Organisation/Company: UNIVERSITY OF SYDNEY Research Field: Computer science, Sociology, Ethics in health sciences
Researcher Profile: Recognised Researcher (R2), Established Researcher (R3)
Country: Australia
Application Deadline: 15 Jan 2025 - 00:00 (UTC)
Type of Contract: Other
Job Status: Full-time
Is the job funded through the EU Research Framework Programme? Not funded by an EU programme
Is the Job related to a staff position within a Research Infrastructure? No
Offer DescriptionContribute to high impact scientific and clinical projects in the rapidly growing research field of AI in medical imaging and radiation therapyLocated at South Eveleigh in the Faculty of Medicine and Health and working in collaboration with clinical partnersFull-time, 3 years fixed term with a base salary of $105,301 - $122,830 and 17% contribution to superannuationAbout the opportunity The Image X Institute is a centre for innovation in radiation therapy and medical imaging technologies. We create, share, and apply scientific knowledge to improve health by building new technology for cancer imaging and targeted radiation therapy. We engage with industry, hospitals, international collaborators, and universities to forge relationships that help take our projects from lab bench to patient bedside. Image X is a part of the Faculty of Medicine and Health at the University of Sydney.
We are seeking a Postdoctoral Research Associate (level A/B) to work on a research project harnessing the power of artificial intelligence (AI) to improve radiation therapy treatment for cancer patients.
Your key responsibilities will be to: Advance the science and clinical practice of cancer imaging and targeted radiation therapyCreate, develop, experimentally and clinically implement mechanistic and AI-based algorithmsSupport the acquisition and analysis of clinical data, and an imaging, software, and equipment infrastructureAbout you An awarded or near completed Ph.D. in a relevant discipline (e.g., Medical Physics, Physics, Mathematics, Computer Science or Engineering)Demonstrated experience or knowledge in one or more of the following:Software and mathematical algorithm development, especially in artificial intelligenceWorking with X-ray equipment, linear accelerators, MRI scanners, PET, or other scientific/medical devicesWorking with a variety of experts in different fields (e.g., radiation oncologists, radiation therapists, physicists, engineers, clinicians, etc.)A publication track record that emphasizes quality publications and/or experience with clinical trial protocol development.Demonstrated scientific creativity and innovation/discoveryOutstanding interpersonal and communication skills in a team environment.To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students, and visitors coming to campus.
Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary steps, including the termination of your employment.
Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.
For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Rachel Yazigi, Recruitment Operations by email to .
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