RMIT full HDR/PhD scholarship

RMIT full HDR/PhD scholarship

Enhancing AI-driven clinical decision-making by improving accuracy, sensitivity, and reliability in healthcare through advanced AI methodologies.

This scholarship supports research in AI-driven clinical decision-making, focusing on improving accuracy, sensitivity, and reliability in healthcare applications. The project is ideal for candidates interested in Generative AI, Natural Language processing, and healthcare innovation.

Expand all sections

$35,886

Applications are now open.

31/10/2026

1 (one)

Standard RMIT PhD enrolment requirement. Open to Domestic and International Students.

a) Applicants are required to submit an expression of interest (EOI) following the instructions detailed on the participating university’s webpage.

b) The EOI is assessed by the supervisory team and shortlisted applicants are interviewed. 

c) The supervisory team nominates a preferred applicant and informs iPhD office.

d) The nominated applicant will be instructed to apply. 

e) The application is then assessed by the host university against PhD admission criteria. 

f) The university will issue a letter of offer for the program if all conditions have been satisfied.

Contact the nominated supervisors for the project listed above.  

Name of supervisor: Professor Karin Verspoor 

Email: karin.verspoor@rmit.edu.au

Name of supervisor: Dr Fatemeh Shiri

Email: fatemeh.shiri@rmit.edu.au

Royal Melbourne Institute of Technology, School of Computing Technologies

 

 

aboriginal flag
torres strait flag

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.

More information