PhD Scholarship in Machine Learning

Develop and apply machine learning and bioinformatic algorithms in biomedical research.

Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning, statistical and bioinformatic algorithms for the analysis of microscopic images and data obtained by various biochemical and biological assays.     

You will be part of and mentored by a multidisciplinary team, including members specialising in biology, microfluidics, machine learning and clinical research from RMIT University and Leading Technology Group (LTG). LTG is an Australian group of medical research companies that spans research equipment and reagents, hospital software and clinical trials. LTG'S research mission is to accelerate medical research and they hope to achieve that goal through microfluids and machine learning in this collaboration with RMIT.

The scholarship will provide a stipend of $31,885 per annum. The duration of this scholarship is 3 years with the possibility of a six-month extension.

  • Highly motivated and an entrepreneurial spirit
  • Masters or Honours degrees in computer science or engineering
  • Strong computer science skills and some experience with statistical, machine learning, and image processing techniques
  • Strong candidates with electrical, mechanical, and biomedical engineering backgrounds can also apply.

To be eligible for this scholarship, you must:

  • Meet the entry requirements for the Doctor of Philosophy
  • Meet research scholarship eligibility criteria.

Please send expressions of interest and inquiries to Associate Professor Khashayar Khoshmanesh at khashayar.khoshmanesh@rmit.edu.au. Expressions of interest should contain the following information:

  • A one-page summary justifying the applicant’s suitability for the role
  • An academic CV
  • Transcript of qualifying degree.

Applications are now open.

Applications will close when a candidate is selected.

This scholarship will be governed by RMIT University's Research Scholarship Terms and Conditions.

Associate Professor Khashayar Khoshmanesh at khashayar.khoshmanesh@rmit.edu.au

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 'Luwaytini' by Mark Cleaver, Palawa.