The University of Adelaide is a public research institution in Adelaide, South Australia, established in 1874. The University of Adelaide is a part of the Group of Eight, the Association of Commonwealth Universities, and Sandstone universities.
The University of Adelaide comprises faculties, including the Faculty of Sciences, Engineering and Technology (SET), the Faculty of Health and Medical Sciences, and the Faculty of Arts, Business, Law, and Economics (ABLE). Each contains constituent schools such as School of Civil Engineering, School of Mining Engineering, School of Electrical & Electronic Engineering, School of Architecture, School of Music, and School of Physical Sciences.
These faculties include various schools that allow students to choose from a wide list of subjects according to their field of interest. The University of Adelaide offers undergraduate degree programs, postgraduate degree programs, specialized degree programs, and various student exchange programs.
Being a world-class research and teaching institution, the University of Adelaide is focused on discovering new knowledge, chasing innovation, and equipping educated leaders of tomorrow and also owns a well-established reputation for outstanding and progressive thinking.
Address:   Adelaide SA 5005, Australia
Phone:  +61 8 8313 5208
Email:  graduate.centre@adelaide.edu.au
Website:  https://www.adelaide.edu.au/
• Bachelor of Computer Science
• Bachelor of Computer Science Advanced
• Master of Computer Science
• Master of Computer Science (Advanced)
• Master of Computer Science (Research)
• Doctor of Philosophy (Computer Science)
• Graduate Certificate in Computer Science
• Graduate Diploma in Computer Science
• Master of Science (Computer Science)
The University of Adelaide is renowned for its world-class computer science research pushing the boundaries of knowledge in the field.
• Computer Vision and Robotics
• Machine Learning and Artificial Intelligence
• Distributed and Intelligent Technologies
• Internet of Things and Computer Security
• Learning Analytics and Learning Technologies
• Optimization and Logistics
• Software Engineering
Computer Vision and Robotics;
• Semantic image understanding
• Simultaneous localization and mapping (SLAM) and 3D scene reconstruction
• Integrating vision and language
• Medical imaging
Machine Learning and Artificial Intelligence;
• Effective transfer learning
• Probabilistic graphical models
• Efficient training and inference algorithms
Distributed and Intelligent Technologies;
• System execution modeling and model-driven engineering
• Innovative internet of things system development
• Task scheduling and resource allocation
• Privacy-preserving computing and data mining
• Network analysis, routing, and optimization
• Social network analysis
• Internet of Things and Computer Security;
• Machine learning algorithms to analyze time-series data on wirelessly powered iot devices
• Security services in the absence of operating-system control and under device constraints
• Hardware and operating system services support confidential information management
• Cryptographic algorithms to identify potential data leaks
Learning Analytics and Learning Technologies;
• Learning analytics
• Innovative learning approaches
• Online learning environments
Optimization and Logistics;
• Plan delivery trucks daily routes
• Assist with long-term mining decisions
• Design wind turbines and farms
• Customize program code for energy consumption
Software Engineering;
• Tools that support software-intensive systems design, analysis, and evolution
• Data analytics systems that uncover new information from large-scale software repositories
• Everage virtualized, internet of things and big data technologies to design and evaluate secure, softwarised infrastructure and services
• Navigate large amounts of textual and quantitative data
The University of Adelaide in Australia is home to several world-class computer science research labs, groups, and centers include,
• Centre for Cyber Security Research and Innovation
• High Performance Computing Research Group
• Centre for Autonomous Systems
• Interaction Design Group
• Centre for Digital Business Transformation
• Intelligent Systems Research Group
• Interactive Visualization Group
• Computer Vision Research Group
• Adaptive Dynamics and Robotics Group
• Design Informatics Research Group
• Cognitive Vision Research Group
• Artificial Intelligence Research Group
• Computational Media Design Group
• Software Engineering Research Group
• Networked Systems Research Group
• Vice-Chancellor-s International Postgraduate Scholarship
• International Postgraduate Research Scholarship
• University of Adelaide International Scholarship
• Adelaide Scholarships International
• University of Adelaide Equity Scholarships
• Commonwealth Scholarships
• Postgraduate Research Scholarship
• Postgraduate Research Overseas Scholarship
• Australian Postgraduate Award
• International Postgraduate Coursework Award
• University of Adelaide Postgraduate Research Scholarship
• Australian Government Research Training Program Scholarship
Funded projects in computer science at the University of Adelaide in Australia
• Scalable and Adaptive Context-Aware Systems
• Autonomous Systems for Unmanned Aerial Vehicles
• Augmented Reality for Human-Centred Computing
• Autonomous Vehicle Navigation and Control
• Artificial Intelligence for Autonomous Driving
• Gaze-based Interaction for Human-Robot Interaction
• Big Data Analytics for Smart Cities
• Smart Sensors and Networks for Healthcare
• Knowledge-based Machine Learning
• Natural Language Processing for Recommender Systems
Admission requirements in the University of Adelaide for the Ph.D. program are as follows;
• A bachelor-s degree in computer science or a related discipline with a minimum grade point average (GPA) of 6.0 on the 7-point scale
• Proof of research experience in the field of computer science, including research papers, publications, or a research project
• English language proficiency test score of 6.5 in IELTS, 90 in TOEFL
• Two academic references
• A research proposal
• A personal statement