Data Analysis of a Non-Newtonian Fluid in a Complex Geometry
Location: Bayswater, Melbourne, VIC
Duration: 5 months
Proposed start date: May 2019
Haemograph is a biomedical start-up company based in Victoria. It is developing a novel device to measure properties of coagulating blood.
Within the device there are some innovative designs to understand the non-Newtonian properties of the blood. The aim of this project is to develop a data analysis system to transform the raw data into a rheological characterisation, exploiting the capabilities of the device.
This project is appropriate for a mathematician or computer scientist, or an engineer with strong mathematical skills. Understanding of non-Newtonian fluids is desirable.
Experience with, or understanding of blood properties is not expected or required, and the intern will not be using blood as an experimental material.
Research to be Conducted
The research to be conducted includes
- Designing an analysis system based on Newtonian fluids
- Extending the analysis to non-Newtonian fluids
- Extending the analysis to provide transient characterisations
- Coding and automating the data analysis system.
We are looking for a PhD student with the following skills:
- Excellent mathematical or signal processing skills
- Excellent record-keeping skills
- Ability to work without the need for close supervision
- Ability to program in Python
- Understanding of fluid flow or rheology
Subject to negotiation and the intern’s progress the expected and desired outcomes include:
- An analytical procedure for a Newtonian fluid in our geometry
- An extension to non-Newtonian fluids and transient data
- Development of code to automate and perform the analysis
- Demonstration on appropriate sample data (or possibly real data)
The intern will receive $3,000 per month of the internship, usually in the form of stipend payments.
It is expected that the intern will primarily undertake this research project during regular business hours, spending at least 20% of their time on-site with the industry partner. The intern will be expected to maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.
The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.
20 February 2019
APR – 0817