Full time, 12 month fixed term

Contribute to the use of AI in medical imaging

Base Salary $117,936- $125,896 (Academic level A) + 17% superannuation 

About the opportunity

We have an opportunity for a Postdoctoral Research Associate (Level A) in Clinical Imaging to join a successful and supportive research team to work on a research project harnessing the power of artificial-intelligence (AI) to improve radiation therapy treatment for cancer patients. The Postdoctoral Research Associate Clinical Imaging will build and clinically translate new cancer targeting technologies based on Artificial Intelligence and x-ray imaging that solve the challenges of complex patient motion during radiation therapy.

Based at South Eveleigh, the Image X Institute’s research portfolio spans development of new treatment ideas, clinical trials, preclinical imaging, device development, radiation therapy physics, and computational physics. We engage with industry, hospitals, international collaborators and universities to forge relationships that help take our projects from lab bench to patient bedside. Enjoy working in a supportive environment with access to unique medical data sets and a chance to make practice changing impacts in real time image guidance for cancer radiotherapy.

Your key responsibilities will be to:

• advance the algorithms of imaging and targeted radiation therapy
• create, develop and experimentally and clinically implement AI based algorithms
• support the acquisition and analysis of clinical data, and imaging, software and equipment infrastructure
• contribute to scientific publications, research dissemination and the development of competitive funding proposals
• undertake clinical site visits to support technology installation, testing and implementation, as required.

About you

• completion or nearing completion of PhD in physics, computer science, applied mathematics or biomedical engineering or relevant discipline
• demonstrated track record of publishing research findings in peer-reviewed scientific journals
• knowledge of software and mathematical algorithm development, especially in artificial intelligence
• some experience supporting the clinical integration, implementation and translation of research technologies into clinical practice.
• some experience collaborating with multidisciplinary teams, including radiation oncologists, medical physicists, engineers and other clinical professionals.

Sponsorship / work rights for Australia

You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. 

Pre-employment checks

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 step, including the termination of your employment.

EEO statement 

At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. 

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. 

How to apply

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 employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard.  Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Lena Germinarios, Recruitment Operations by email to [email protected].

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The University reserves the right not to proceed with any appointment.

Click to view the Position Description for this role.

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