Building Nano-X: a smaller and smarter cancer treatment machine
Summary
Nano-X is a smaller and smarter machine that will transform cancer treatment for millions of patients around the world every year. PhD positions are now available in advanced biomedical modelling, algorithmic development and real-time image processing.
Supervisor(s)
Research Location
Sydney Medical School - Generic
Program Type
PHD
Synopsis
Aim: To develop the Nano-X image-guidance system by implementing volumetric imaging accounting for organ deformation using anatomical and biomechanical information.
Method: The PhD project is to build, and clinically implement, an accurate patient anatomical deformation model. The biomechanical model will be constructed using a finite element analysis (FEA) modeling based on the patient's existing medical diagnostic images.
Outcome: Full clinical implementation of this project will see the emergence of a brand new class of cancer treatments machines that are smaller and smarter than existing alternatives. The PhD candidate will have ample opportunities to connect with industry, hospitals and other research institutes worldwide, as well as encouraged to patent and commercialise their own inventions.
Additional Information
• Eligibility for enrolment in a PhD at the University.
• A background in Physics, Engineering or a related discipline
• Programming Skills are essential
• Top Up Scholarship(s) / stipends will be offered to excellent candidates
Location: The research group opportunity is based at Australian Technology Park and the Nano-X prototype is at Nelune Comprehensice Cancer Centre
Want to find out more?
Contact us to find out what’s involved in applying for a PhD. Domestic students and International students
Contact Research Expert to find out more about participating in this opportunity.
Browse for other opportunities within the Sydney Medical School - Generic .
Keywords
Radiotherapy, Radiation oncology, Medical physics, Imaging, Image X Institute
Opportunity ID
The opportunity ID for this research opportunity is: 2077
Other opportunities with Professor Paul Keall