The University of Wollongong Australia invites applications for the PhD Scholarship in Statistical / Machine Learning open to domestic and international students who are able to commence their PhD studies at the University of Wollongong in 2018.

An exciting PhD scholarship is available in the School of Mathematics and Applied Statistics (SMAS) at the University of Wollongong Australia in the area of spatio temporal modelling of environmental phenomena using techniques inspired from machine learning.

The successful applicant will explore the use of statistical deep-learning models for
environmental processes. Challenges unique to this application domain motivate the need for new mathematical and computational developments. Specifically, the candidate will mathematically develop deep-learning models that operate under physical constraints, and devise approximate Bayesian inference techniques that can deal with these complex models and large datasets. In particular, inference needs to be made from large datasets originating from satellite remote-sensing instruments, that may have different spatial footprints.
Worth of Award
  • The UOW scholarship is AUD$26 300 per year for three years full time.
  • An additional top up scholarship of AUD$3,700 per year for three years full time is also available for outstanding candidates.
  • Tuition fees for international students (for up to 4.5 years) will be waived.
  • The successful applicant will have the opportunity to work with both Australian and international collaborators, and extra funding is available for conference travel.
  • Applications are invited from domestic and international students who are able to commence their PhD studies at the University of Wollongong in 2018.
  • Applicants should hold, or be close to completing, an Honours 1 undergraduate degree or a Masters degree in Statistics, Machine Learning, or a closely related field.
  • The ideal candidate will have an interest in the development of statistical learning/machine learning methodology and computation, excellent mathematical and programming skills, and an interest in using them to model and predict environmental phenomena.
  • Self-motivation, a strong research potential, and good oral and written communication skills are essential criteria.

How to Apply

  • If you are interested in applying for this scholarship, please contact Dr Andrew Zammit Mangion via email: [email protected]
  • Applications must include a copy of your CV detailing your previous education experience and academic transcripts.
  • It is expected that the successful applicant will be available to commence this scholarship by 31 October 2018

Deadline: applications close 1 May 2018.

Click here for more details and to apply

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