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We have 82 Computer Vision PhD Projects, Programmes & Scholarships for European Students (exc UK)
Computer Vision PhD Projects, Programmes & Scholarships for European Students (exc UK)
We have 82 Computer Vision PhD Projects, Programmes & Scholarships for European Students (exc UK)
Hypoxic-Ischaemic Encephalopathy early detection by using Image Analysis of MRI Susceptibility Weighted Imaging
Hypoxic-ischaemic encephalopathy (HIE) affects babies' brains during the childbirth due to shortages of oxygen. Using computer vision and machine learning techniques, HIE disease is diagnosed much earlier than two years which is the current normal practice in hospitals. Read more
Advancing Artificial Medical Intelligence through Causal AI, Continual Learning, and Big Healthcare Data
This PhD project is part of a cutting-edge research initiative aimed at developing transformative AI solutions for healthcare by leveraging big data to address key challenges in causal inference, continual learning, and digital twin technology. Read more
The evolution of written symbolic communication: The autonomous development of visual symbolic systems in artificial agents
Supervisory team. Dr Jonathon Hare, Dr Daniela Mihai. Studying written communication protocols emergent between artificial agents (e.g. Read more
Sustainable Generative AI Models
Co-supervisor. Dr Zhiwu Huang. This project aims to pioneer advancements in the efficiency of Generative AI Models (GenAI), focusing on achieving lower latencies and smaller model sizes without compromising performance. Read more
Last chance to apply
Advancing ECG Interpretation with Human-Centred Multi-modal AI (S3.5-COM-CChen)
Cardiovascular diseases (CVDs) are the leading global cause of mortality, accounting for a staggering 32% of all deaths. Despite the immense potential of electrocardiograms (ECGs) for early and equitable diagnosis, physicians demonstrate an alarming average interpretation accuracy of only 54%[1]. Read more
Last chance to apply
Developing the evidence base for the visual presentation of complex data to clinicians (S3.5-SMP-Alix)
Innovations using complicated maths such as artificial intelligence promise much in health care, from better diagnosis to better treatment. Read more
Last chance to apply
Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation (C4-ELE-Mihaylova)
This research project focuses on the development of methods for intelligent wildfire detection and localisation using swarms of unmanned aerial vehicles (UAVs). Read more
Last chance to apply
Image-based modelling of lithium-ion batteries (S3.5-ELE-Drummond)
Lithium-ion batteries are popular forms of electrical energy storage devices, as they combine high energy and power densities with relatively long lifespans and cheap costs. Read more
Last chance to apply
Modelling, simulations and machine learning of the dynamics of human swallowing
The project. A normal swallow is an impressively complex sequence of movements, requiring the coordination of muscles located within the oral cavity, pharynx, larynx and oesophagus. Read more
Last chance to apply
Deep learning for Computational Imaging
The project. The Bristol Visual Information Lab (VI-Lab) and the School of Engineering Mathematics are offering an exciting PhD position for a student passionate about machine learning, mathematical image modelling, and computer vision. Read more
Last chance to apply
AI insights for Alzheimer's disease: unveiling cellular mechanisms for drug discovery
The project. This project is dedicated to advancing our understanding of Alzheimer's disease through the application of AI models, specifically focusing on deep learning techniques. Read more
Last chance to apply
Accelerating Deep Learning Models
The project. As deep learning (DL) models, such as ChatGPT, continue to rise in popularity and integration across industries, the demand for sustainable and efficient AI solutions has become critical. Read more
Last chance to apply
AI-driven early detection of dementia using multimodal data
The project. Dementia is a progressive and debilitating condition affecting millions worldwide, with early detection posing significant challenges. Read more
Image-based Recognition of Unidentified Featured Objects (UFOs)
With the development of deep learning approaches and convolutional neural networks (CNN) in particular, the task of recognising objects from an image has become associated with the ability to train a network using a large number of labelled images for each class of interest [He2016]. Read more
Automatic Deepfakes Detection
The widespread availability of audio-visual content on social media, coupled with advanced deep learning technologies such as Diffusion Models (DM), Generative Adversarial Networks (GAN), have made it easy to generate deepfakes - a term combining “deep learning” and “fake” that facilitate the creation of realistic but false text, images, videos, and audio content. Read more