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We have 523 Artificial Intelligence PhD Projects, Programmes & Scholarships

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Artificial Intelligence PhD Projects, Programmes & Scholarships

We have 523 Artificial Intelligence PhD Projects, Programmes & Scholarships

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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Mapping the Character of Geographic Places

  Research Group: Visual Computing
Historically maps were often designed to engage the reader and to communicate some particular aspects of the places portrayed, including the appearance of landscape and of individual buildings. Read more

Research Associate / PhD Student (m/f/x)

As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). Read more

How AI-driven design tools influence intrapreneurship in engineering businesses

  Research Group: Engineering Education and Management
Artificial Intelligence (AI) is profoundly influencing and revolutionizing the engineering industry by significantly enhancing productivity, efficiency, safety, and innovation across various domains. Read more

PhD Studentship (3 years): Managing Organisational Response Strategies to AI-powered Disinformation Attacks in the Cyber Space

Applications are invited for a three-year PhD studentship, supported by the College of Business and Social Sciences to be undertaken within the Department of Operations and Information Management at Aston University. Read more

PhD in Computing Science - Interactive Model-based Probabilistic Visualisations for Exploring Decisions

This studentship is linked to the DIFAI project. Applicants are invited for a fully funded PhD studentship (international fees + stipend at research council rates) in a collaborative project between the University of Glasgow and Aegean Airlines (Athens, https://en.aegeanair.com/). Read more

Revolutionising Construction: Harnessing Digital Transformation for Sustainable Futures

The construction industry, known for its low profit margins, high energy consumption, significant greenhouse gas emissions, and extensive waste, urgently requires a transition towards more sustainable and efficient practices. Read more

Machine learning for extreme scale computational imaging in radio astronomy

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on deep learning for extreme-scale computational imaging in radio astronomy. Read more

Foundations of deep learning for scalable computational imaging

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on foundational deep learning methodology for computational imaging in astronomy and/or medicine. Read more

Computational imaging in low resource settings

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on computational imaging in low-resource settings. Read more

Learning-based Resilient Image Compression for Object Detection

The project. The PhD project is a collaborative project between MBDA UK and the University of Bristol’s Visual Information Laboratory, on ‘Learning-based Resilient Image Compression for Object Detection’. Read more

Language Model-Grounded User Simulation for Personalised Conversational Systems

This PhD project aims to advance the development of personalised conversational systems by leveraging user simulation, an area of research supported by recent advancements in large language models known for their strong capability in natural language understanding and generation. Read more

SustAI CDT - The URKI AI Centre Doctoral Training in AI for Sustainability is now recruiting for September 2024

Environmental sustainability is one of the greatest challenges the world is facing, with many organisations and countries including the UK setting ambitious targets to reduce emissions and waste and increase renewable energy production. Read more

Thrive: Finishing School Well

Statistical Machine Learning and Data Science - PhD and Masters - A highly competitive scholarship to develop new machine learning, statistics and data-driven methods to battle social disadvantage in NSW. Read more

Combining CRISPR-screens and AI to Identify Novel Therapeutic Strategies to Target Cancer-Stroma Interactions

A fully funded PhD Studentship is available to work with Dr Angus Cameron, Reader in Cell Signalling and Tumour Cell Biology, Barts Cancer Institute at Queen Mary University London, Dr Otto Morris, Senior Biological Data Scientist at Exscientia, and Professor Pedro Cutillas, Professor of Cell Signalling and Proteomics, QMUL, Barts Cancer Institute at Queen Mary University London. Read more

AI-based Identification of New Drug Targets for Personalised Oncology

A fully funded PhD Studentship is available to work with Professor Francesca Ciccarelli, Lead of the Centre for Cancer Genomics and Computational Biology, Bart's Cancer Institute at Queen Mary University of London. Read more

Audio/acoustics Machine Learning

One fully-funded PhD studentship including fees and stipend is available for an outstanding candidate to join the Centre for Vision, Speech and Signal Processing (CVSSP), part of the University of Surrey’s Institute for People-centred Artificial Intelligence (PAI), in partnership with Fraunhofer Institute for Integrated Circuits IIS. Read more

Real-Time Brain Injury Prediction and Protection Framework for Intelligent Vehicles

The advancement of intelligent vehicles (IVs) has significantly improved their collision avoidance capabilities under normal driving conditions, yet the complete prevention of accidents remains elusive. Read more

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