The Digital Twin Scholarship 2027 in Australia offers an exciting opportunity for domestic and international students to undertake a fully funded PhD at Macquarie University. The research project focuses on developing AI-enabled digital twin systems that can improve preventive care in aged care and rehabilitation facilities.

This three-year PhD brings together artificial intelligence, systems engineering, healthcare technology, Internet of Things (IoT) systems, predictive modelling, and optimisation. The research will explore how digital twin technology can support better decision-making in healthcare environments.

The scholarship is industry-sponsored by Lagrange.ai, with PhD researchers expected to work closely with academic supervisors and industry engineers. The goal is to develop practical and scalable digital twin architectures that can address challenges such as fall prevention, staff deployment, resource allocation, and therapy coordination.

Digital Twin Scholarship 2027 in Australia

The Digital Twin Scholarship is offered through Macquarie University for an eligible direct-entry three-year PhD program. It is open to both domestic and international students.

Digital twins are virtual representations of real-world systems, environments, or processes. When combined with artificial intelligence and real-time data, they can help organisations understand current conditions, predict future events, and make better operational decisions.

In this PhD project, the technology will be applied to aged care and rehabilitation settings. The research will investigate ways to combine information from IoT sensors, enterprise systems, and other sources to create intelligent healthcare models.

The project is particularly relevant to researchers interested in AI, healthcare engineering, data-driven decision-making, optimisation, digital health, and intelligent systems.

Digital Twin Scholarship Benefits

The Macquarie University Digital Twin Scholarship provides financial support for successful PhD candidates throughout the three-year research period.

Tuition Fee Support

The scholarship includes a tuition fee offset/scholarship. This reduces the financial burden associated with undertaking a PhD at Macquarie University.The scholarship is structured to support eligible candidates throughout the direct-entry three-year PhD program.

Living Allowance Stipend

Successful candidates receive a living allowance stipend valued at AUD $40,900 per annum for full-time study. The stipend is indexed and provided for three years.This is equivalent to approximately AUD $3,408 per month when the annual amount is divided across 12 months. The official scholarship amount is stated as an annual figure, so applicants should use the university's published annual value when assessing the funding package.

The stipend allows successful researchers to concentrate on their doctoral research while developing expertise in AI-enabled healthcare technologies.

Industry and Academic Collaboration

Another important feature is the collaboration between Macquarie University and Lagrange.ai. The research will involve interaction between academic supervisors and industry engineers.

This provides a practical environment for researchers who want to connect doctoral research with real-world technological applications. The project is designed to develop systems that can potentially address genuine operational and healthcare challenges.

Digital Twin PhD Research Areas

The research project covers several interconnected areas of artificial intelligence, engineering, and healthcare technology.

AI-Enabled Predictive Models

One focus is the development of scalable predictive models. These models can analyse available data and identify patterns that may help healthcare facilities anticipate potential problems.

Predictive systems could be particularly relevant to fall prevention in aged care and rehabilitation environments. The research will investigate how AI can contribute to more informed and proactive decision-making.

Real-Time IoT Data Integration

The project will also examine how real-time data from IoT sensors and enterprise systems can be integrated into digital twin environments.

Sensors and connected systems can generate large amounts of information. A digital twin can provide a framework for bringing this information together so that researchers and healthcare operators can better understand what is happening within a facility.

The challenge is to develop systems that can process and use this information effectively while remaining scalable and suitable for healthcare applications.

Optimisation and Resource Allocation

Another research component involves optimisation algorithms for resource allocation and scheduling.

Aged care and rehabilitation facilities often need to coordinate staff, equipment, rooms, appointments, and therapy activities. Intelligent optimisation tools could help model these requirements and explore more efficient approaches to resource allocation.

The PhD will investigate how digital twins and optimisation techniques can contribute to these complex operational decisions.

Automated Decision Support

The project also includes the development of automated decision support tools.

Such tools can potentially help healthcare organisations identify risks, coordinate activities, and make data-informed operational decisions. The research will explore how AI-enabled digital twin systems can provide useful information to support staff and facility management.

Who Can Apply for the Digital Twin Scholarship?

The scholarship is available to domestic and international students who are eligible to undertake the relevant direct-entry three-year PhD program at Macquarie University.

The scholarship information specifically identifies the student types as domestic and international and lists the study level as PhD.

Applicants should carefully review Macquarie University's current admission and scholarship requirements before applying. The scholarship page does not provide a complete list of additional eligibility requirements, so candidates should confirm that they meet the university's requirements for PhD admission.

Having a strong academic background relevant to the proposed research area can be particularly important for applicants interested in this highly technical project.

How to Apply for the Digital Twin Scholarship 2027

The application process includes an important preliminary step.Before submitting the scholarship application, prospective candidates must send an expression of interest (EOI) to Professor Mohsen Asadnia at mohsen.asadnia@mq.edu.au.

Applicants should introduce themselves clearly and provide information relevant to the proposed PhD project. It is also useful to review the official scholarship information and Macquarie University's PhD application requirements before contacting the academic supervisor.

Application Steps

• Review the Digital Twin Scholarship details at Macquarie University.

• Check your eligibility for the direct-entry PhD program.
• Review the research focus and determine whether your academic background and interests align with the project.
• Prepare and submit an expression of interest to Professor Mohsen Asadnia.
• Review Macquarie University's PhD application requirements.
• Prepare the required application materials.
• Submit your scholarship and PhD application through the appropriate university process.
• Ensure everything is submitted before the stated deadline.

View the official Digital Twin Scholarship pageSee Macquarie University scholarship application information

Digital Twin Scholarship 2027 Deadline

The application deadline for the Digital Twin Scholarship in Australia is 31 October 2026.

Applicants should not wait until the deadline to begin the process. Since an expression of interest must be submitted to Professor Mohsen Asadnia before the application, prospective candidates should allow enough time for academic communication and preparation of the required documents.

Checking the university's official scholarship page before submission is also important because application procedures and requirements can be updated.

Why Study Digital Twin Technology in Healthcare?

Healthcare systems are becoming increasingly data-driven. Hospitals, aged care providers, rehabilitation centres, and other healthcare organisations use connected devices and digital systems to manage complex activities.

Digital twin technology offers a way to model these environments and analyse their behaviour using real-time information. When artificial intelligence is incorporated, these models can potentially support prediction, optimisation, and decision-making.

The Digital Twin Scholarship therefore sits at the intersection of several rapidly developing fields.Researchers will have the opportunity to investigate questions involving AI, IoT, predictive analytics, optimisation, healthcare engineering, digital health, and systems modelling.

The practical focus of the project can also provide experience in developing technology for real-world healthcare environments.

Who Should Consider This PhD?

This scholarship may be relevant to candidates with an interest in developing advanced technological solutions for healthcare.

Potential applicants may come from backgrounds related to artificial intelligence, computer science, engineering, systems engineering, data science, robotics, healthcare technology, optimisation, or other closely related disciplines.

A strong interest in applying technical research to practical healthcare problems can also be valuable because the project focuses on aged care and rehabilitation facilities.

Candidates should also be comfortable with interdisciplinary research. The project combines technical development with healthcare applications and industry collaboration.

Frequently Asked Questions

What is the Digital Twin Scholarship 2027?

It is a PhD scholarship at Macquarie University focused on developing AI-enabled digital twin systems for preventive care in aged care and rehabilitation facilities.

Is the Digital Twin Scholarship fully funded?

The scholarship provides a tuition fee offset and a living allowance stipend. The stipend is valued at AUD $40,900 per annum for three years for full-time study.

How much is the monthly stipend?

The annual stipend of AUD $40,900 is approximately AUD $3,408 per month when divided by 12. The official scholarship value is specified annually and is indexed.

Who sponsors the scholarship?

The research scholarship is industry-sponsored by Lagrange.ai and offered through Macquarie University.

Can international students apply?

Yes. The scholarship is listed as available to both domestic and international students.

How long is the PhD?

The scholarship supports a direct-entry three-year PhD program.

What research will the PhD cover?

The research focuses on AI-enabled digital twin systems, predictive models, real-time IoT data integration, optimisation algorithms, resource allocation, scheduling, and automated decision support for aged care and rehabilitation.

Who should I contact before applying?

Applicants must submit an expression of interest to Professor Mohsen Asadnia at mohsen.asadnia@mq.edu.au before submitting their application.

What is the application deadline?

The application deadline is 31 October 2026.

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