Current research in the TIA centre is focussed on the application of image analysis and machine learning algorithms in order to further our understanding of the biology and entangled histological patterns of complex diseases such as cancer. We strive to be a hub of research excellence in the area of computational pathology and associated research areas, in order to tackle grand challenges in cancer diagnostics and treatment with a multi-disciplinary team of researchers and to make positive impact on the lives of cancer patients. Our research thrives on a growing network of collaborations with the academia, NHS hospitals and industry.

We are always looking for highly self-motivated PhD applicants with strong academic background in computing, electrical engineering, mathematics, or statistics preferably at the MS level, competency in modern machine learning and analytical methods and fluent programming skills in Python and R. Since most of the research in the TIA Centre involves working with clinicians and biologists as well as other members of the Centre, applicants should be comfortable working in a team, possess good communication skills, and be open to learning about the required knowledge in the related disciplines (medicine or biology).