About 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.

Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion and underpin our long-term strategy for growth. We are Australia's first university and have an outstanding global reputation for academic and research excellence. Across our campuses, we employ over 8,100 academic and non-academic staff who support over 73,000 students.

We are seeking a Postdoctoral Research Associate (level A Step 6) to work on a research project harnessing the power of artificial-intelligence (AI) to improve radiation therapy treatment for patients with cardiac arrhythmias. In this project you will build new targeting technologies based on AI and x-ray imaging that solve the challenges of complex cardiac motion during radiation therapy. The successful candidate will also contribute to the development of advanced non-invasive cardiac mapping approaches, involving multi-signal acquisition, signal processing and inverse modelling. The role is based at the Image X Institute and will be led by Dr Chandrima Sengupta. You will benefit from a strong mentoring environment; lead and be part of high impact research. You will be based at South Eveleigh (formerly the Australian Technology Park) and spend time at our partner hospitals.

Your key responsibilities will be:

Advance the science and clinical practice of imaging, cardiac mapping and targeted radiation therapy
Create, develop and experimentally and clinically implement mechanistic and AI based algorithms
Support the acquisition and analysis of clinical data, and imaging, software and equipment infrastructure
contribute to successful applications for competitive research grants and/ or funding to deliver research impact
develop national and international research collaborations
disseminate research findings.

About you:

An awarded or near completed Ph.D. in a relevant discipline (e.g., Physics, Mathematics, Computer Science, Cardiac Electrophysiology or Engineering)
demonstrated experience or knowledge one or more of the following:
- software and mathematical algorithm development, especially in artificial intelligence
- working with X-ray equipment, linear accelerators, MRI scanners, PET, or other scientific/medical devices
- working with electrophysiology data
- working with a variety of experts in different fields (e.g., radiation oncologists, cardiologists, radiation therapists, physicists, engineers, clinicians etc).
a publication track record that places emphasis on quality publications and/or experience with clinical trial protocol development.
demonstrated scientific creativity and innovation/discovery
outstanding interpersonal and communication skills in a team environment.

Sponsorship / work rights for Australia

Please note: Visa sponsorship is not available for this position. For a continuing position, you must be an Australian or New Zealand citizen or an Australian Permanent Resident. Australian Temporary Residents currently employed at the University of Sydney may be considered for a fixed term contract for the length of their visa, depending on the requirements of the hiring area and the reasons for the position.

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. As this position involves work at an NSW Health site, it is a regulatory requirement to complete compulsory employment checks prior to starting in this position. For more information and instructions, please visit: NSW Health employment requirements.

EEO statement

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through 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 LGBTIQ. We welcome applications from candidates from all backgrounds.

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.

To submit an application for this role please provide the following information:

A cover letter which includes a written response to selection criteria addressing your ability to meet the requirements outlined above within the context of the key responsibilities of the role (maximum 1000 words).
Your current CV or resume, including two referees.

Please ensure your cover letter is clear, concise, addressing the selection criteria and states the type of employment and level in which you are applying.

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Andria Bingham Recruitment Operations by email to a***@***********.

AI Jobs in Eveleigh

Research Fellow in Medical Imaging