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.
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.
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.
Direct Simulation Monte Carlo is a ubiquitous simulation method for low-density flows. It involves statistical simulation of representative populations of molecules in rarefied gas mixtures. The technique can simulate many physical processes very accurately at much less computational expense than direct molecular dynamic modelling.
The aim of this project is to synthesize building blocks of a Probabilistic Systems Engineering Model and its validation. The model would be based on probabilistic success in execution of systems engineering task and resulting rework.
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.
Scholarships of $35K AUD for domestic and international students are available for Masters and PhD by research.
Risk management is one of the most important skills that pilots are expected to acquire to ensure the safe and successful management of flight. The main aim of this project is to develop a new approach to pilots’ training which emphasizes the integration of new material derived through direct experience into pilots’ behaviour and to test the utility of this new training method for improving novice pilots’ risk-management behaviour (i.e., decision-making). Crucial to this is understanding the cognitive mechanisms that facilitates skill development.
Metasurfaces are a promising new area of science and technology for the manipulation of electromagnetic waves. They have the potential to replace bulky devices such as lenses with a thin layer of patterned elements, to enable a wave to undergo focussing, steering, polarisation conversation and more general spatial/temporal filtering.