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.

Machine Learning based Real-time Scheduling

Integrated project planning and scheduling is a hot research topic that has provided a blueprint of project’s success that is based on uninterrupted completion of a project. However, in real production, the project environment changes dynamically because of external and internal fluctuations which create interruptions to the process, due to machine breakdowns, sudden material shortage and so on. These disturbances will mean that the optimal process plan and schedule may become less efficient or even infeasible.

Quasi-normal modes of electromagnetic and acoustic systems

Many physical systems are usefully described by their modes, which are found by solving an eigenvalue problem. This is also true for nano-photonic structures such as metamaterials, nano-antennas and plasmonic particles. However, many systems have strong radiation or dissipative losses, and violate many assumptions which are valid for closed systems.

UNSW Canberra is looking for talented researchers to join our team in solving challenging problems in Machine Learning, Natural Language Processing, Deep Learning and Network Dynamics for Cyber Deception working with the Cyber Security CRC – see

Design and Analysis of Efficient Coding Schemes for Internet of Things

The aim of this project is to research coding techniques for device to device cooperative communications in IoT. Specifically, this project will investigate techniques and methods to improve the throughput and efficiency of the cooperative communications in IoT.

Probabilistic Systems Engineering Model: Synthesis and Validation

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.

Trusted, Safe, and Distributed Artificial Intelligence in Lifelong Machine Learning Tasks

Smart machines that continues to learn forever run the risk that they may learn undesirable behaviours. The aim of this project is to ensure this does not happen. This requires the design of safety nets in place to ensure that the artificial intelligence will continue to operate in a trusted manner and continues to be safe.

Numerical simulations of surgically changed arteries

In this program, computational structure/structure dynamics and model experiments will be integrated to study the structure dynamic responses, turbulence flows and local stresses with long-term goal of exploring clinic applications. There are more than 30,000 patients receiving artery related implants in Australia, incurring substantial cost for treating and nursing these patients.

Microwave and Millimetre-wave Metasurfaces

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.

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.

Dynamic collapse of metallic lattice structures

Metallic lattice materials have shown promise for lightweight sandwich panels that provide protection against blast and shock propagation. However, little is known of their dynamic spall characteristics (when shock-compressed) and their collapse under dynamic loading.