Post Doctoral Fellow

The Postdoctoral Research Fellow will lead research into quantitative medical image analysis, focusing on the development, standardisation, and clinical translation of imaging biomarkers through advanced artificial intelligence methodologies. The fellow will develop trustworthy quantitative imaging methods for precision medicine, contribute to local radiomics platform enhancements, and drive clinical collaborations, particularly with SEHA Fertility Care and international partners. The role will support the entire research process, from algorithm development to validation and deployment, and will play a key role in disseminating findings and supporting postgraduate training.Position Requirements:Drive research and development within the local radiomics platform, integrating advanced quantitative imaging analysis and AI for multimodal medical images.Develop and validate imaging biomarkers for fertility and women's health, in partnership with clinical collaboratorsLead calibration and validation activities for quantitative CT imaging, including phantom development and harmonization strategies.Work collaboratively with cross-disciplinary teams, including academic, clinical, and industry partners.Support the training and supervision of PhD students and research assistants engaged on the project.Disseminate research outcomes via publications, conferences, and stakeholder engagement.Ensure compliance with data management, reproducibility, and ethical standards.Candidate CriteriaPhD in Biomedical Engineering, Medical Physics, Computer Science, or a closely related discipline.Demonstrated expertise in quantitative medical image analysis and artificial intelligence.Experience in algorithm development, radiomics, and imaging biomarker research.Track record of peer-reviewed publications in relevant areas.Experience of undertaking assigned research tasks and starting to manage own workloadA willingness to contribute to a collaborative and supportive team cultureExperience with radiomics and quantitative image imaging software.Familiarity with IBSI standards and harmonization workflows.Collaborations with clinical or industrial partners.Experience in mentoring or supervising students.Research experience or academic training at a QS Top 200 university.