3.5-Year PhD Studentship in Artificial Intelligence for Eliciting Patient Histories University College London in United Kingdom

PhD opportunity in quantitative cardiovascular imaging and artificial intelligence at the University of Cambridge, within Team Dewey’s research environment. The opportunity is aimed at research in quantitative cardiovascular imaging, cardiac imaging and AI, with a strong focus on interdisciplinary work and better patient outcomes. The project context is connected to a doctoral training centre funded by the British Heart Foundation and involving the University of Cambridge, the University of Edin...

Fully funded PhD opportunity at the University of Sheffield in Neurosymbolic World Models for Robotic Manipulation , starting in October 2027 . This multidisciplinary project spans the School of Computer Science , the School of Electrical and Electronic Engineering , the Centre for Machine Intelligence , Sheffield NLP , and Sheffield Robotics . The topic sits at the intersection of Computer Science , Robotics , Electrical Engineering , and Artificial Intelligence , with a strong focus on neurosy...

Mihaela van der Schaar is opening applications for another year of fully funded PhD positions in Machine Learning in her group, with a 2027 start . The opportunity is aimed at outstanding students who want to build AI that changes the world for the better. The post is from the van der Schaar Lab at the University of Cambridge , led by Mihaela van der Schaar , whose research spans machine learning , artificial intelligence , and medicine . This makes the opening especially relevant for applicants...

Fully funded PhD opportunity at Ulster University in Secure & Trustworthy AI-Generated Software (SAFE-GEN). This project sits at the intersection of Computer Science , Software Engineering , Cybersecurity , Artificial Intelligence , Machine Learning , and Explainable AI (XAI) . The research investigates vulnerabilities introduced by LLM coding assistants and aims to develop intelligent, language-agnostic methods to detect, localise, and explain security weaknesses in both human-written and AI-ge...

This fully funded PhD investigates how artificial intelligence can support fetal growth monitoring and improve pregnancy care. The project will use longitudinal ultrasound data to identify high-risk fetal growth trajectories, with the aim of enabling more informed monitoring and earlier recognition of pregnancies that may require additional clinical attention. Based in the Faculty of Health and Life Sciences at the University of Liverpool, the project forms part of the MRC North West Doctoral Pr...