Satellites provide data and services that are essential to modern society. Our civilian, commercial, and defence capability rely on continued and assured access to space-based infrastructure. The space environment, however, is harsh and represents a significant threat to the operation of such satellites. Collision with space debris, damage to spacecraft components through electrostatic discharge, and communication disruption from atmospheric anomalies are daily threats facing satellite systems and their operators.
PhD Projects SEIT
Scholarships of $35,000 (AUD) are available for PhD students who have achieved Honours 1/High Distinction in their UG program and/or have completed a Masters by Research.
The rise of the globalization of manufacturing industries has led to enhanced, decentralized or multi-factory supply chains, which are of considerable interest to both researchers and practitioners. Production scheduling and distribution decisions in decentralized supply chains have become more possible but is very complex—only a few research studies have addressed this problem so far.
This project aims at identifying current state of the art human systems integration techniques and creation of framework for an overarching or generalized human system integration framework that can be substantiated for different kinds of systems. Human systems integration practices are very domain specific for example healthcare, defence, aerospace etc.
Quantum information technology exploits quantum phenomena to create new devices in computation, communication, and metrology. Quantum state of light (or a photon) is a promising information career because of the relative easiness of creations and manipulations of photons, and direct applications to communication.
This project involves the use of laser-based methods to investigate time-dependent population distributions in laser-induced plasmas. Such plasmas have applications in fuel ignition studies, sterilisation and chemical treatment, but their fundamental behaviour is still very poorly understood, even in simple gases such as Argon.
The project is concerned with the development of a modelling approach to the simulation of the dynamic response of thin-walled composite structural components subjected to crushing loads. The progressive damage model should be developed and implemented into a FE code using a material characterisation process that is based on the material’s experimentally recorded behaviour.
Interconnected control systems are widespread in engineering, defence and communications applications. Examples of such systems include a team of unmanned aerial vehicles pursuing a set of coordinated objectives, a platoon of vehicles on the highway, an array of actuated micro-electromechanical systems (MEMS), to name a few.
Nerve function can be impaired by localised compression of the nerve fibres due to injury or proximal tumour growth. This project will continue our work to develop and implement numerical and experimental techniques to predict the causes and extent of this damage. In particular it will use nonlinear, multi-scale, finite element models to investigate a range of nerve dysfunctions including bitemporal hemianopia and investigate experimental in-vitro techniques to validate these simulations.
This project aims to develop effective estimation and control methods using machine learning for quantum systems. Benchmarking and controlling quantum systems have been an important task in next generation technology. However, efficient methods for the estimation and control of complex quantum systems are lacking.