juanary 5th 2026 Are you an aspiring researcher ready to drive the digital and green transition in