Education and training are key fundamental aspects of the aviation industry. Almost every aspect of the industry that is critical to operations requires dedicated education and training, with many requiring official certification and licensing. As such, research into effective and efficient teaching and learning is essential to the aviation industry, across all sectors: pilot training, maintenance engineering, remotely piloted aircraft, air traffic management and control, accident and incident investigation, and many others.
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 Southern Hemisphere radar stations in Australia (Tidbinbilla, Parkes and Narrabri) provide a good platform to detect asteroids and study their trajectories and properties. Based on real measurements obtained through these stations, the project aims at providing signal processing tools to analyse planetary radar signals of near-earth objects, i.e., asteroids.
The mechanisms of aquatic animal swimming become a central issue for researchers and engineers who wish to develop underwater robotics with superior locomotion capability. Aquatic animals suspended in water are subject to the complex nature of three-dimensional flows, which have the potential to perturb the swimming motions of the animals.
The exponential growth of space objects in near-Earth orbit is placing new demands on space traffic management systems. Instead of hundreds to thousands of objects, future space traffic management systems will be required to maintain and provide a space catalogue of thousands to tens of thousands of objects. Essential to enabling this capability is the simultaneous improvement in current force modelling techniques and a reduction in their computational cost.
Gasdynamic lasers create optical gain from the rapid expansion of gas through a nozzle. This can produce very high peak laser powers, and makes such lasers potentially useful in a range of applications. The efficiency of the laser is determined by the ability to create and maintain a nonequilibrium distribution of vibrational energy within such a nozzle. One effective way of driving the expanding flow is by providing elevated energy with combustion, however, some product species such as water vapour can impair the effectiveness of the rapid flow expansion in creating a population inversi
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.
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.
Smart materials and structures are essential to ensure the safe, efficient, and effective operation of assets such as aircraft. The concept of structural health monitoring is to give a structure a central nervous system such that it is capable of sensing, detecting, and monitoring its own health and reporting that for human intervention (such as maintenance activities for an aircraft), or in the far future, to activate automatic or autonomous repair systems and technologies.
