Applications closed 30th November 2021.
To register your interest for future PhD scholarship opportunities, please email cires@uq.edu.au
Applications have closed for our PhD project “Information Architecture and Forensic Data Analysis” based at Swinburne University of Technology in Melbourne working with Chief Investigator Dr Paul Scifleet and industry partner Astral Consulting.
This project investigates how can we improve information architectures to support more effective data discovery and the responsible sharing of data. What methodologies can best support the effective exchange of information inherent in enterprise information architecture? This PhD research project will investigate how organisations can leverage human & AI/ML approaches to improve the forensic discovery and analysis of organisational data across multiple and complex information architectures.
In the CIRES program, you will work collaboratively with university and industry partner supervisors who are leading research with real world impact. Your research will build on strong foundations of responsible data management, focusing on curating data at scale and building trusted data relationships. Over the period of your degree, you will also undertake a one-year (equivalent) placement with the industry partner, Astral Consulting Services Pty Ltd, and will collaborate and participate in industry-led projects.
Applications close 30th November 2021. For further PhD project opportunities, please visit our Study with Us page.
Congratulations to University of Queensland Researcher and Centre Chief Investigator Associate Professor Hongzhi Yin who has been awarded a prestigious Australian Research Council (ARC) Future Fellowship for the project “Decentralised Collaborative Predictive Analytics on Personal Smart Devices”. The 2021 ARC Future Fellowships scheme will see 100 new research projects funded at universities around Australia, focused on areas of national priority. Future Fellowships provide successful researchers with an opportunity to dedicate four years to their research endeavours in Australia. Hongzhi’s project will tackle the challenging problem of personalised predictive analytics with resource-constrained personal devices and massive-scale data.