PhD in Unifying Distributional and Distribution-Free Uncertainty Quantification for Trustworthy Medical Decisions University of Southampton in United Kingdom

PhD opportunity at the University of Southampton in Unifying distributional and distribution-free uncertainty quantification for trustworthy medical decisions . This project sits at the intersection of machine learning , uncertainty quantification , statistics , and medical science . The research aims to combine distributional approaches (such as hierarchical models) with distribution-free approaches (such as conformal prediction) to better understand and control uncertainty in high-stakes clini...

Postgraduate research project at the University of Southampton in the School of Electronics and Computer Science : Reliable forecasts of multiple sclerosis progression using conformal prediction . This is a PhD opportunity focused on developing machine learning methods for forecasting disability progression in multiple sclerosis with reliable, guaranteed uncertainty. The project uses conformal prediction and aims to create methods whose guarantees hold for clinically meaningful groups of patient...

PhD opportunity at the University of Southampton in artificial intelligence, machine learning, computer vision, and medical image analysis . The project, Artificial intelligence techniques for illness detection by using MRI , focuses on developing AI methods to detect hypoxic-ischaemic encephalopathy (HIE) in newborn babies by analysing MRI / Susceptibility Weighted Images (SWIs) . The aim is to identify brain injury earlier than the current clinical practice and to help clinicians target early ...

PhD opportunity at the University of Cambridge in the Department of Clinical Neurosciences on Mitochondrial Genetic Determinants of Multiple Sclerosis . This project investigates how mitochondrial genetic variants influence the outcome of multiple sclerosis (MS) . The research builds on prior genome-wide association studies (GWAS) that have identified more than 200 autosomal variants associated with MS, while extending the analysis to the mitochondrial genome. Using a dedicated mitochondrial var...

Viacheslav Borovitskiy, Assistant Professor (Machine Learning) at the University of Edinburgh , is recruiting PhD students for 2027 in the GLUEd group: Geometric Learning & Uncertainty in Edinburgh . The group works on geometric learning , uncertainty quantification , and the intersection of these areas. This is a strong fit for students interested in machine learning, geometric deep learning, and mathematically grounded approaches to uncertainty. Funding routes mentioned include the ELLIS PhD P...