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We have 95 edge computing PhD Projects, Programmes & Scholarships

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edge computing PhD Projects, Programmes & Scholarships

We have 95 edge computing PhD Projects, Programmes & Scholarships

Architecture for decentralising intelligence in dynamic cloud-fog-edge compute continuum

AI-enabled IoT systems are becoming an essential and integral part of our daily lives. For example, systems like e-health, smart homes, and smart manufacturing have already demonstrated a huge impact. Read more

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis [SELF-FUNDED STUDENTS ONLY]

In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis

In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. 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

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more

Innovating IoT Security Through Quantum Metamaterials and Artificial Intelligence

The literature indicates significant advancements in securing IoT networks, especially against quantum computing threats. Bagchi 2023 proposes a post-quantum lattice-based secure framework called LAS-AIBIoT for ambient intelligence-assisted blockchain-based IoT applications. Read more

Investigating Quantum Machine Learning for Cyber Security

Quantum Machine Learning (QML) is an emerging field of research that leverages quantum computing to improve the classical machine learning approach to solve complex real-world problems. Read more

Machine learning for extreme scale computational imaging in radio astronomy

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on deep learning for extreme-scale computational imaging in radio astronomy. Read more

Computational imaging in low resource settings

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on computational imaging in low-resource settings. Read more

Large area 2D semiconductor platforms

Project description. Revolutionising the semiconductor industry with next generation 2D materials and devices. Moore’s Law is currently being challenged with Nvidia CEO recently claiming it is over. Read more

Quantifying Discretisation Error in Climate Models

A significant challenge in climate models is discretisation error. even on cutting-edge hardware it is impossible to use fine enough discretisations to resolve underlying physics, which can have a significant impact on modelling results. Read more

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