Advanced computational fluid dynamic (CFD) technology to predict cerebrovascular aneurysm haemorrhage

Advanced computational fluid dynamic (CFD) technology to predict cerebrovascular aneurysm haemorrhage

Programs Available

PhD 

Reference Number

20191091 

Opening Date

25 Mar 2019 12am AEDT 

Closing Date

31 May 2019 12am AEST 

Scholarship available to

Domestic 

Description

We focus on development a realistic FSI simulation model that incorporates accurate individualised vascular wall thickness and elastic mechanical properties. In order to validate the accuracy of the newly developed FSI model by applying four-dimensional computed tomography (4D-CT) image, and particle image velocimetry (PIV) to patient-specific samples and models. We currently seek PhD candidates with strong backgrounds in analysis of fluid flows and numerical methods. Qualifications may be in applicable branches of engineering (chemical/mechanical/aerospace/civil/environmental) or physics.

Candidates will have a Masters degree, or equivalent, in relevant disciplines, viz. engineering, mathematics, or bioengineering. The successful candidate will work with recognized specialist researchers as well as with a group of highly motivated, first class research students in the areas of clinical image transformation, cerebral aneurysm segmentation, computational hemodynamic flow simulation, which include Fluid Structure Interaction (FSI) simulation, blood flow simulation, and in-vitro and in-vivo validation.

Candidates must have a strong background in Computational Fluid Dynamics (CFD) or other numeric simulation knowledge of programming and application capability. The candidate will be suggested to graduate or trained under international renown research group or university. The successful candidate will be responsible for conducting numerical simulations by using commercial CFD software and self developing codes will be welcomed. Prior experience in C++, FORTRAN and basic programming knowledge will be an advantage. Good communication skills are essential as the candidate is expected to produce scientific reports and to communicate research results of publishable quality in high impact journals in the field. The candidate knowledge is required strong and diversification in the areas of mechanical engineering, computer engineering, IT, medical image, as well as vascular anatomy etc. The candidate must be graduated or trained under international renown research group or university. The project will work with international organizations, the candidate will need to collaborate with international research partners.

Availability

This scholarship is available to eligible domestic candidates to undertake a direct entry 3-year PhD program.

To be eligible for a scholarship, applicants are expected to have a record of excellent academic performance and preferably, additional relevant research experience and/or peer-reviewed research activity in line with the University’s scholarship rating guidelines. Refer to the Rating Scholarship Applicants section for more information about these guidelines.

International candidates may be considered for this position.

Scholarship Components

The scholarship is comprised of a Tuition Fee Offset and a Living Allowance Stipend. The value and tenure of the scholarship is a “MQRES” full-time stipend rate of $27,596 per annum (in 2019 tax exempt for up to 3 years - indexed annually).

Contact Details

Name: Professor Itsu Sen
Email: Itsu.sen@mq.edu.au
Phone: 02 9850 2749

How to Apply

For information on how to apply, select the "How to Apply" button below.

Please note, at the start of your application you should select the scholarship type of "HDR Project/Supervisor Specific Scholarship".

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