CIRES-Allianz Worldwide Partners Australia PhD scholarships
This scholarship is closed.
- Enrolment status
- Future UQ student
- Student type
- Domestic, International
- Study level
- Postgraduate research (HDR)
- Study area
- Arts, humanities and social sciences, Business and economics, Computer science and IT, Education, Engineering, Health and medicine, Science and mathematics
- Scholarship focus
- Academic excellence
- Funding type
- Living stipend, Top-up, Tuition fees
- Scholarship value
- $36,161 per annum (2023 rate), indexed annually. A top-up of $5,000 per annum is also available.
- Scholarship duration
- 3.5 years with the possibility of 1 extension in line with UQ and RTP Scholarship Policy
- Number awarded
- May vary
- Applications open
- 11 April 2023
- Applications close
- 16 May 2023
About this scholarship
Supervisor: Dr Rocky Chen
Project: Value Measurement of Data Products
Partner: Allianz Worldwide Partners (AWP) Australia
Evaluating data products is a complex problem that transcends technical, organisational and customer perspectives. The provenance and transformations of data products through methods such as information extraction, fusion and aggregation add to the challenge. To date there is no rigorously developed framework for evaluating data products and the monetary, or public good value, it creates.
In collaboration with global insurance company, Allianz Worldwide Partners (AWP) Australia, this project will challenge and extend the current body of knowledge on value of data products including computation, human effort and perceived value, and deliver a domain-agnostic framework that will build business capacity on informing and prioritising data science projects.
This project focuses on how to maximise data-driven value creation and capture and is one of two CIRES projects with AWP Australia related to organisational and transformational aspects of data, algorithms, and AI.
The advisory team for this project is Dr Rocky Chen (Principal Advisor), Dr Wen Hua and Professor Shazia Sadiq (Associate Advisors), and Mr Shane Downey (AWP Australia).
About Allianz Worldwide Partners Australia
Allianz Worldwide Partners Australia (AWP Australia) is a world leader in insurance and assistance, offering global solutions that span health and life, travel, and automotive. Customer-driven, AWP Australia’s innovative experts redefine insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance.
As a data-driven company, AWP Australia utilises sound data management and practices backed by scientific research to effectively apply identified improvements. As a result, they are constantly uncovering ways of continuously improving data management and goals surrounding smart automation and strong governance around automated decision-making. Another key goal is to develop greater insights and frameworks based on understanding how data can be assessed, valued, and applied including perceptions and expectations of the consumers of insurance products. AWP Australia and CIRES have co-designed the collaborative projects as a way to further these goals.
Research environment
The Australian Research Council (ARC) Industrial Transformation Training Centre for Information Resilience (CIRES) is a partnership with the University of Queensland, Swinburne University of Technology, and partner organisations from Industry and Government. Our objective is to enable Australian organisations to achieve responsible, secure, and agile value creation from data while building workforce capacity in Data Science, Machine Learning, and Artificial Intelligence.
Our PhD positions are part of an innovative Higher Degree by Research (HDR) training program provided by CIRES. You will have the opportunity to work collaboratively with university and industry partner supervisors who are leading research with real-world impact. Their research will build on strong foundations of responsible data management, focusing on curating data at scale and building trusted data relationships to lift the socio-technical berries to data-driven transformation.
During your degree, you will undertake a one-year (equivalent) placement with the industry or government partner. We offer a generous scholarship package of $36,161 per annum (indexed annually) and a top-up scholarship from $5,000 per annum.
Positions are based at the University of Queensland St Lucia Campus, in Brisbane, Australia. We invite highly motivated and committed candidates to apply for these fully funded PhD positions. For more information visit the CIRES website or contact us via cires@uq.edu.au.
Eligibility
To be eligible to apply, you must:
- Meet the entry requirements for Higher Degrees by Research at UQ
- Be nominated by the Principal Advisor and enrolling school or institute at UQ
- Submit a 2-page overview with your application addressing:
- Why you are interested in this project
- What challenges you foresee in the project
- What special insights or capabilities you would bring to the project
- How you see the project and PhD as part of your career trajectory
- Complete an interview process with the UQ supervisory team and industry or government partner
Applicants for this scholarship should be aiming to commence in Research Quarter 3, 2023 (July commencement) or Research Quarter 4, 2023 (October commencement).
How to apply
Before submitting an application you should:
- check your eligibility for a Doctor of Philosophy (PhD)
- prepare your documentation
- contact Dr Rocky Chen (tong.chen@uq.edu.au) to discuss your suitability for this scholarship
You apply for this scholarship when you submit an application for a Doctor of Philosophy (PhD). You don't need to submit a separate scholarship application.
When you apply, please ensure that under the scholarships and collaborative study section you:
- Select ‘My higher degree is not collaborative’
- Select 'I am applying for, or have been awarded a scholarship or sponsorship'.
- Select ‘Other’, then ‘Research Project Scholarship’ and type in ‘ALLIANZ-CHEN’ in the 'Name of scholarship' field.
Selection criteria
Your application will be assessed on a competitive basis.
We take into account your:
- previous academic record
- publication record
- honours and awards
- employment history
For this position, the successful candidate is expected to have a good understanding of concepts from data science, business process, applied statistics, numerical linear algebra, and machine learning.
This project also requires proficiency in Python programming language and machine learning software packages, as well as experience in data processing and data analysis.
Rules
A domestic part-time student with carer’s responsibilities, a medical condition or a disability, which prevents them from studying full time may be eligible for scholarship consideration, on a case by case basis.