This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its limitations. Read more
The SFI Centre for Research Training in Machine Learning addresses the urgent industry demand for Machine Learning talent. The centre brings together leaders in their field to supervise and train students. Read more
The SFI Centre for Research Training in Machine Learning addresses the urgent industry demand for Machine Learning talent. The centre brings together leaders in their field to supervise and train students. Read more
The SFI Centre for Research Training in Machine Learning addresses the urgent industry demand for Machine Learning talent. The centre brings together leaders in their field to supervise and train students. Read more
Introduction. Survival analysis is a subfield of statistics that deals with predicting the duration of time until a specific event occurs, such as the failure of a machine, occurrence of a disease, or death of a patient. Read more
The proposed PhD project aims to investigate and address the issue of fairness in machine learning systems. As machine learning algorithms are increasingly being used in various domains, from healthcare and criminal justice to employment and education, concerns about bias in these systems have gained prominence. Read more
There have been significant recent advances in the effectiveness of machine intelligence systems based upon neural networks, deep learning, and machine learning techniques. Read more
Project Code. EPSRC_2023_13. Project Introduction. In the late 1668 Sir Isaac Newton built one of the earliest known functional reflecting telescopes out of metal alloy, the diameter of the primary mirror is about 33 mm. Read more
Mining produces tailings which are rejects or resultant waste stream after performing the process of separating valuable fraction from the uneconomic fraction of an ore. Read more
Project ID: SST_2_3. With its current growth rate, Quantum Computing is likely to become a major paradigm over the next decade, particularly in the field of computational intelligence. Read more
Project Code. EPSRC_2023_21. Project Introduction. The physics behaviour used in games engines provides an efficient method of coding for engineering applications. Read more
A PhD studentship using machine learning to accelerate the discovery of energy materials is available in the research group of Dr Alex Ganose based in the Department of Chemistry, Imperial College London (. Read more
Machine learning and its applications have grown explosively in the last few years. However, the success of machine learning is still poorly understood from a theoretical point of view. Read more
One fully funded PhD position to work with Dr Henry Gouk in the School of Informatics at the University of Edinburgh, on a projected titled “Machine Learning with Context”. Read more
Machine learning is an approach that is useful when a practical optimisation problem is difficult to describe precisely. This approach has found multiple applications. Read more
*Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw.
Create your myFindAPhD account to add this PhD to your shortlist to register for this event to receive updates on upcoming events
Due to your Facebook privacy settings, we were unable to create your account at this time. Please select another method to sign up.
We were unable to log you in with your Google account at this time. If you have third-party cookies blocked, please enable them, refresh, and try again.
We were unable to log you in with your Google account at this time. If you have third-party cookies blocked, please enable them, refresh, and try again.
Continue with Facebook
Looking to list your PhD opportunities? Log in here.