Postdoctoral Position in Computational Pathology and Imaging AI at University of Oxford

A postdoctoral position is available in computational pathology, focusing on the application of imaging AI methodologies within the EU Bigpicture project. The successful candidate will work in collaboration with the research group led by Professor Jens Rittscher at the Institute of Biomedical Engineering and the Big Data Institute, University of Oxford. This opportunity is ideal for researchers interested in translating advanced imaging AI and computational pathology techniques to real-world biomedical and clinical applications. The research group is based at the Oxford Big Data Institute and is involved in developing new analysis algorithms and computational platforms to enhance the mechanistic understanding of cancer and patient care through quantitative image data analysis. The group collaborates with international partners and is engaged in projects that bridge biomedical engineering, computer science, and medical science, with a strong emphasis on AI-driven image analysis and big data approaches. Applicants should hold a PhD in biomedical engineering, computer science, medical science, or a related discipline. Experience in computational pathology, imaging AI, or quantitative image analysis is highly desirable. Strong programming and analytical skills are expected, and candidates should demonstrate an interest in translating imaging AI methodologies to application settings. The position is a postdoctoral research staff role, likely fully funded, though specific salary or stipend details are not provided in the announcement. The application deadline is 12th February 2026. Interested candidates should apply via the provided job opening link, ensuring their application highlights relevant experience and research interests in computational pathology and imaging AI. For further information, Professor Jens Rittscher can be contacted at [email protected]. The University of Oxford is a world-leading institution in engineering and biomedical research, offering an excellent environment for interdisciplinary research and professional development.