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We have 23 Software Engineering PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Edinburgh
Software Engineering PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Edinburgh
We have 23 Software Engineering PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Edinburgh
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Compiler Construction for Digital Twin Simulations
System phantoms, digital twins, shadow systems. They go by different names but they share the same principle. let a machine simulate cyber-physical systems instead of observing the real world. Read more
Sustainability and resilience through federated cloud services in the Internet of Things
Early reference architectures proposed for Internet of Things (IoT) applications assumed that the majority of processing would be performed by cloud services. Read more
Supporting Communities through Optimisation of Deliveries
The delivery of goods and services to urban and rural communities, on a commercial and a voluntary basis, is increasing which in turn has the potential increase environmental impact and congestion. Read more
Blockchain-based Ecosystem to Combat Fake News
Building blocks for the so-called "Internet of Value" are provided by blockchain and distributed ledger technology (DLT), which allow for the recording… Read more
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PhD studentship in Testing AI Tasks within Autonomous Vehicles
One fully funded PhD position to work with Dr. Ajitha Rajan in the School of Informatics at the University of Edinburgh, on a project titled “Testing AI Tasks within Autonomous Vehicles”. Read more
Approximate Computing for next-gen AI-specific Accelerators
Intelligent systems are pervading every aspect of modern society and their use has become essential in many industries, from big data to industry 4.0, from cloud computing to the Internet of Things, from smart cities to smart wearable devices. Read more
Compiler-Level Precision Tuning
It is currently debated whether we are approaching or already passed the end of Moore’s law. Researchers are investigating new approaches to increase system performances. Read more
Enhanced Deep Learning and Semantic-based Predictive Analytics for Reactive IoT Streaming Data and Applications
The emergence of Internet of Things (IoT) has formed a bridge that connects most of the real-world entities with the related computing entities. Read more
Semantic Model-Driven Explainable Machine Learning Approach for IoT Applications
The increasing availability of sensors and smart things has caused a rise in Internet of Things (IoT) applications. Such technologies has permeated into every aspects of human activities, including technological advancement. Read more
Blockchain Technology and Decentralised Finance (DeFi) : The Bridge to the Future of Finance
Blockchain and Distributed Ledger Technology (DLT) provide building blocks of the so-called “Internet of Value”, since they enable recording of interactions and transfer “value” referring to any record of ownership of asset - for example, money, securities, land titles – and ownership of specific information like identity, health information as well as other personal data. Read more
Adversarial Learning for Industrial Control Systems
Cyber-attacks are increasingly posing more and more threat to information assets and computer systems in general. This is particularly so in industrial control systems which refer to a generalized group of automation systems employed in controlling and keeping track of industrial and manufacturing facilities [1]. Read more
A unified approach based on semantic models and continuous deep learning to sensor data uncertainty and inconsistency in smart systems - Project ID SOC0025
Smart IoT (Internet Of Things) based Applications, such as smart city/building/home and smart factory, are characterized as sensor-driven technology, which has the tendency of producing huge volume of data with increasing velocity. Read more
Making AI more eco-friendly
As AI is becoming more ubiquitous in many research fields and applications, AI models need to be energy efficient. The training of AI models (such as deep networks) requires extensive computational power, especially when large datasets are used, and multiple runs for prototyping and hyper-parameters tuning are needed. Read more
Using multi-agent systems to help households reduce peak electricity consumption in ways they perceive as fair
The UK and the EU have both recently updated their legislation to put net zero emissions targets in place for 2050. This requires moving away from using fossil fuels for energy generation, and moving towards renewable sources such as photovoltaic cells and wind turbines. Read more
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