PhD Intelligent Systems

Our mission is to understand how the brain works at multiple levels, from cells to cognition and apply that understanding to create realistic models and construct technologies that solve the complex issues that face people and society. To accomplish our mission we use a variety of research strategies that include big data and machine learning, brain imaging and neural interfacing, human-computer interaction and robotics. Our cross-disciplinary research focuses on six interrelated research themes: Computational Neuroscience and Neuromorphic Engineering To model cellular and network level brain function to understand intelligence and pathology and create biologically inspired algorithms and hardware. Cognitive Neuroscience and Neurotechnology To develop intelligent signal/image processing to probe and understand brain dynamics, structure and function and produce technologies that maintain, enhance, augment and restore physical and cognitive function. Cognitive Robotics To create robotic ecologies that have human-like sensing capability for seamless interaction through complex object recognition, vision and tactile sensing, task allocation, manipulation and more. Intelligent Data Analytics To achieve fundamental advances in AI and scalable computing to solve the most challenging data analytics problems faced by people, industry, society and government. Spatial Computing and Future Human-Computer Interaction To study people’s interaction with text, voice, gesture, Augmented Reality/Virtual reality (AR/VR) and develop new contexts for computing through wearables and technology everywhere. Cyber Security and Web technologies To develop secure and connected technologies that operate intelligently to deliver context aware knowledge and actions in real-time.

Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study. We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Masters Degree with Distinction. In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications.