AI‑Enabled Digital Twin for Preventive Care PhD Scholarship – Eligibility, Benefits & How to Apply

🌟 About the Scholarship

Opens
Closes30 Apr, 2026

The AI-enabled Digital Twin for Preventive Care Scholarship offers a fully funded PhD research opportunity at Macquarie University. The scholarship provides financial support for a three-year direct-entry PhD program. This funding allows students to focus entirely on advanced research in AI-enabled healthcare systems. In addition, scholars collaborate with academic supervisors and industry engineers throughout the project. Consequently, they gain hands-on experience in machine learning deployment, digital twin architecture, and enterprise system integration.

🎓 Scholarship Snapshot

Here’s everything you need at a glance: the documents to prepare, what the award covers, and key dates so you don’t miss a beat. From transcripts and essays to tuition and living support, this gives you a clear picture of the AI‑Enabled Digital Twin for Preventive Care PhD Scholarship before you apply.

Eligible Countries

Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Benin, Bhutan, Bolivia, Bosnia-Herzegovina, Botswana, Brazil, Brunei Darussalam, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Cape Verde, Central African Republic, Chad, Chile, China, Colombia, Comoros, Costa Rica, Côte d’Ivoire, Croatia, Cuba, Cyprus, Czech Republic, Democratic Republic of the Congo, Denmark, Djibouti, Dominica, Dominican Republic, East Timor, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Greenland, Grenada, Guam, Guatemala, Guinea, Guinea Bissau, Guyana, Haiti, Honduras, Hong Kong, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Kosovo, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Niue, North Korea, North Macedonia, Norway, Oman, Pakistan, Palau, Palestine, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Puerto Rico, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Scotland, Seirra Leone, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Korea, South Sudan, South-Africa, Spain, Sri Lanka, Sudan, Suriname, Swaziland, Sweden, Switzerland, Syrian Arab Republic, Taiwan, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tokelau, Trinidad-Tobago, Tunisia, Turkey, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States, Uruguay, Uzbekistan, Vanuatu, Vatican City, Venezuela, Vietnam, Wales, Yemen, Zambia, Zimbabwe

Study Fields

Engineering, Information Technology

GPA / Grade

75%

Languages

IELTS 6.5, PTE A 52, TOEFL iBT 86

Tests

Study Levels

Doctoral, PhD

Total Scholarships

Transcripts

Yes

Degrees

Yes

Essay

Yes

Passport ID

Recommendation Letters

Yes (2)

Result Date

Program Start

August 2026

Tuition Fee

Covered

Living Allowance

Yes

AUD$39,700/year

Travel Allowance

Research Grant

Health Insurance

Visa Assistance

📞 Contact Information

Call if you want a quick answer, send an email for detailed questions, or follow the university’s social channels to keep an eye on updates and reminders. Use whatever fits your style and timezone.

Scholarship Summary

Award AmountAUD$39,700/year
Deadline30 Apr, 2026
LevelDoctoral, PhD
InstitutionMacquarie University
CountryAustralia
ModeOnline
TypeFully funded

Apply Now

The AI‑Enabled Digital Twin for Preventive Care PhD Scholarship offers a fully funded PhD research opportunity at Macquarie University. The university provides this scholarship in partnership with Lagrange.ai. The program targets students who want to work at the intersection of artificial intelligence, systems engineering, and healthcare technology. Moreover, it focuses on developing advanced digital twin systems for aged care and rehabilitation facilities. Through this initiative, the university supports innovative research that integrates AI solutions into modern healthcare environments.

Background and Purpose

Macquarie University established this scholarship to advance research in AI-driven healthcare technologies. Digital twin technology already supports industries such as manufacturing and logistics. However, researchers now adapt it for healthcare applications. Therefore, this project aims to build scalable digital twin systems that simulate healthcare environments and patient health trajectories. The research will integrate real-time data from IoT sensors with predictive analytics models. As a result, healthcare professionals can make faster and more accurate decisions.

AI-Enabled Digital Twin for Preventive Care PhD Scholarship Benefits

The scholarship provides financial support for a three-year direct-entry PhD program. This funding allows students to focus entirely on advanced research in AI-enabled healthcare systems. In addition, scholars collaborate with academic supervisors and industry engineers throughout the project. Consequently, they gain hands-on experience in machine learning deployment, digital twin architecture, and enterprise system integration.

Eligibility Criteria

Applicants must meet the admission requirements for a PhD program in engineering or information technology at Macquarie University. Both domestic and international students may apply. Furthermore, candidates should demonstrate strong academic performance and a background in relevant technical fields such as AI, data science, or systems engineering. The selection committee evaluates research potential, technical expertise, and overall suitability for the project.

AI-Enabled Digital Twin for Preventive Care PhD Scholarship Application Process

Applicants must first apply for admission to a relevant PhD program at Macquarie University. They must also express interest in the AI-enabled Digital Twin research project. After reviewing academic records and research experience, the university shortlists qualified candidates. Selected applicants may then attend interviews with academic and industry supervisors before the final selection.

Opportunities for Scholars

This scholarship provides valuable opportunities to work on cutting-edge healthcare technology. Scholars develop predictive models for fall prevention, optimize staff deployment, and design decision-support tools for healthcare management. Additionally, they build scalable architectures that manage real-time sensor data and integrate enterprise systems. Consequently, graduates gain strong expertise in AI-driven healthcare innovation and advanced digital technologies.

Frequently Asked Questions (FAQs)

Who can apply?

Both domestic and international students eligible for a direct‑entry three‑year PhD are invited to apply.

What are the application requirements?

Applicants should submit an expression of interest to the supervisor before completing the formal application process.