SCEM: Theory and Data Science of Computational Imaging

School of Computing, Engineering and Mathematics

Scholarship code: 2019-089

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

1. Contact Professor Paul Hurley (p.hurley@westernsydney.edu.au) to discuss your eligibility, the project requirements and your intention to apply.

2. Review the research scholarships frequently asked questions.(opens in a new window)

3. Submit an online application for admission.(opens in a new window)

4. Complete the project scholarship application form (PDF, 89.74 KB).(opens in a new window)

5. Compile your CV, contact information for two referees and a one-page proposal stating how your research interests align with the project aims.

6. Submit your scholarship application form and any supporting documentation to the Graduate Research School as follows:

  • Use the email subject line: Application_2019_089_SCEM
  • Submit to grs.scholarships@westernsydney.edu.au
  • All attached documents must be submitted as PDF.
  • In the body of your email, include your full name, your student ID (if you are a current or previous Western Sydney University student) and the full title of the scholarship.

Applicants who do not submit an online application for admission will not be considered.

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

Please contact the Graduate Research School via email at grs.scholarships@westernsydney.edu.au for more information.

Applications close 31 January 2020

*Applications close at 11.59pm Australian Eastern Daylight Time (AEDT).