PhD Scholarship in AI and Education

PhD Scholarship in AI and Education

This research aims to investigate and develop innovative solutions that enhance education and training in the era of AI and Generative AI (GenAI), focusing on how these technologies can support learning, assessment, and skill development.

This PhD project offers an exciting opportunity to conduct interdisciplinary research at the intersection of Artificial Intelligence (AI), Learning Analytics, and Education. The project will explore how AI technologies, including Large Language Models (LLMs), multimodal learning analytics, and generative AI (GenAI), can transform feedback, assessment, and reflection practices in both healthcare training and broader educational contexts.

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A stipend of $35,886 per annum pro rata (full-time study), with a possible extension of six months. This amount is subject to indexation annually.
International candidates in receipt of this scholarship are also awarded an RTP International Tuition Fee Offset Scholarship (RIFOS) or an RMIT Research International Tuition Fee Scholarship (RRITFS). All local candidates, Australian and New Zealand citizens or permanent residents are provided with an RTP Fee Offset scholarship.
Applicants in receipt of an RTP Fee Offset scholarship are not required to pay tuition fees for the maximum duration of their candidature. Paid sick, maternity and parenting leave (within the limits of the Scholarship Terms and Conditions).

Applications are now open.

31/12/2025

1 (one)

  • Hold a first-class Honours degree (or equivalent) in a relevant field such as Computer Science, Information Technology, Data Science, Artificial Intelligence, Educational Technology, Health Informatics, or a related discipline.  Demonstrate strong programming skills (e.g., Python, R, or similar).
  • Have experience or a strong interest in AI (e.g., machine learning, natural language processing, multimodal data analysis, large language models, deep learning) and Human-Computer Interaction (HCI) technologies and methods (e.g., XR/VR, information visualisation, data storytelling). 
  • Have a clear interest in the intersection of AI and education. 
  • Provide evidence of strong oral and written communication skills. 
  • Experience with qualitative or mixed-methods research is desirable but not mandatory.

Applicants should contact Dr. Vanessa Echeverria via vanessa.echeverria@rmit.edu.au with the following information to discuss eligibility:

  • An academic CV that includes any publications/awards, and the contact details of two referees.
  • A copy of electronic academic transcripts.
  • A cover letter explaining the applicant's suitability for the project.
  • A research statement of 2 pages where the potential candidate outlines the research problem and question(s) to be studied, proposed methods, and a brief reference list.
  • For international applicants, evidence of English proficiency may be required.

This is an ideal opportunity for candidates with interests in AI in education, educational data science, human-computer interaction, or healthcare simulation technologies. Prior research experience in HCI, AI and education-related areas is highly desirable. Please contact Dr Vanessa Echeverria for further information: vanessa.echeverria@rmit.edu.au

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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

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