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We have 319 Artificial Intelligence PhD Projects, Programmes & Scholarships for Self-funded Students



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Artificial Intelligence PhD Projects, Programmes & Scholarships for Self-funded Students

We have 319 Artificial Intelligence PhD Projects, Programmes & Scholarships for Self-funded 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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PhD studentship in Specifying Safety in Hybrid Artificial Intelligence Systems

One fully funded, full-time PhD position to work with Craig Innes in the Institute for Perception, Action, and Behaviour (IPAB) at the School of Informatics, University of Edinburgh. Read more

Neuromorphic sensor signal processing for spatio-temporal tracking in low SNR

Neuromorphic (NM) Engineering provides an attractive alternative to conventional sensing and processing, with the key characteristic being that NM systems generate and propagate spikes as means of processing data. Read more

Deep learning and bioinformatics approaches for personalised medicine

An exciting opportunity to work within a highly multidisciplinary group at the Biomedical AI and Data Science Lab ( at the School of Cancer and Pharmaceutical Sciences to develop new computational pathology approaches to improve cancer patient treatment and diagnosis. Read more
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Vision-based robotic grasping and manipulation for future on-orbit operations

Future in-orbit space missions and operations will involve servicing and repairing satellites, assembling large infrastructure such as a solar power station, deploying assets for scientific investigation such as a space telescope, and capturing and retrieving space debris, etc. Read more

Computer Vision with Deep Learning for Human Data Modelling

This project aims at learning algorithms to model human data such as human images/video, 3D skeletal motion, 3D body/facial surfaces for computer vision tasks such as recognition, prediction and reconstruction. Read more

Biomedical Engineering with Deep Learning based Video Analysis

This project is focused on researching deep learning algorithms for analyzing video data, including traditional video and more advanced geometric features (e.g. Read more

MyWorld: Intelligent Underwater Scene Representation

Three-dimensional (3D) reconstructions obtained from image sequences are increasingly important as a means of enhancing our understanding of underwater organisms, objects, damage, and seabed structure. Read more

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