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.

Understanding the aerodynamic interaction between Low Earth Orbit (LEO) objects and the space environment is essential for enabling precise orbit determination and prediction capabilities necessary for future space traffic management systems. Recent research at UNSW Canberra has shown that the charged aerodynamic interaction between Low Earth Orbit (LEO) objects and the ionosphere (i.e. ionospheric aerodynamics) is neither negligible nor well understood.


Variations in solar radiation and solar wind result in variations in the coupled magnetosphere-ionosphere-thermosphere (MIT) system which are referred to as space weather. Changes to this system have several important effects on space and ground based technology; including effects on satellite electronics, satellite orbits, radio signal propagation, and electricity grids. The ability to forecast the effects of space weather events on the MIT system is therefore of great importance to human society.

Investigation of Methods and Methodologies for Systems Engineering of Non-functional Requirements

Systems Engineering methodology applies aptly to functional design of systems. However, for non-functional requirements, the current methodology does not have a lot to offer and there is a lack of concrete methodologies for non-functional systems engineering. Specific modularization of systems elements is a powerful tool for the design of the non-functional requirements into the systems.

Machine learning for quantum estimation and control

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.

Deep Learning and Neural Networks for Multi-modal Human-Swarm Data Fusion

A human-swarm interaction generates very large real-time data streams including image, voice, EEG, human physiological data, task and swarm data, and interaction data. In our paper below, we took steps towards fusing two sources of data, images and timeseries/signal sensorial data. This project will need to systematically develop deep learning and neural network models and architectures to design general deep networks for multi-modal data fusion.

Real-time Distributed Lifelong Optimisation Algorithms for Swarm Intelligence

A swarm is a group of decentralized decision nodes that need to coordinate and synchronise actions to achieve an effect. One example is in computer Ad-hoc networks where the nodes need to swarm to maximise network throughput. This project aims at designing and proving optimality conditions for new optimisation algorithms.

Leaching and recovery of elements from CCA timber

Copper chrome arsenic (CCA) timber is a major waste that is currently being stockpiled around Australia. The strict environmental restrictions on their disposal means that this stockpile will increase annually. This project looks at optimising the choice of acids for leaching of CCA from the timber, an understanding of the rate processes and chemical equilibrium that determine the extraction efficiency of those elements, and the recovery of the copper, chromium and arsenic from the waste stream.

Achieving appreciable thrust for both cruise and accelerating flight in scramjet engines is only half the solution for a viable engine. Equally important, is the design and validation of a vehicle structure capable of withstanding the sustained high thermal loads, and the resulting thermally induced structural stresses.

Understanding the first year experience of engineering students

The aim of this project is to investigate the transition experience of students beginning an engineering degree. Of particular interest are the minority groups in engineering: women, mature age students, and at UNSW Canberra, civilian students in an otherwise military cohort.