The AI-Powered Teaching Assistant PhD Scholarship 2026 is a fully funded Doctor of Philosophy (PhD) scholarship offered by UNSW Sydney through the School of Computer Science and Engineering. Designed to explore the future of AI in education, the project focuses on the design, development, implementation, and evaluation of AI-powered teaching assistants that enhance learning, tutoring, assessment, and student engagement. Successful applicants receive an annual living stipend of AUD 37,684 for up to 3.5 years, while eligible international students also receive a Tuition Fee Scholarship.
About the AI-Powered Teaching Assistant PhD Scholarship
UNSW Sydney offers this scholarship to support doctoral research on the emerging role of AI teaching assistants in higher education. As artificial intelligence becomes increasingly integrated into teaching and learning, AI systems now serve as tutors, teaching assistants, consultants, and intelligent learning companions, supporting both students and educators.
Researchers investigate how AI can improve educational outcomes through the design, implementation, and evaluation of intelligent teaching tools. Students conduct research in areas such as:
- Artificial Intelligence in Education (AIED)
- Intelligent Tutoring Systems
- Large Language Models (LLMs)
- Educational Technologies
- Learning Analytics
- Human–AI Interaction
- Educational Data Science
- AI-Assisted Assessment
- Adaptive Learning Systems
- Digital Learning Platforms
Successful PhD candidates work under the supervision of Dr. Yuchao Jiang within the School of Computer Science and Engineering while contributing to research that advances AI-driven education.
Why Choose The AI-Powered Teaching Assistant PhD Scholarship?
This scholarship allows you to conduct cutting-edge research at the intersection of artificial intelligence and education.
You benefit from:
- Fully funded PhD research
- Annual living stipend
- Tuition Fee Scholarship for eligible international students
- Supervision by experienced AI researchers
- Access to advanced AI research facilities
- Opportunities to publish research in leading journals
- Collaboration with researchers in artificial intelligence and education
- Professional development and research training
- Excellent career opportunities in academia, educational technology, and AI industries
Graduates pursue careers in:
- Artificial Intelligence
- Educational Technology
- Learning Analytics
- Software Engineering
- Data Science
- Human–Computer Interaction
- Academic Research
- AI Product Development
AI-Powered Teaching Assistant PhD Scholarship Summary
- Host Country: Australia
- Host University: UNSW Sydney
- School: School of Computer Science and Engineering
- Scholarship Name: AI-Powered Teaching Assistant PhD Scholarship
- Study Level: PhD
- Scholarship Type: Fully Funded PhD Scholarship
- Research Area: Artificial Intelligence, Education Technology, Intelligent Tutoring Systems, Machine Learning
- Study Mode: Full-Time
- Scholarship Duration: Up to 3.5 years
- Annual Living Stipend: AUD 37,684 per annum
- International Tuition Support: Tuition Fee Scholarship for eligible international students
- Eligible Applicants: Domestic and International Students
- Supervisor: Dr. Yuchao Jiang
- Application Mode: Expression of Interest by email
- Selection Basis: Academic excellence, research potential, and suitability for the project
Scholarship Benefits
The scholarship provides:
- AUD 37,684 annual living stipend for up to 3.5 years
- Tuition Fee Scholarship for eligible international students
- Access to world-class AI research facilities
- Supervision by leading researchers in artificial intelligence
- Professional research training
- Opportunities to publish in international journals and conferences
- Collaboration within the UNSW AI research community
Recipients gain valuable experience in AI research while developing expertise in intelligent educational technologies and advanced machine learning applications.
Eligibility Criteria
Applicants must:
- Meet the admission requirements for a PhD at UNSW Sydney
- Demonstrate excellent academic achievement and strong research potential
- Meet UNSW English language requirements where applicable
The scholarship welcomes graduates from the following disciplines:
- Computer Science
- Artificial Intelligence
- Machine Learning
- Data Science
- Software Engineering
- Information Technology
- Educational Technology
- Human–Computer Interaction
- Learning Sciences
- Related disciplines
Relevant experience in AI, machine learning, natural language processing, educational technologies, or software development will strengthen an application.
Required Documents
Applicants should prepare:
- Curriculum Vitae (CV)
- Academic transcripts
Additional documents may be requested during the Higher Degree Research admission process if shortlisted.
Application Process & Timeline
Follow these steps:
- Review the project description and confirm that your research interests align with the project.
- Prepare your CV and academic transcripts.
- Email your application documents to Dr. Yuchao Jiang at [email protected].
- Discuss your research interests with the supervisor if requested.
- If shortlisted, complete the formal UNSW Higher Degree Research admission application.
- Submit all required admission documents.
- Accept the scholarship offer and begin your PhD research.
