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Analytical Modelling for Landslide’s Prediction

Accurate modelling of landslides allows the prediction of the movements of accelerating landmasses. A successful and early prediction provides populated areas a warning of large mas more...

Supervisor(s): Alonso-Marroquin, Fernando (Dr)

Investigating the impacts of visual arts on primary chronic pain

This project consists of a series of studies investigating the physiological, social and psychological impacts of visual arts on patients with chronic pain. more...

Supervisor(s): Pourkazemi, Fereshteh (Dr), McKay, Marnee (Dr)

Imaging a patient while they move

Diagnosing knee, shoulder and back complaints can be difficult because we currently cannot image a patient as they walk or pick up an object. The aim of this project is to develop more...

Supervisor(s): O'Brien, Ricky (Associate Professor)

Incentives to improve responsible research practices

This is an exciting opportunity to investigate aspects of responsible research practices in different domains, and strategies to improve incentives for these practices.   more...

Supervisor(s): Diong, Joanna (Dr)

Fluid-structure interaction in the human upper airway

This project will apply state of the art experimental diagnostic methods to analyse fluid structure interaction in model reconstructions of the human upper airway. more...

Supervisor(s): Kourmatzis, Agisilaos (Dr)

Dissipative pressure waves and the mechanics of granular materials

This project will experimentally investigate damage zones around seismogenic faults. This will be achieved through examining a novel basic mechanism for instability in solids: volum more...

Supervisor(s): Marks, Benjy (Dr)

Crushable granular flows

In both earthquakes and landslides, grains are often crushed during flow. This changes the flowing behaviour, and causes the flow to accelerate. This project will develop an experim more...

Supervisor(s): Marks, Benjy (Dr)

FPGA-based low latency machine learning

This project involves the design of novel low-latency trading systems by combining FPGA hardware and machine learning. more...

Supervisor(s): Leong, Philip (Professor), Jin, Craig (Associate Professor), McEwan, Alistair (Professor)

Technological Change and the Future of Cities

Many transport analysts envision a forward-looking, ambitious and disruptive cloud commuting-based transport system for future smart cities based on emerging connected, autonomous v more...

Supervisor(s): Levinson, David (Professor)