[ASA] PhD Internship: The Eyes and the Sky - Medical Image Analysis with Astrophysics

Christopher Fluke cfluke at swin.edu.au
Tue Mar 26 15:29:15 AEDT 2019

The following internship opportunity may be of interest to astronomy and astrophysics PhD students nearing the end of candidature.

Full details are on the APR.Intern web-site:

Applications close: 10 April 2019

Project Background

The Centre for Eye Research Australia (CERA) has successfully applied hyperspectral imaging, a technology initially developed by NASA for satellite imaging of the earth, for the detection of retinal disease. In a world first, CERA adapted this approach for the detection of retinal biomarkers of Alzheimer’s disease. A central component of this work has been the application of advanced computational approaches, including machine learning, to image processing and analysis. In doing so CERA have had the fortune of collaborating with researchers from the Centre for Astrophysics and Supercomputing at Swinburne University. Together they’ve applied insights from methods of signal processing used in astrophysics to the challenges of hyperspectral retinal image analysis.

Additionally, CERA have explored ways in which retinal image processing methods may inform computational challenges in astrophysics. This is a valuable collaboration that has great potential to yield novel transdisciplinary approaches to ophthalmic imaging and possibly to astrophysics.

Candidates will be hosted at CERA with regular visits to Swinburne University. As an integral part of the team, candidates will work on a day-to-day basis with our data scientist and clinician-scientist. They will also have close and regular interactions with CERA’s larger team.
Skills required
The ideal candidates will have demonstrated interest in image analysis and can be either:
·         a biomedical engineer who is keen to learn state-of-the art analytical methods from leading astrophysicists and/or,
·         an astrophysicist who wants to develop biomedical skills and apply their knowledge to clinical problems.
The ideal candidates will need to have the following skills:
·         Data science (machine learning, statistics and data visualisation)
·         Programming (Python, Matlab)
·         Interest in cross-disciplinary collaboration

If you have any questions about the research to be conducted during the internship, you can contact

  *   Dr Xavier Hadoux: xavier.hadoux at unimelb.edu.au<mailto:xavier.hadoux at unimelb.edu.au> (CERA)
  *   Dr Ned Taylor: entaylor at swin.edu.au<mailto:entaylor at swin.edu.au> (Centre for Astrophysics & Supercomputing)
  *   A/Prof Christopher Fluke: cfluke at swin.edu.au<mailto:cfluke at swin.edu.au> (Centre for Astrophysics & Supercomputing)

Any questions about the APR.Intern program, application process, timelines, eligibility, etc. should be directed to Justin Mabbut: j.mabbutt at aprintern.org.au<mailto:j.mabbutt at aprintern.org.au>

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