Study As
Full Time

Principal Supervisor
Professor Markus Stumptner

Main Campus
Mawson Lakes

Applications Close
09 Oct 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:
$28,854 p.a. available to domestic and international applicants

About this project

Accelerating change in the energy sector is causing many companies to invest heavily in advanced analytical capabilities as a way of leveraging digital disruption to remain competitive. Sophisticated interoperability techniques are required to overcome the boundaries of organisational and technical siloes and provide seamless access to data across a complex enterprise.

In collaboration with national and international industry partners, this project seeks to develop novel artificial intelligence techniques for the automated establishment of interoperability between different systems in a digital plant or digital twin. The successful applicant will develop novel artificial intelligence methods for multilevel semantic representations, knowledge graphs, and ontology and knowledge mappings. The successful applicant will develop novel methods for semantic representations, knowledge graphs, and ontology mappings in multilevel representations.

The outcomes of this project will be
  • Knowledge representation techniques that allow the representation of interoperability specifications across the industrial plant and product lifecycle.
  • A concise formal approach to describe the relationships between entities and types of a problem domain ("entity management framework").
  • Automated negotiation techniques and diagnostic techniques to identify discrepancies in data models and specifications, and create mappings to bridge these discrepancies.
  • Implementations for demonstration purposes based on use cases developed with the supervisors and industry partners.
These outcomes will enable demonstration related to concrete industry partner problems and related standards work, potentially leading to the development of self-maintaining digital twins and self-adjusting standards specifications.

The successful candidate will join 80+ researchers to work in the rapidly growing Industrial AI Research Centre, and produce conceptual models and demonstration implementations, writing and publication of conference and journal papers, including travel to conferences. Work will include frequent contact with industry partners and industry partner standards data.

Supervisory Team
Financial Support

This project is funded for reasonable research expenses. Additionally, a living allowance scholarship of $28,854 per annum is available to eligible applicants. Australian Aboriginal and/or Torres Strait Islander applicants will be eligible to receive an increased stipend rate of $45,076 per annum. A fee-offset or waiver for the standard term of the program is also included. For full terms and benefits of the scholarship please refer to our scholarship information for domestic students or international students.

Eligibility and Selection

This project is open to both domestic and international applicants. Applicants must meet the eligibility criteria for entrance into a PhD.

Additionally, applicants must meet the project selection criteria:
  • Knowledge of logic programming or knowledge representation techniques
Applicants who can also demonstrate the following will be highly regarded:
  • Experience with conceptual modeling
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 and to be based at our Mawson Lakes campus in the north of Adelaide.

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 Sunday 9 October 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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