PhD Scholarship

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PhD Scholarship

Western Sydney University
Country of Position: 
Contact Name: 
Prof. Paul Hurley
Subject Area: 
Signal Processing Theory and Methods
Computational Imaging
Image, Video and Multidimensional Signal Processing
Start Date: 
October 01, 2019
Expiration Date: 
October 31, 2019
Position Description: 

Algorithms for Event-Driven Camera Analysis

School of Computing, Engineering and Mathematics

Scholarship code: 2019-089

About the project

Event-driven cameras 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 at Western Sydney University has been adapting them to perform Neuromorphic space imaging.

This PhD scholarship builds on this work to help develop the correct abstraction and a theory so as to improve 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 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, Applied Mathematics, Electrical Engineering or similar fields.
  • have programming experience (ideally Python)
  • be knowledgeable in topics such as signal processing, algorithms, probability and statistics.
  • have the ability to think abstractly and deeply.
  • 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.

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