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We have 9 Artificial Intelligence PhD Projects, Programmes & Scholarships in Reading
Artificial Intelligence PhD Projects, Programmes & Scholarships in Reading
We have 9 Artificial Intelligence PhD Projects, Programmes & Scholarships in Reading
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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Toxic effects of breast cancer treatment on the heart: using artificial intelligence to predict the potential for heart failure
Project Overview. . Breast cancer is the most common cancer worldwide with ~15% of cases caused by a single gene, HER2. These women are treated with an antibody therapy (e.g. Read more
Human-centric, data-driven model predictive control strategies for buildings
There is significant potential for big data and data science (e.g. Read more
Developing computing architectures for improving the simulation of fog
To numerically simulate the formation of fog, a horizontal spatial resolution approaching 1 metre or less is highly desirable to improve scientific understanding… Read more
Vehicle Re-Identification Using Self-Supervised Vision Transformers
Vehicle re-identification (Re-ID) is one of the primary components of an automated visual surveillance system. It aims to automatically identify/search vehicles in a multi-camera network usually having non- overlapping field-of-views. Read more
Zero-Shot Learning for 3D Point Cloud Segmentation
Zero-shot learning is the task of learning new classes that are not seen during training. It has received a lot of attention in recent years particularly in deep neural networks (DNNs) based 2D image classification. Read more
A new approach to modelling complex human/robot movement dynamics using techniques from machine learning
Advances in sensing and communications have made it easy to obtain large sets of measurements about an entity, activity or event. Read more
Crop Type Classification Using Optical Remote Sensing
Crop type mapping at the field level is necessary for a variety of applications in agricultural monitoring and food security. In this thesis, the goal is to develop a suitable deep neural network architecture that could detect different crop types in remote sensing images. Read more
Interbrain dynamical functions for anticipating synchronisation under mutual interactions
How can we communicate with other members of society and synchronise our motion in real-time? Crucial to a sense of communication is the ability to entrain perceptually with other members of society, i.e., to be able to follow and to lead, while maintaining individual autonomy. Read more
Development of a collaborative robot – human-robot collaboration
Robots work effectively in factories. For example, in car factories, huge robotic arms pick up car parts and join them to the skeleton of the car, working at less than millimetre and millisecond precision. Read more
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