CSIRO Industry PhD Scholarship in Synthetic CT via Generative AI

This CSIRO Industry PhD Scholarship provides comprehensive financial support to a PhD student undertaking research in Synthetic CT via Generative AI for MR-guided Radiotherapy Planning in the Abdomen and Lungs. Funded by CSIRO, industry partner Siemens Healthineers, and the Faculty of Engineering at the University of Sydney, this scholarship is designed to support cutting-edge research at the intersection of medical imaging, artificial intelligence, and radiotherapy planning. The scholarship provides a total annual stipend of $47,020 (comprising $35,020 primary stipend indexed at 3% per annum plus $12,000 supplementary stipend) for up to 4 years. Recipients also receive access to a Project Expenses and Development package of $13,000 per annum, a LaunchCamp payment of $1,500, and coverage of the Student Services and Amenities Fee. The scholarship is specifically supervised by Associate Professor Xiuying Wang from the Faculty of Engineering. As part of the CSIRO Industry PhD program, scholarship recipients must undertake an industry engagement component with Siemens Healthineers for at least 3 months (60 full-time equivalent days). This component must be completed within 18 months of course commencement and involves engagement in research and development activities related to the student's area of research. Applicants must be domestic students with at least an Honours degree (First Class or Second Class Upper) or a Master's degree with substantial research component. Preference is given to those with prior knowledge in medical imaging, radiotherapy, software engineering skills, and experience with Linux and HPC systems. The scholarship supports full-time PhD studies only, and recipients must remain enrolled at the University of Sydney. The award includes standard leave provisions (20 days recreation leave and 10 days sick leave annually) and allows for up to 12 months of research overseas after the first six months of study. Recipients must complete a Student Deed Poll covering Intellectual Property developed under the project and enter into a CSIRO Industry PhD Collaboration Agreement as a precondition of participation.