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Software Engineering PhD Projects, Programs & Scholarships in Sydney

We have 7 Software Engineering PhD Projects, Programs & Scholarships in Sydney

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Showing 1 to 7 of 7
  High-Speed Millimetre Wave Wireless Communications
  Prof X Huang
Applications accepted all year round

Funding Type

PhD Type

Increasing demand for high speed wireless communications systems means that new signal processing algorithms and hardware implementations are necessary to meet low cost and high performance requirements.
  A Neural Fuzzy Fusion Engine for Human-Machine Autonomous Systems
  Dr YK Wang
Applications accepted all year round

Funding Type

PhD Type

Abstract. This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS).
  Natural porous vibro-acoustic media
  Dr S Oberst
Applications accepted all year round

Funding Type

PhD Type

The Centre for Audio, Acoustics and Vibration (CAAV) was formed in 2017 and now has nine full time academic staff. The Centre is based at Tech Lab, which is a brand new research led facility that is close to the airport in Sydney.
  Medical Image classification in cancer detection
  Dr S Chakraborty
Applications accepted all year round

Funding Type

PhD Type

Developing ML based classification models for detecting cancerous regions in medical images. The project aims to develop various classifiers using machine learning approaches such as Convolutional neural networks (CNN).
  Distributed traffic control for connected and autonomous vehicles in mixed traffic environments
  Dr S Mihaita
Applications accepted all year round

Funding Type

PhD Type

In an era of rapid technological changes, connected, electric and autonomous vehicles (CAEVs) seem to be the perfect solution for dealing with challenging problems such as congestion, pollution and space optimisation in urban areas.
  Data science frontier: theory and algorithm
  Prof L Cao
Applications accepted all year round

Funding Type

PhD Type

Theoretical breakthroughs in frontier data science will be built on top of statistic learning and deep learning for complex data analytics and learning.
  Modelling traffic disruptions using machine learning and simulation modelling
  Dr S Mihaita
Applications accepted all year round

Funding Type

PhD Type

Project Topic. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost.
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