Postdoctoral Research Assistant in Biomedical Image Analysis

This postdoctoral position at the University of Oxford’s Department of Engineering Science and Institute of Biomedical Engineering offers an opportunity to work at the intersection of machine learning and biomedical research. The role, funded by the Wellcome Trust, focuses on applying and advancing state-of-the-art computer vision and deep learning techniques to analyze multi-omic data and detect subtle disease-related changes in tissue architecture. The successful candidate will collaborate closely with software engineers and data platform developers to translate research prototypes into practical, robust tools for clinical and research use. The position emphasizes bridging research and implementation, ensuring reproducibility and usability of developed tools for broader adoption.

• Develop and apply advanced machine learning methods to integrate and analyze multi-omic data for identifying disease phenotypes.
• Design and implement novel algorithms for biomedical image segmentation, classification, and multi-modal processing using state-of-the-art techniques.
• Collaborate with software engineers and data platform developers to translate research prototypes into practical, robust, and reusable tools.
• Ensure the robustness, reproducibility, and usability of developed tools for wider adoption in clinical and research settings.
• Conduct independent academic research and manage associated activities, including publishing findings and presenting results.
• Bridge the gap between research and implementation by integrating developed tools into existing data platforms and workflows.