Personalised stent intervention through patient-specific modelling

This PhD is an exciting opportunity for a highly motivated candidate who wants to see their research translated into clinical practice and directly benefit patients. The project aims to develop personalised models of patients' pre- and post-Percutaneous Coronary Intervention (PCI) with stents.

During the course of this PhD, the successful candidate will attain the required ethical approval and collect patient-specific imaging data before running a range of computational and experimental tests.

The right candidate will work closely with a multi-disciplinary team across medicine, computer sciences and mechanical engineering. Relevant previous research experience is desired. The right candidate must be an experienced ANSYS fluid dynamic user or similar and have a good fluid dynamic understanding in the biomedical engineering context.

Strong problem-solving skills, motivation and good communication skills are required. An interest in and willingness to learn about cardiovascular disease is critical. Previous experience in publishing is highly desirable.

You will be part of an international, dynamic, and thriving team based in Sydney, Australia, which values teamwork, inclusivity, and excellence. Weekly group and individual meetings will allow you to excel in your work. For more details, please see www.svmgroup.org. 

Female applicants are highly encouraged.

Scholarship

• $15,000 Top Up Scholarship for a suitable applicant who is awarded a UNSW Research Training Program Scholarship, Research Training Program International Scholarship, University Postgraduate Award or University International Postgraduate Award.  

Eligibility

• Domestic and International applicants
• PhD only
• Must be awarded a UNSW Research Training Program Scholarship, Research Training Program International Scholarship, University Postgraduate Award or University International Postgraduate Award
• The right candidate will work closely with a multi-disciplinary team across medicine, computer sciences and mechanical engineering. Relevant previous research experience is desired.
• The right candidate must be an experienced ANSYS fluid dynamic user or similar and have a good fluid dynamic understanding in the biomedical engineering context.

How to apply

Please apply with your CV stating your final GPA or WAM for all degrees, transcripts for both under- and postgraduate degrees (the latter if applicable), references and a cover letter addressing all the selecting criteria to Dr Susann Beier at s.beier@unsw.edu.au. 

If you are shortlisted, you will need to submit a formal application to UNSW for a UNSW research scholarship.