Event Based Imaging for Space Situation Awareness
Scholarship code: 2019_048_MARCS
Domestic and International Applicants
Lead researcher: Associate Professor Greg Cohen
About the project
The International Centre for Neuromorphic Systems (ICNS)(opens in new window) invites applications from highly motivated graduates seeking to undertake a Doctor of Philosophy (PhD) degree to research the use of neuromorphic event-based vision sensors for tracking objects in space, such as satellites, space junk, and asteroids. Your research will focus on developing novel algorithms to process that data from these cameras in an efficient manner and in such a way that the processing can be implemented in low-power hardware to be used in space. With this project you will be part of the team that launches one of these sensors into space for the first time. We expect that the tracking algorithms developed will have many potential application areas outside of space monitoring.
The International Centre for Neuromorphic Systems is a new centre within the MARCS Institute for Brain, Behaviour and Development.(opens in new window) The Centre is explicitly interdisciplinary, by combining electrical engineering, computer science, signal processing, and neuroscience. ICNS’s focus is on developing Neuromorphic Engineering solutions to existing problems. The Centre has strong international partnerships within the Neuromorphic engineering community.
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.
- All international candidates are required to hold an Overseas Student Health Care (OSHC) (opens in new window) insurance policy covering the duration of their studies in Australia, and MARCS will cover the cost of this insurance (single policy only).
- Support for conference attendance, fieldwork and additional costs as approved by MARCS.
- Access to the extensive range of MARCS specialised equipment and laboratory facilities.
- Additional funding to support training and equipment purchases.
- A rich environment of support and academic expertise via supervisory panels, seminars, colloquia, international and industry collaborations.
We welcome applicants from a range of backgrounds, who are keen to apply their skills to the area of event based imaging. In particular, the project is suitable for candidates with strong interests in event-based sensors applied to the fields of space situational awareness (SSA) and related aerospace applications.
The successful applicant should:
- hold qualifications and experience equal to one of the following (i) an Australian First Class Bachelor (Honours) degree, (ii) coursework Masters with at least 25% research component, (iii) Research Masters degree, or (iv) equivalent overseas qualifications.
- have demonstrated research experience in neuromorphic engineering or related fields.
- have a background in signal processing with strong programming skills in Matlab, Python, and C++, and an interest in signal processing in biology. Demonstrated expertise using Verilog or VHDL for FPGA programming is beneficial.
- be enthusiastic and highly motivated to undertake further study at an advanced level.
How to apply
Follow the step-by-step instructions on the how to apply for a project scholarship.
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; Associate Professor Greg Cohen: email@example.com
Please contact the Graduate Research School via email at firstname.lastname@example.org for more information.
Applications Close 31 March 2021
Applications close at 11.59 Australian Eastern Standard Time (AEST).
Scholarship reference code: 2019_048_MARCS