South Western Sydney Clinical School

PhD Scholarship in Machine Learning for Medical Image Analysis

University of New South Wales, Faculty of Medicine (
Ingham Institute for Applied Medical Research (

Applications close 30 November. 

We are seeking a highly motivated student wishing to pursue a PhD applying automation and machine learning concepts to real-world problems in cancer therapy. This opportunity is funded through the Cancer Institute NSW and Liverpool Hospital Cancer Therapy Centre and will involve the chance to work with an experienced multidisciplinary team of computer scientists, engineers, oncologists and physicists through the Ingham Institute for Applied Medical Research. Applications are open now for the scholarship starting in the first semester of 2020. Interested candidates with a background in computer science, engineering, image processing, mathematics, statistics, physics or related industry are encouraged to apply.

Project: The development of validated image biomarkers to guide cancer therapy is dependent on large and diverse data sets. In this project a collaborative network of cancer therapy clinics with routinely collected radiotherapy data is arranged to use machine learning and deep learning techniques to develop predictive models that can aid treatment decisions. The candidate will work with our multidisciplinary team on a privacy-preserving distributed deep learning framework to train models on the medical images without the transmission of individual patient data sets.

Qualifications: Prospective students should have previous studies in engineering, computer science, mathematics, statistics or physics or related discipline. Evidence of a substantial research project within the relevant degree should be provided (at least 3-month project in a Honours or Masters which required a written report). Background knowledge in machine learning or data science and project experience in software development is desirable.

Scholarship rate: $28,092 in 2020 and indexed to match government Research Training Program (RTP) rate.

Domestic/Local students are encouraged to apply through the process outlined below.

International students are encouraged to apply for the University International Postgraduate award (UIPA)/Tuition Fee Scholarship (TFS) as well as providing the information below.

For the University admissions procedure, consult

To apply for this scholarship please send the following to the contact below in single PDF document

  • Cover letter.
  • Curriculum Vitae highlighting publications or experience and with contact details of at least two referees.
  • Academic transcripts.

For further information:

Contact: Dr Matthew Field


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