PhD Opportunities

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Please feel free to contact any of the researchers below for more information on PhD opportunities with them, please include:

  • your area(s) of interest for a PhD
  • your CV listing any degrees, awards, prior publications, and work experience
  • your academic transcripts for previous coursework (a certified copy will be needed when making a formal application, but for initial enquiries this is not needed)
  • a list of three references who may be contacted


Supervisor Name
Where to Apply
PhD Supervision Areas
 Bob Williamson  ANU
  • Learning theory
 James Bailey  University of Melbourne
  • Data mining,
  • Applications in health informatics and bioinformatics
 Tim Baldwin  University of Melbourne
  •  Computational linguistics
 Richard Nock


  • Optimisation
  • Manifold learning & Information Geometry
  • Applications of Machine Learning (Computer Vision, Systems Biology)

 Tiberio Caetano


 University of Sydney

  • Graphical models
  • Structured prediction
  • Social networks
  • Large-scale learning

 Fang Chen


 University of Sydney

  • Human-computer interfaces
  • Cognitive load management
 Edwin Bonilla


  • Non-parametric Bayesian methods
  • Gaussian processes
  • Efficient inference in Large-scale probabilistic models
  • Bayesian methods for active learning of user preferences and recommender systems
  • Applications of probabilistic models in computer vision, document analysis and dynamical systems

 Stephen Gould


  • Machine learning for computer vision

 Chris Leckie

 University of Melbourne

  • Clustering
  • Graph mining
  • Scalable data mining
  • Applications in network intrusion detection
  • Wireless sensor networks and bioinformatics
 Fabio Ramos  University of Sydney
  • Field Robotics
  • Machine learning
  • Bayesian statistics
  • Probabilistic networks
 Justin Domke  ANU
  • Graphical models
  • Structured prediction
  • Optimisation for learning
  • Learning for computer vision

 Mark Reid


  •  Learning theory

 Scott Sanner


  • Structured probabilistic inference/graphical models
  • Sequential decison-making
  • Social media recommendation
  • Statistical relational learning

 Hanna Suominen


 University of Canberra

  • Machine learning
  • Mathematical modeling and human language technologies related to health and wellness

 Christfried Webers


  • Differential geometry
  • Numerical linear algebra
  • Optimisation on Manifolds
 Lexing Xie  ANU
  • Multimedia, machine learning for image/video
  • Social media analysis
  • Spatial-temporal models


Gabriela Ferraro


  • Natural language Processing
  • Computational Linguistics