The AI‑Enabled Digital Twin for Preventive Care PhD Scholarship 2026 at Macquarie University gives exceptional candidates a fully funded opportunity to pursue doctoral research that merges artificial intelligence, systems engineering, and healthcare technology. This industry‑linked scholarship supports international and domestic students throughout their three‑year PhD, enabling them to focus on real‑world research and innovation in preventive care systems.
About the AI‑Enabled Digital Twin for Preventive Care PhD Scholarship
Macquarie University awards this research scholarship in partnership with Lagrange.ai, a specialist in AI‑driven simulation and optimisation. The project titled “AI‑enabled digital twin for preventive care in aged care and rehabilitation facilities” focuses on engineering predictive models, optimising data integration from IoT systems, and developing automated decision‑support tools. It targets complex challenges such as fall prevention, staff deployment, and therapy coordination, combining academic inquiry with industry impact.
Why Choose The AI‑Enabled Digital Twin for Preventive Care PhD Scholarship?
This fully funded PhD lets you pursue high‑impact research without the worry of financial constraints. You will work at the forefront of AI, machine learning, and healthcare digital technology while collaborating with academic supervisors and industry engineers. The scholarship builds deep technical expertise, enhances your professional research profile, and prepares you for careers in research, industry leadership, or technology innovation.
AI‑Enabled Digital Twin for Preventive Care PhD Scholarship Summary
- Host Country: Australia
- Host Institution: Macquarie University
- Scholarship Name: AI‑Enabled Digital Twin for Preventive Care PhD Scholarship
- Study Level: Doctoral (PhD) – direct‑entry three‑year programme
- Coverage: Full tuition fee offset; annual living stipend
- Stipend Value: AUD 39,700 per year (indexed, full‑time)
- Application Deadline: 30 April 2026
- Programme Start: Typically Semester 3/second half of 2026
- Eligible Applicants: Domestic and international candidates admitted into the PhD programme in Engineering or Information Technologies
Scholarship Benefits
- Fully cover tuition fees for three years.
- Provide an annual living stipend of approximately AUD 39,700.
- Support industry‑linked research in AI and digital health.
- Offer access to advanced research facilities and expert supervision.
- Enhance academic and professional credentials in AI, systems engineering, and healthcare.
Eligibility Criteria
Applicants must satisfy the following conditions:
- Gain admission to a full‑time PhD programme at Macquarie University.
- Possess a relevant bachelor’s or master’s degree with a strong academic record.
- Demonstrate research aptitude in AI, systems engineering, machine learning, or related fields.
- Enroll full‑time and engage actively in the scholarship research project throughout its duration.
- Meet any English‑language proficiency requirements set by the university.
Required Documents
Prepare and submit the following:
- Academic transcripts and degree certificates.
- Research‑focused CV or résumé.
- Statement of research intent or motivation letter describing your fit for the project.
- Evidence of English language proficiency, if required.
- Any additional documents required by the PhD admission process at Macquarie.
Application Process & Timeline
- Select the PhD programme related to AI‑enabled digital twin systems at Macquarie University.
- Prepare and submit your PhD admission application through Macquarie’s official portal.
- Send an expression of interest (EOI) to the project supervisor (e.g., †Professor Mohsen Asadnia†) before applying formally.
- Complete the formal university application and attach all supporting documents.
- Await your admission and scholarship decision from Macquarie University.
- If offered, accept the scholarship and prepare for study, including visa and travel arrangements to Sydney, Australia.
