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We have 37 Artificial Intelligence PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Edinburgh
Artificial Intelligence PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Edinburgh
We have 37 Artificial Intelligence PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Edinburgh
A PhD in Artificial Intelligence is designed to further your research in the field of AI. Research in Artificial Intelligence seeks to understand how technology can be applied to improve the lives of humans.
What's it like to do a PhD in Artificial Intelligence?
Doing a PhD in Artificial Intelligence, you'll be developing new technology that helps AI systems solve problems and make decisions. You'll likely have the opportunity to collaborate with experts from the local AI community.
Some popular research topics in Artificial Intelligence include:
- Machine learning
- Computer vision
- Intelligent robotics
- Natural language processing
- Data analytics
Your research will likely have three main objectives:
- Designing and implementing algorithms
- Testing and evaluating these algorithms
- Implementing your new solutions
Some popular AI research methods include machine learning, Bayesian techniques, deep learning and probabilistic reasoning.
You may also be asked to write a thesis that will contribute to the existing body of AI research. Your thesis must be defended in an oral viva examination at the end of your PhD.
Most PhDs in Artificial Intelligence are pre-designed, although some universities may accept students proposing their own research if it aligns with the research interests of the department.
Entry requirements for a PhD in Artificial Intelligence
The minimum entry requirement for a PhD in Artificial Intelligence is usually a 2:1 undergraduate degree in a relevant subject, although a Masters may sometimes be required.
You may also need some professional experience, although this is less common.
Financial support options for a PhD in Artificial Intelligence
A PhD in Artificial Intelligence will most likely have funding attached, meaning you’ll receive coverage for the cost of tuition fees and a living cost stipend depending on the programme.
PhD in Artificial Intelligence entry procedures
If you're applying for an advertised PhD, you'll simply submit your application through the department's website. You'll need to attach a copy of your university application and a research proposal.
PhD in Artificial Intelligence careers
You'll gain expertise in the latest in AI both during your PhD and through the publishing of your thesis, meaning you'll be well-equipped to enter the job market after graduation. Careers in Artificial Intelligence include working in finance, healthcare, transport and other service sectors.
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Artificial Intelligence and Private International Law
Artificial intelligence has the potential for improving decision making and developing society. The practical application of artificial intelligence may have cross-border implications, raising questions of jurisdiction and applicable law. Read more
Remix Culture and AI tools for Creativity
This project will explore the changing nature of creative production from the context of data driven AI tools in the Creative Industries. 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
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
Multi-objective optimisation of sensor network data collection with a mobile gateway
IoT applications such as precision agriculture and environmental monitoring often require sensors distributed over a wide area without fixed infrastructure. 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
Towards an Evolving Approach to Evaluate Security Monitoring Tools
With continuing growth in the size of computer networks and applications, the potential damage that can be caused is increasing. Intrusion detection is a common cyber security mechanism used to detect malicious activities in host and/or network environments. Read more
Forensic storage carving using AI
Storage devices tend to store information in blocks, and the arrangement of blocks in a certain order is the thing which represents a data object. 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
Embedding physical models into deep neural networks for sonar detection (co-funded by SeeByte Ltd)
Deep Neural Networks (DNNs) achieve the state-of-the-art performance in several tasks in computer vision, natural language processing, image reconstruction, and many other areas. Read more
The evolution of institutions for large-scale cooperation
Understanding how large-scale human societies arose from small-scale ones and continue to function is a central challenge in science. 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
Optical fibre sensors for overhead conductor line sag monitoring in smart grid
Electrical energy can be transferred from power plants to consumers via overhead power lines. With the advancement in sensors and communication technologies, traditional power systems have undergone a transformation towards smart grid systems. Read more
Autonomous Underwater Vehicle with multi-sensors prototype for underwater onsite monitoring
Maritime activities remain a crucial factor to the economy with high expectations for future growth. According to the United Nation, there are more than three billion people depend on marine and coastal biodiversity for their livelihoods. Read more
Introspection of Virtualised Services using AI
There has been a huge growth in the use of virtualised technologies for computing. This includes fully virtualised servers in the cloud, as well as more lightweight solutions such as containers or docker. Read more