Research degrees
Students who have a deep interest in Electrical and Electronic Engineering are invited to apply for entry to the Master of Philosophy (MPhil) and Doctor of Philosophy (PhD) degrees.
Visit our Study website to find out more about:
- Course information
- Entry requirements
- Scholarships: eligibility and application dates
- How to apply
Master of Philosophy (Engineering)
Doctor of Philosophy (Engineering)
Finding a supervisor
View our People page to view profiles of our researchers, individual staff contact information and research topic areas.
Research projects recruiting students
Sensor response model for Chemical/Biological detectors for airborne hazardous materials
Team: Jonathan Manton, Prof. Jonathan Manton Prof. Bill Moran Prof. len Sciacca
Smart Grids: Data-driven approaches for the operation and planning of DER-rich distribution networks
Team: Nando Ochoa
Smart Grids: Future Distribution System Operators (DSOs)
Team: Nando Ochoa
Smart Grids: Grid integration of Distributed Energy Resources (DER)
Team: Nando Ochoa
Nanowire photodetectors
Team: Kenneth Crozier
Machine learning and optimisation in 6G networks
Team: Ampalavanapillai Nirmalathas, Tansu Alpcan
Coded computation for machine learning
Team: Jingge Zhu
Information-theoretic analysis of machine learning algorithms
Team: Jingge Zhu
Structured codes in wireless communication networks
Team: Jingge Zhu
Machine learning-based planning of low-carbon multi-energy systems
Team: Pierluigi Mancarella, Dr Lingxi Zhang, Dr Sleiman Mhanna
Brain mapping with MRI: brain atlases with multiple topographic features
Team: Andrew Zalesky
Computational neuroscience: Simulating brain dynamics and generative modelling of brain networks
Team: Andrew Zalesky, Dr Caio Seguin
Machine learning prediction of biological ageing of the brain and body
Team: Andrew Zalesky
Network communication in the brain
Team: Andrew Zalesky, Dr Caio Seguin
Sparse approximation methods for optimal control and stationary action problems
Team: Peter Dower
Structure-function coupling in the connectome
Team: Andrew Zalesky, Dr Caio Seguin
Transcranial magnetic brain stimulation for depression
Team: Andrew Zalesky, Dr Robin Cash
Digitally networked dynamical systems: performance and robustness analysis
Team: Michael Cantoni, Ye Pu
Structured networked control systems
Team: Dragan Nesic
When stabilisation and optimisation meet: a codesign approach
Team: Dragan Nesic
Modelling and control of irrigation channels
Team: Erik Weyer, Michael Cantoni
Learning of dynamical systems from a finite number of data points
Team: Erik Weyer
Scenario based model predictive control with application to water resources systems
Team: Erik Weyer, Chris Manzie, Wenyan Wu, Ye Wang
Distributed deep learning for cognitive radio networks
Team: Tansu Alpcan, Chris Leckie (CIS), Sarah Erfani (CIS)
Strategic competitive decisions on complex systems
Team: Tansu Alpcan
Multi-modal deep dictionary learning framework for managing smart city assets
Team: Marimuthu Palaniswami, Karim Seghouane, Aravinda Rao
Photonics reservoir computing
Team: Ampalavanapillai Nirmalathas, Elaine Wong
Advanced methods for intelligent monitoring of fetal wellbeing
Team: Marimuthu Palaniswami, Emerson Keenan
Dielectric metasurfaces
Team: Kenneth Crozier
Optical nanotweezers
Team: Kenneth Crozier
Future low-loss photonic devices at telecomm wavelengths
Team: M Usman
Real-time Internet of Things (IoT) for smart transportation
Team: Marimuthu Palaniswami, Tansu Alpcan, Aravinda Rao
6G Networks: Characterisation of human-to-machine (H2M) traffic
Team: Elaine Wong
Cloudlets for secure human-to-machine (H2M) applications
Team: Elaine Wong
6G Networks: Improving resiliency for human-to-machine (H2M) applications
Team: Elaine Wong
Adapting communication networks for low-latency human-to-machine (H2M) applications
Team: Elaine Wong
Acoustic engineering: microfabrication of acoustic waveguides for non-contact microscale assembly
Team: David Collins
Algebraic, geometric and topological signal processing
Team: Jonathan Manton
Data assimilation
Team: Jonathan Manton
Dynamic modeling for tennis
Team: Jonathan Manton
Foundations of machine learning
Team: Jonathan Manton
Foundations of optimisation
Team: Jonathan Manton
Foundations of stochastic filtering
Team: Jonathan Manton
Foundations of systems neuroscience
Team: Jonathan Manton
FPGA and GPGPU implementations of signal processing algorithms
Team: Jonathan Manton
Manifold learning
Team: Jonathan Manton
Pulse processing for spectroscopy
Team: Jonathan Manton
Random search strategies: modelling and analysis of T cell movement
Team: Jonathan Manton
Real-time adaptive optimisation
Team: Jonathan Manton
Real-time optimisation
Team: Jonathan Manton
Reinforcement learning (stochastic optimisation and game theory)
Team: Jonathan Manton
Reliable computing with unreliable components
Team: Jonathan Manton
Remote sensing for smart sports
Team: Jonathan Manton
Studying the neuronal network of the breathing complex
Team: Jonathan Manton
Studying the neuronal network of the C. Elegans
Team: Jonathan Manton
System identification in biology
Team: Jonathan Manton
System identification in neuroscience
Team: Jonathan Manton
Wireless charging
Team: Jonathan Manton
Modern control methodologies for improving wind turbine performance
Team: Robert Schmid, Ying Tan, Denny Oetomo
Optical wireless networking: architectures, systems and technologies
Team: Ampalavanapillai Nirmalathas, Christina Lim Elaine Wong
View full list of Electrical and Electronic Engineering research projects