Our industry partners are developing software for automation of Hydrogen Deuterium Mass Spectrometry, which can connect structure, behaviour and function of proteins, for understanding diseases and developing drug and vaccine treatments.
Modern AI techniques can provide powerful models for classifying and understanding protein structures, but expert supervision is required in the development, training and deployment of these models into automation scenarios.
We seek to develop a human-centred AI solution, a suite of visual tools for integrating and understanding various AI techniques in application to these protein structural characterisation scenarios. We will explore the applicability of advanced immersive visualisation and visual analytics using Augmented and Virtual Reality environments in visualising and interacting with protein structures.
Required knowledge
Strong computer-science and programming background with fundamentals in machine learning and data science. Experience in building visualisations and interactive immersive environments (using game engines like Unity3D) is desirable.
Stipend funding is available only for domestic applicants (Australian and New Zealand citizens and permanent residents).
