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We have 14 Artificial Intelligence PhD Projects, Programmes & Scholarships in Sheffield



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Sheffield  United Kingdom



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Artificial Intelligence PhD Projects, Programmes & Scholarships in Sheffield

We have 14 Artificial Intelligence PhD Projects, Programmes & Scholarships in Sheffield

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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Human-like performance in neuromorphic robots

This scholarship is to support the Horizon Europe project PRIMI. Performance in Human Robot Interaction via Mental Imagery, led by Professor Alessandro Di Nuovo (scientific coordinator). Read more
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Advanced magnetic resonance imaging methods for imaging the lungs of people with cystic fibrosis

Magnetic Resonance Imaging (MRI), and specifically functional MRI using hyperpolarised xenon-129 (129Xe-MRI), is a powerful imaging technique that provides detailed and sensitive information about lung diseases such as Cystic fibrosis (CF). Read more

Inferring through interaction the behaviour of real or simulated agents

This project strives to advance Turing Learning which is a family of machine learning methods for behavioural inference that do not rely on similarity metrics ( Read more

Nonlinear Model Predictive Control

Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method, allowing systematic and optimal handling of constraints, nonlinearities and uncertainties. Read more

Advancing the utility of modular self-reconfigurable robotics

This project strives to advance the foundations of modular robotics by studying novel capabilities of modular robots. Depending on the direction, the contributions of your project could be two-fold. Read more

Building connections between model predictive control and neural networks

Feedback control enables dynamical systems to interact autonomously and safely with the real-world. The classical approach to feedback control system design involves first identifying a model of the system and then solving an optimal control problem to generate a control policy. Read more
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