First listed on: 18 March 2019

Postdoctoral Fellowship in Medical Image Registration or Segmentation 

  • Do you have (or are near completion of) a PhD in Medical Image Analysis or similar?
  • Contribute to medical research that aims to predict neurodegenerative diseases such as Alzheimer’s
  • Kick-start your research career at Australia’s premier research organisation - CSIRO

CSIRO Health and Biosecurity are seeking a postdoctoral fellow to join a high-performing team to work on developing the next generation neuroimaging diagnosis using MRI.  You will be part of a $4.8M project, working in conjunction with Queensland University of Technology, Maxwell+ (start-up developing AI for precision medicine), and I-MED (large private radiology practice) to collect clinical data.  You will also have access to existing data from some of the largest and world-leading clinical studies.  

In this role, you will work in an outstanding environment with strong capability in machine learning applied to medical image analysis. You wll work with a large team of scientists and students (20+) benefiting from existing software platform and high performance computing infrastructure (GPU clusters and high end workstation).

Your duties will include

  • Recognising and exploiting opportunities for innovation and the generation of new theoretical perspectives, and progressing opportunities for the further development or creation of new lines of research.
  • Utilising design thinking methodology to plan and prepare research proposals, and applying non-academic impact methodology to research projects.
  • Recording, managing, and analysing data/information using relevant domain data science techniques.
  • Developing innovative concepts, theories, tools and techniques related to the analysis MRI and PET scans of the brain for the diagnosis of Neurodegeneration and ageing, with a focus on fast non-rigid registration.
  • Harnessing the growing volume of publicly available data sources, as well as working on establishing proprietary datasets in collaboration with our partners.

Location:  Brisbane (Herston), Queensland, Australia
Salary: AU$82K - AU$93K plus up to 15.4% superannuation
Tenure:  Specified term of 3 years
Reference:  58968

To be successful you will need

  • A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Medical Image analysis or a related discipline area.
  • The ability to investigate issues of complex and ill-defined problems and develop appropriate responses by adapting/creating and testing alternative solutions.
  • Experience with deep learning using Convolutional Neural Networks.
  • Advanced programming skills and software design in languages relevant for medical image analysis research (e.g. C/C++, Python, MATLAB).
  • High level written and oral communication skills with the ability to represent the research team effectively internally and externally, including publishing in peer reviewed journals and/or authorship of scientific papers, reports, and presenting at national and/or international conferences.
  • A record of science innovation and creativity, including the ability & willingness to incorporate novel ideas and approaches into scientific investigations.

For details about who to contact and for more information please view the position description.

We’re working hard to recruit diverse people and ensure all our people feel supported to do their best work and empowered to let their ideas flourish.

Flexible Working Arrangements

We work flexibly at CSIRO, offering a range of options for how, when and where you work. Talk to us about how this role could be flexible for you. Balance


At CSIRO, we solve the greatest challenges through innovative science and technology.  Discover more about CSIRO online.

Apply Online

To apply online, please provide a CV and cover letter outlining your suitability and motivation for the role.

Please note: This is a re-advertised position. If you have applied previously, we still have your application.  

Applications Close

30th April 2019

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