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We have 86 Artificial Intelligence PhD Projects, Programmes & Scholarships for European Students (exc UK)
Artificial Intelligence PhD Projects, Programmes & Scholarships for European Students (exc UK)
We have 86 Artificial Intelligence PhD Projects, Programmes & Scholarships for European Students (exc UK)
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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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
PhD Studentship in Cyber Security: Hardware and Embedded Systems Security for the Internet of Things
Overview. We are seeking candidates to develop hardware-assisted mechanisms for securing Internet of Things (IoT) devices. Relevant directions include. 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
Cryo-EM studies of amyloids in neurodegeneration
Our group develops new algorithms for cryo-EM structure determination and implements these in the popular image processing software RELION. Read more
AI-enabled 6G communication for immersive Tactile Internet (Marie-Curie Doctoral Network PhD position)
The online application details and the requirements of AU Graduate School, please check the link here. This is an exciting opportunity to be part of a Horizon Europe Marie Skłodowska-Curie Doctoral Network. Read more
PhD studentship in Economics and Computation
One fully funded PhD position to work with Aris Filos-Ratsikas in the School of Informatics at the University of Edinburgh, on a project titled “Algorithms and Mechanisms for Economic Environments”. Read more
Artificial Intelligence for Soft Robots
Animals exploit soft structures to move smoothly and effectively in complex natural environments. These capabilities have inspired robotic engineers to incorporate soft actuating technologies into their designs. Read more
Automating knowledge synthesis in biomedical literature using AI and language models
Knowledge synthesis can be a slow and cumbersome process but is an essential tool for medical and public health policy-makers. Formal systematic reviews require rigid protocols and extensive human effort from trained professionals, whereas a massive volume of research evidence emerges every year. Read more
Exploring the value of using large third-party artificial intelligence models in epidemiology, with examples using Twitter data
Large language models (LLMs) are an artificial intelligence approach that have recently been shown to have extremely promising ability, for example, for conversing with humans or performing tasks such as summarising or extracting information from text. Read more
Exploring the value of using large third-party artificial intelligence models in Congenital Heart Disease
Large language models (LLMs) are an artificial intelligence approach that have recently been shown to have extremely promising ability, for example, for conversing with humans or performing tasks such as summarising or extracting information from text. Read more
Optimizing Deep-Learning Solutions for Computational Imaging
The Statistics and Data Science group in the School of Mathematics, University of Birmingham, is recruiting a PhD student working on the cutting-edge data-driven algorithms for solving imaging inverse problems. This research aims at improving the quality of imaging via advancing the state-of-the-art reconstruction algorithms. Read more
Cross-tissue and cross-disease immunometabolic landscape characterisation at single-cell resolution
Commercial partner: Janssen Biotech, Inc. Immune cells play a fundamental role in health and disease, with many of their functions relying on the careful orchestration of metabolic and energetic pathways. Read more
Development of a semi-automated CT-brain analysis tool for application to real world clinical cohorts
Commercial partner: Brainomix, Oxford. Background. CT-brain imaging is the standard brain imaging modality used in the NHS and globally and is cheaper and better tolerated than MRI particularly in older, frail, multimorbid patients in whom MRI may be contraindicated. Read more
Label-free Learning from Large-Scale Multi-Modal Medical Images and Its Application to Automated Diagnosis of Eye Diseases
Summary. Artificial intelligence (AI) (particularly deep learning) has become the fundamental part of computer-aided medical diagnostics to aid clinical decision makings. Read more
A novel energy-efficient spiking neural network for real-time intrusion detection
Summary. This groundbreaking research project addresses the pressing need for enhanced network security in our increasingly AI-driven world. Read more
