Computational Imaging

School of Computer, Data and Mathematical Sciences

Lead Researcher: Professor Paul Hurley

About the project

Computational imaging is the process of obtaining images using computational extensive algorithms from acquired sensed information.

The primary imaging modes the candidate will explore include neuromorphic imaging systems, radio astronomy and ultrasound.

One application of computational imaging is in the field of event-driven cameras, which are exciting technology that do not acquire full images like traditional cameras, but record only intensity changes when they occur. The International Centre for Neuromorphic Systems(opens in a new window) at Western Sydney University has been adapting them to perform Neuromorphic space imaging.

This PhD scholarship will help develop specific knowledge extraction algorithms. It goes from modelling to algorithm testing using real data, working together with a world-class team.

What does the scholarship provide?

  • Domestic candidates will receive a tax-free stipend of $30,000(AUD) per annum for up to 3 years to support living costs, supported by the Research Training Program (RTP) Fee Offset.
  • International candidates will receive a tax-free stipend of $30,000(AUD) per annum for up to 3 years to support living costs. Those with a strong track record will be eligible for a tuition fee waiver.
  • Support for conference attendance, fieldwork and additional costs as approved by the School.

International candidates are required to hold an Overseas Student Health Care (OSHC)(opens in a new window) insurance policy for the duration their study in Australia. This cost is not covered by the scholarship.

Eligibility criteria

The successful applicant should:

  • hold qualifications and experience equal to a Masters in the fields of Data Science, Computer Science, Electrical Engineering, Mathematics, Physics or similar fields.
  • be knowledgeable in topics such as python programming, mathematical signal processing, probability, statistics and machine learning.
  • have the ability to think abstractly and deeply with good mathematical skills.
  • have the ability to work in a team of highly motivated engineers, computer and data scientists, and applied mathematicians.
  • be highly motivated to tackle challenging problems, with a desire to learn and grow.

International applicants must demonstrate English language proficiency.(opens in a new window)

How to apply

Follow the step-by-step instructions on the how to apply for a project scholarship(opens in a new window) page.

Incomplete applications or applications that do not conform to the above requirements will not be considered.

For questions and advice about the research project, please contact the Lead Researcher;
Professor Paul Hurley:

For questions and advice about the application process, please contact the Graduate Research School:

Applications close 31 May 2020

*Applications close at 11.59pm Australian Eastern Standard Time (AEST).

Scholarship reference code: 2019_089_SoCDMS