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Image processing for understanding cell biology

In this project we aim to develop novel image and video processing algorithms and pipelines to better understand cell biology. more...

Supervisor(s): Khushi, Matloob (Dr)

Medical Image Analysis with Machine Learning Techniques

Develop artificial intelligence for computer-assisted diagnosis from medical scans. more...

Supervisor(s): Zhou, Luping (Dr)

Building Nano-X: a smaller and smarter cancer treatment machine

Nano-X is a smaller and smarter machine that will transform cancer treatment for millions of patients around the world every year. PhD positions are now available in advanced biomed more...

Supervisor(s): Keall, Paul (Professor)

Non-destructive techniques for detecting damage in structures

The purpose of this research is to develop non-destructive techniques for assessing, measuring and characterising the structural response of structures.  more...

Supervisor(s): Dias-da-Costa, Daniel (Dr)

Neural Correlates of Chronic Cardiovascular Disease

Chronic cardiovascular disease (diabetes, obesity, heart disease) has a wide systemic physiological impact, including microstructural damage to the brain. Our group has an opportuni more...

Supervisor(s): Grieve, Stuart (Professor)

Brain Structural Connectomics and Tractographic Performance in Ultra-High Resolution Diffusion Imaging

Sydney Translational Imaging Laboratory (STIL) have an opportunity for a PhD student to investigate the structure of the brain's white matter fibres at a previously unseen level of more...

Supervisor(s): Grieve, Stuart (Professor)

New technologies for detecting, counting and identifying pollinators in the field

This project will leverage advances in image processing and machine learning to develop new techniques for high throughput sampling of pollinator populations in crops.  Th more...

Supervisor(s): Latty, Tanya (Dr)

Data-intensive solutions for medical technologies

This project aims at developing advanced solutions in software for processing medical data, addressing the issue of less or no labelled data. more...

Supervisor(s): Kavehei, Omid (Dr)

Biometrics (face recognition, human gait recognition or person re-identification)

This research project aims to develop new feature extraction and classification methods for face recognition, human gait recognition or person re-identification. more...

Supervisor(s): Xu, Dong (Professor)

Video analytics (activity and video event recognition)

This research project aims to develop new intelligent video analytics systems for understanding videos. more...

Supervisor(s): Xu, Dong (Professor)