CSIRO Postdoctoral Fellowship in Medical Image Harmonisation - CSIRO - EducationCareer

First listed on: 09 August 2019

CSIRO Postdoctoral Fellowship in Medical Image Harmonisation 

The Opportunity
  • Do you have, or will soon shortly obtain, a PhD in medical image analysis?
  • Use your programming skills to contribute to Alzheimer’s disease research!
  • Join CSIRO and kick start your research career!

CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists who have completed their doctorate and have less than three years’ relevant postdoctoral work experience.  These fellowships aim to develop the next generation of future leaders of the innovation system.

In this exciting Postdoctoral Fellowship, you will research new harmonisation protocols for Medical Image Quantification, principally in amyloid positron emission tomography (PET). You will develop technology with the aim of achieving a gold standard image quantification biomarker that will foster the use of amyloid PET imaging in routine clinical settings.

As the successful candidate, you will be part of a team working together to develop a robust understanding of the risk and prospective factors which increase or delay the pathological processes of Alzheimer’s disease.

Your duties will include
  • Carrying out innovative, impactful research of strategic importance to CSIRO that will, where possible, lead to novel and important scientific outcomes.
  • Developing innovative concepts, theories, tools and techniques related to the analysis of PET and MRI scans of the brain for the diagnosis of neurodegeneration and ageing, with a focus on PET quantification standardisation.
  • Harnessing the growing volume of publicly available data sources, as well as work on establishing proprietary datasets in collaboration with our partners.
  • Undertaking regular reviews of relevant journal and patent literature.
  • Producing high quality scientific and technical outputs including journal articles, conference papers and presentations, patents and technical reports.

Location: Melbourne, Victoria, Australia
Salary: AU$83k - AU$94k plus up to 15.4% superannuation
Tenure: Specified term of 3 years
Reference: 62259

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 related area. Please noteTo be eligible for this role you must have no more than 3 years (or part time equivalent) of relevant postdoctoral research experience.
  • Evidence of advanced programming skills and software design in languages relevant for medical image analysis research (e.g. C/C++, Python, MATLAB, R).
  • High-level communication skills including the ability to present research outcomes at national and international conferences.
  • A sound publication record in peer reviewed journals and/or authorship of scientific papers or reports.
  • 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

CSIRO’s Commitment to Diversity

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 - D&I Strategy

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

About CSIRO

At CSIRO you can be part of helping to solve big, complex problems that make a real difference to our future. We spark off each other, learn from each other, trust each other and collaborate to achieve more than we could individually in a supportive, rewarding, inclusive and truly flexible environment. 

Apply Online

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

Applications Close

22nd September 2019 (10:59 pm AEST)