PhD Scholarships

The Australian Institute for Machine Learning is recognised as one of the top artificial intelligence and computer vision research institutions globally.

Centre for Augmented Reasoning scholarships

Our Centre for Augmented Reasoning scholarships are funded by the Department of Education, Skills and Employment to support full-time PhD students who are commencing research in machine learning with a focus on augmented reasoning.

Eligibility

Applicants must be Australian citizens or permanent residents of Australia; or international students who are acceptable as candidates for a PhD degree at the University of Adelaide. Female applicants are strongly encouraged to apply.

Scholarships

There are two (2) scholarships available, to be paid at a rate of A$40,000 per annum. They are likely to be tax exempt, subject to Australian Taxation Office approval.

Applications

To apply, expressions of interest should be submitted to Ms Lina Court lina.court@adelaide.edu.au with the name of scholarship in the subject heading. Positions will be closed once filled.

Please ensure you include all of the following documents:

  1. Completed Expression of Interest Form
  2. Evidence of Australian or New Zealand citizenship, or Australian permanent resident status (if applicable)
  3. Academic transcripts
  4. Translations of non-English documentation
  5. Evidence of English language proficiency
  6. Curriculum vitae

Additional information

For further information specific to each research project, please contact the principal supervisor identified below. For general information, contact Ms Lina Court: lina.court@adelaide.edu.au

Research projects

  • Explainable and Semantically Meaningful Deep Learning Models for Medical Risk Prediction and Diagnostics
    Project title Project description Lead researcher
    Explainable and Semantically Meaningful Deep Learning Models for Medical Risk Prediction and Diagnostics

    In this project at the Centre for Augmented Reasoning we aim to build more robust and explainable abnormality prediction models. We expect this project will lead to the adoption of ML models in clinical routine by estimating risks based on more reliable features and providing explainability about the prediction. The data modalities for this project may include multi-modal medical data such as imaging data, structured health record data, and possible medical reports.

    In the field of preventive medicine, we expect the markers produced by the risk prediction model will guide other scientific fields onto novel directions to tackle abnormality development.

    About the scholarship

    PhD Scholarship A$40k per annum. This is a standard 3-year scholarship with a possible 4-year scholarship available to suitable applicants to encourage students from other disciplines, especially women, who wish to undertake additional training in machine learning methods.

    To find out more contact Dr Johan Verjans and Dr Zhibin Liao at the Australian Institute for Machine Learning (AIML) to discuss.

    This Scholarship is within CAR RESEARCH THEME 4: Machine Learning Driven Science Discovery.

    Student requirements

    For this project, a student with a medical image processing, computer vision, and/or machine learning background is preferred. The student should have an Honours or Master Computer Science degree, biomedical / engineering equivalent degrees are acceptable, but strong programming (Python) skill is required.

    Dr Johan Verjans

    Dr Zhibin Liao

     

     

  • Building Causal Models for Predicting Treatment Outcome in Patients - Towards the Automated Bioinformatician
    Project title Project description Lead researcher
    Building Causal Models for Predicting Treatment Outcome in Patients - Towards the Automated Bioinformatician

    Deep learning has had significant interest in a multitude of medical applications. There is an increased interest in learning more explainable models, including causal models. In this project at the Centre for Augmented Reasoning, we aim to use machine learning and computer vision to achieve the automation of core capabilities of a bioinformatician, which could lead to a real-time data and patient characterisation platform for researchers and clinicians.

    About the scholarship

    PhD Scholarship $40k per annum. This is a standard 3-year scholarship with a possible 4-year scholarship available to suitable applicants to encourage students from other disciplines, especially women, who wish to undertake additional training in machine learning methods.

    To find out more contact Dr Johan Verjans and Professor Javen Shi at the Australian Institute for Machine Learning (AIML) to discuss.

    This scholarship is within CAR RESEARCH THEME 4: Machine Learning-Driven Science Discovery.

    Student requirements

    For this project, a student with a medical image processing, computer vision, and/or machine learning background is preferred. The student should have an Honours or Master Computer Science degree, biomedical / engineering equivalent degrees are acceptable, but strong programming (Python) skill is required.

    Dr Johan Verjans

    Professor Javen Shi

    Dr Mohsen Dorraki

     

 

Other scholarships

The University of Adelaide offers a range of scholarships to undergraduate and postgraduate students. These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.

University Scholarships

The University offers a wide range of PhD scholarships for incoming students. A full list for scholarships is available here.