Study As
Full Time

Principal Supervisor
Professor Markus Stumptner

Main Campus
Mawson Lakes

Applications Close
14 Dec 2022

Study Level

Applications Open To
Domestic Candidate or International Candidate

Tuition Fees:
All domestic students are eligible for a fee waiver. International students who receive a stipend are eligible for a fee waiver. Find out more about fees and conditions.

Project Stipend:
No Stipend

About This Project 

The University of South Australia is welcoming applications for a PhD position in Artificial Intelligence/Computer Science to work on the project " Process mining, modelling and advanced analytics in complex domains" in collaboration with SAHMRI (South Australian Health and Medical Research Institute).   This project has the potential of high impact in the improvement of healthcare, in particular in the context of child protection through the development of smart data analytics. Currently there is the problem that a holistic view of patient through the system is missing which by analysing could help to identify patterns indicating the potential outcome of the care and supports decision making in early interventions. This project will develop new methods for combining different data sources and analysis technique involving visual analytics and AI such as Machine Learning and Process Mining.

What you’ll do

The main task of the PhD candidate is to work with supervisory team in developing new methods and techniques in data analytics on health datasets. She/he will liaison with external partners and present research result and engage with end users together with the research team for evaluating results.

By end of the PhD studies the student will be an expert in the analysis of health care data and will have published results in prestigious conferences and journals. The new methods and techniques might be patentable and lead to commercialisation efforts which go beyond the PhD studies.

Where you’ll be based

The successful candidate will work in the rapidly growing Industrial AI Research Centre. The centre has currently 35+ full time researchers and 20+ PhD students. The student's supervisory team has a unique combination of expertise in health informatics, data management, AI and data analytics within the centre. Additional members of the team from SAHMRI will provide experience in the domain to be investigated and support in the evaluation of new developed methods and techniques within the project.

The student will work in a research area on Mawson Lakes Campus which is established for the Industrial AI Research Centre.

Supervisory Team

Financial Support 

This project is funded for reasonable research expenses. A fee offset for the standard term of the program is available to Australian and New Zealand citizens, and permanent residents of Australia, including permanent humanitarian visa holders.  Additionally, any Australian Aboriginal and/or Torres Strait Islander applicant who holds an offer of admission without a living allowance will be eligible for the Aboriginal Enterprise Research Scholarship. This scholarship is to the value of $45,076 per annum. Any Aboriginal Enterprise Research Scholarship recipient will also receive a fee waiver. Where an international applicant holds an external scholarship or sponsorship a full or partial fee waiver may apply in some circumstances for exceptional applicants.  Other international applicants will be required to pay full tuition fees of approximately AUD$39,700 per annum (2023 rates).   

Eligibility and Selection 

This project is open to application from both domestic and international applicants. 

Applicants must meet the eligibility criteria for entrance into a PhD. Additionally, applicants must meet the projects selection criteria:  
  • Experience in data management and conceptual modelling
  • Experience in data analytics and machine learning.

Applicant who can also demonstrate the following will be highly regarded: 
  • Experience in data analytics in the health care domain
  • Experience in analysing sequence of events, for example, through process mining 

All applications that meet the eligibility and selection criteria will be considered for this project. A merit selection process will be used to determine the successful candidate. 

The successful applicant is expected to study full-time or part-time, and to be based at our Mawson Lakes campus in the north of Adelaide. Additionally, applications from students studying externally will also be considered. Note that international students on a student visa will need to study full-time. 

Essential Dates 

Applicants are expected to start in a timely fashion upon receipt of an offer.  Extended deferral periods are not available. Applications close on Wednesday, 14 December, 2022

How to apply:

Applications must be lodged online, please note UniSA does not accept applications via email.

For further support see our step-by-step guide on how to apply , or contact the Graduate Research team on +61 8 8302 5880, option 1 or email us at You will receive a response within one working day.

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