Mathematical Modelling & Computation for Innovative Dialysis Technology (KTP Associate)

Main Duties and Responsibilities

1. Reduce a complex fluid-mechanical solute transport problem to a tractable mathematical model that can be benchmarked against Quanta’s experimental data.
2. Perform numerical simulations of the model to optimise Quanta’s innovative treatment modalities.
3. Facilitate effective three-way knowledge transfer between the business partner, Associate and knowledge base, using Quanta’s proprietary technology, practical expertise and experimental data to drive research innovation and embedding novel modelling practices directly into the business.
4. Collaborate closely with Quanta’s experimental and software teams to transform the optimised treatment modalities into a ready-for-market technology.
5. Integrate fundamental modelling practices into Quanta’s standard processes, procedures and methodologies, ultimately leading the foundation for a new modelling group within Quanta.
6. Undertake experiments to (i) ensure the software sequences operate as intended to match those developed for numerical simulation and (ii) take clearance measurements using optical spectroscopy to further understand the mechanism of clearance within the dialyser.
7. Work with other members of the Quanta engineering team to establish a broader numerical modelling capability with the team.
8. Disseminate research outputs via peer-reviewed publications in leading scientific journals and presentations at major international and national conferences.

To develop a suite of mathematical models that will allow the optimisation of innovative flow patterns developed within artificial kidneys known as ‘dialysers’ and significantly speed time to market. Novel flow patterns will enhance the efficiency of dialysers to remove larger molecules with reduced machine complexity thereby improving patient outcomes.