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We have 307 Artificial Intelligence PhD Projects, Programmes & Scholarships for UK Students



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Artificial Intelligence PhD Projects, Programmes & Scholarships for UK Students

We have 307 Artificial Intelligence PhD Projects, Programmes & Scholarships for UK Students

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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Using AI to predict the effect of climate change on earthworks

  Research Group: School of Civil Engineering
Background. Recent experience and future climate projections show increasingly wet winters and increasingly dry summers. The resulting wetting and drying cycles are causing increased shrinkage and swelling of earthworks. Read more

Advanced Deep Learning Methods for Automatic Segmentation of Brain Tumours and other Intracranial Structures

Interested in a rewarding career in bioengineering? Get sponsored to do life-changing research in New Zealand!. Preoperative manual segmentation of Brain tumours is an extremely time-consuming task and adds an enormous amount of Neurosurgical workload. Read more

Integrated operational planning using Smart Energy Demand Management in maritime ports

Applications are invited for a fully-funded three-year PhD to commence in October 2024. . The PhD will be based in the Faculty of Business and Law, and will be supervised by Dr Jana Ries, Dr Negar Akbari and Dr Becky Canning. . Read more

School of Computer Science PhD Studentships

The School of Computer Science at the University of St Andrews is offering a number of PhD studentships for 3.5 years of study in our doctoral programme. Read more

Bio-Inspired Models and Biologically Plausible Mechanisms for Long-Term Motion Learning

Biological systems can learn from interactions with their environment throughout their lifetime. Learning is a defining ability of biological systems, whereby experience leads to behavioral adaptations that improve performance. Read more

Human-AI Collaboration for Resilient Emergency Care

About the Project. Autonomous and AI systems are an increasing part of daily life. As the range and impact of such systems increase due to fast advances in their underlying technology, UKRI has funded a number of investigatory research “nodes” to address the trustworthiness of autonomous systems. Read more

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