Sara Atito

Fully funded PhD opportunity at the University of Surrey in medical multimodal language models and alignment methods for trustworthy healthcare AI. The project focuses on developing methods that improve alignment between heterogeneous medical modalities and language outputs, aiming to reduce hallucinations and produce grounded, reliable reports. Research topics include medical imaging , radiology , genomics/multiomics , clinical time-series , multimodal foundation models , self-supervised learning , statistical genetics , and medical AI . You will join an interdisciplinary supervisory environment with collaborations across AI and biosciences. The post is described as fully funded for 3.5 years , covering tuition plus stipend . Eligibility highlights: applicants should have a strong background in ML/AI . The post is open to UK citizens only . Intake is expected in January or April 2027 . To apply, contact Sara Atito by email and share your background and interest in trustworthy multimodal medical AI.