Description du poste
Develop multimodal AI that predicts how head and neck cancers will behave, using real clinical cohorts and working alongside the pathologists who will use it. Join the NEOPATH research group at the University of Sheffield as a Postdoctoral Research Associate in Computational Pathology and Multimodal AI. Led by Professor Ali Khurram, the group develops and validates AI methods for pathology, and its tools have already been tested across multiple centres. You will build deep learning models that combine digitised histology with radiology, multiplex imaging, spatial transcriptomics and clinical data, with the aim of predicting cancer risk, recurrence and response to treatment. The group has well characterised clinical cohorts, pathologist annotation and established collaborations across the UK, Europe and USA. We also work closely with patient groups and charities, so the questions we ask stay relevant to patients. We are looking for someone with a PhD in a computational, quantitative or pathology related field, strong Python and deep learning skills, and experience of image analysis. A background in histopathology would be a clear advantage. The role carries real responsibility within the group, from coordinating team meetings and working with academic, clinical and patient partners to contributing to grant applications and presenting our work, so organisational and communication skills matter as much as technical ability. At the University of Sheffield, you’ll be part of a community that values innovation, diversity, and wellbeing. We offer an excellent benefits package, including generous annual leave, flexible working, a leading pension scheme, and a wide range of development and wellbeing support. Learn more about our benefits: sheffield.ac.uk/jobs/benefits . We welcome applicants from all backgrounds and experiences. Our diverse teams deliver greater impact through research, teaching, and student experience and we’re excited to hear what you can bring to the team.