The AI Powered Teaching Assistant PhD Scholarship is a fully funded Higher Degree Research (HDR) scholarship offered by the University of New South Wales (UNSW Sydney), Australia. The scholarship is hosted by the School of Computer Science and Engineering within the Faculty of Engineering. It supports doctoral research on the development of artificial intelligence technologies for education. Moreover, the project investigates how AI-powered teaching assistants can improve learning, teaching, and student engagement in higher education. Through this research, scholars contribute to the development of intelligent educational technologies that support both students and educators.
Background and Purpose
The project examines the growing role of artificial intelligence in modern education. It explores how AI-powered teaching assistants can function as tutors, learning assistants, consultants, and intelligent teaching partners. Furthermore, researchers develop innovative AI technologies that enhance learning experiences while supporting educators in delivering more effective instruction. The project may involve designing advanced AI models, developing educational technologies, evaluating learning outcomes, studying human-AI interaction, and assessing the effectiveness of AI-assisted teaching approaches. In addition, the research combines expertise in artificial intelligence, machine learning, natural language processing, educational technology, human-computer interaction, and learning analytics. As a result, the project advances intelligent educational systems that promote personalized learning and improve educational accessibility.
AI Powered Teaching Assistant PhD Scholarship Benefits
The scholarship provides a living stipend of AUD 37,684 per annum based on the 2024 indexed rate for up to 3.5 years. In addition, eligible international students receive a Tuition Fee Scholarship. Scholars work under the supervision of Dr. Yuchao Jiang and gain access to advanced research facilities and interdisciplinary collaboration within the School of Computer Science and Engineering. Consequently, recipients develop strong research, technical, and professional skills while working on innovative applications of artificial intelligence in education.
Eligibility Criteria
Applicants must satisfy the admission requirements for a PhD at UNSW and demonstrate excellent academic achievement and strong research potential. Both domestic and international applicants are eligible to apply. Furthermore, applicants should have an academic background in computer science, artificial intelligence, machine learning, software engineering, educational technology, data science, or a related discipline. A strong interest in AI-driven educational technologies and intelligent learning systems will strengthen an application.
AI Powered Teaching Assistant PhD Scholarship Application Process
Applicants should first email their curriculum vitae and academic transcripts directly to the project supervisor before submitting a formal application for the UNSW Higher Degree Research program. After receiving a positive response, they should complete the university’s PhD admission process and submit all required supporting documents. Furthermore, applicants should clearly demonstrate how their academic qualifications and research interests align with the objectives of the project. Therefore, careful preparation and early communication with the supervisor can improve the likelihood of selection.
Opportunities for Scholars
The scholarship provides an excellent opportunity to conduct cutting-edge interdisciplinary research at the intersection of artificial intelligence and education. Moreover, scholars collaborate with leading researchers while designing intelligent teaching systems that improve learning quality, personalize education, and increase accessibility. They also gain expertise in machine learning, natural language processing, educational technology, and human-computer interaction through research with practical applications. Consequently, graduates are well prepared for careers in academia, educational technology, artificial intelligence research, software development, digital learning industries, and innovation-driven technology organizations.
