About the Project
During the course of this PhD the successful candidate will undertake a range of computational and experimental testing to develop a large scale map, or atlas, which classifies the heart arteries directly relevant for personalised heart disease treatment. The project is highly interdisciplinary, and will involve working with (and extending) a suite of existing software and computational models based on clinical imaging data.
Responsibilities evolve around medical image segmentation and processing of dicom images using VMTK and similar tools, use of machine learning algorithms, bash programming and meshing programs to run computational simulations and data post-processing in python, MATLAB and R on a supercomputing cluster.
The candidate should have a strong fluid mechanics and mechanical engineering background and ideally have an understanding of vascular mechanics. Strong problem-solving skills are required and the interest in and willingness to learn about cardiovascular physiology is important. Previous research experience is highly desired.
You will be part of an international young, dynamic and thriving team across New Zealand and Australia, which values collaboration, inclusivity and excellence. Weekly group and individual meetings will allow you to excel in your work. For more details see www.svmgroup.org and www.coronaryatlas.org.
- Ideally be based in Australia already
- A GPA higher than 3.6/4.0, 90 (for international students), or WAM >80 for Australian residents
- Graduated from a top 200 global University for their under- and postgraduate study (QS, times or shanghai ranking)
- Ideally have at least one ISI journal paper in the Q1 tier
- Meet the UNSW admission requirements including English language
Students with a home country sponsored scholarship are welcome.
Please apply with your CV, references and cover letter addressing all the selecting criteria to email@example.com.
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