Applications closed 24 October 2021.
We are seeking highly motivated PhD researchers to join the Centre for exciting projects with the following industry & government partners: Aginic, Max Kelsen, Allianz Partners, Queensland Department of Education, Health & Wellbeing Queensland, Queensland Police Service, and Queensland Health.
Now open for application: 11 x PhD scholarships offered by the ARC Training Centre for Information Resilience [CIRES] .
Only domestic or onshore international candidates are eligible to apply.
PhD Scholarship applications now open!
Deadline 24 October 2021
For January or April 2022 start
This is an opportunity to be part of an innovative HDR training program. As a PhD researcher with CIRES, you will have the opportunity to work collaboratively with university and industry partner supervisors on research with real world impact. During your degree, you will undertake a one-year placement with the industry partner.
We offer a generous scholarship package of $34,627 per annum (2021 rate) and top up scholarships from $5,000 per annum. We are now recruiting for the following projects. All positions are based at the University of Queensland’s St Lucia Campus. Applications closed 24th October 2021.
For full details and how to apply visit our Study With Us page
If you have any questions about CIRES or applying for these projects, please contact our Centre Manager Kate Aldridge k.aldridge@uq.edu.au
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.