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We have 113 reliability PhD Projects, Programmes & Scholarships

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reliability PhD Projects, Programmes & Scholarships

We have 113 reliability PhD Projects, Programmes & Scholarships

Advanced Maintenance Management of Offshore Renewable Energy Systems

  Research Group: Communication and Networks
Renewable energy plays an importance role in the road to net-zero greenhouse gas emissions, limiting the global temperature increase by up to 1.5°C by 2050. Read more

Multi-Three-Phase Drives for Electric Transport

The popularity of power electronic drives used to control electrical machines is increasing, pushed by both the surge of renewable energy generation and the ongoing electrification of transport. Read more

Distributed Algorithm Wireless Sensor Networks

Wireless sensor network (WSN) is a group of a spatially distributed and dedicated sensors communicating via a wireless medium and cooperatively monitoring the physical conditions of the environment such as temperature, sound, speed, pressure, humidity, etc. Read more

Development of an Adaptive Predictive Maintenance Framework for Industrial Systems

Applications are invited for a fully funded PhD position to start in October 2024. About the position. The School of Engineering at University of Sunderland, UK is pleased to announce a fully funded (tuition fee waiver + monthly stipend) PhD position. Read more

Peer-sourcing AI agents for future network autonomy

All connected services across emergent edge-computing devices will run directly or indirectly from the future 6G wireless ecosystems (e.g., unmanned automotive/ship, digital twins, extended reality, etc.) In 2025, the 5G will cover more than 50% of total wireless media revenue and this grows up to about 80% in 2028. Read more

Building Resilience: Investigating Progressive Collapse in Wooden Structures

Self funded project. 3 years start date October 1st 2024. Project Summary. The project aims to develop advanced computational models for simulating the progressive collapse behaviour of wooden structures under various loading scenarios. Read more

Leveraging Statistical and Machine Learning Approaches for Engineering Design under Uncertainties

Are you passionate about pushing the boundaries of engineering design and addressing real-world challenges? Embark on this exciting journey to develop novel statistical and machine learning methods to enhance engineering design in the presence of uncertainties, and contribute to shaping the future of computational engineering design. Read more

Edge intelligence for Internet of Things

  Research Group: School of Computing
Edge intelligence for the Internet of Things (IoT) presents a revolutionary solution to the limitations of existing approaches to data processing and decision-making. Read more

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