Job Reference: 546210

Classification: Academic Level A
Salary package: $76,271 - $95,732 per annum plus 17% Superannuation
Term: Full-time, Fixed Term (2 years)

Working at ANU

This is an opportunity to work with a world class University that undertakes cutting edge research and has a strong tradition in research-led teaching excellence.

We offer:

• Flexible working arrangements including hybrid arrangements working both on our beautiful, green campus and working remotely,
• Generous paid parental leave entitlements of up to 32 weeks. We are one of the leading employers in Australia for parental leave entitlements,
• Career support, training, mentoring & upskilling opportunities.

For more information on a range of lifestyle, financial and non-financial rewards and programs, please click here.

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A Diverse and Inclusive Team

ANU is introducing measures to support the recruitment, inclusion and retention of employees with disability. To find out more, please click here.

ANU is a large, diverse employer with staff working across numerous professions (see the full list of available roles here. We are a recipient of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and from individuals who may have had a non-linear career path, career gaps or career breaks.

The Position

The successful candidate will become a member of the department of Materials Physics within Research School of Physics (RSPhys). The department is a host to the national computed micro-tomography laboratory (CTLab) as well as the ARC Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing (M3D Innovation). CTLab has produced ground-breaking 3D X-ray microscopy technology for over 15 years. The group, comprising scientists, engineers, and research students, is characterised by mutual respect, an openness to new ideas and a willingness to take risks. M3D Innovation is built on the enabling technology of CTLab and provides new insights and quantitative analysis of form and function of 3D materials to industry partners with interests ranging from medical devices to timber, oil and gas, and additive manufacturing.

This is a key role that will focus on an M3D innovation project within the “Cultural Heritage” theme. Projects within this theme focus on micro-CT applications to palaeontology, and are undertaken as a partnership between ANU and The Australian Museum. The Postdoctoral Fellow will contribute to the objective to develop automated segmentation and classification of biostratigraphic signatures within CT volumes of rocks through machine learning and artificial intelligence (deep learning). This will be based on a training dataset (that has already been largely generated) of microfossils encased within palaeontological rock samples. It is hoped that the tools and pretrained neural networks developed on this pilot application project will then be generalised for more broad automated analysis of tomographic volumes generated at CTLab.

The Person

We are looking for an enthusiastic early researcher with qualifications in Mathematics, Physics or Computer Science, and is able to deliver high-quality research output in said areas, as well as demonstrates achievements in leading projects related to digital image processing/analysis or computer vision. The successful candidate should have experience in at least one and preferably several of the following areas: computer vision, image segmentation and/or feature extraction, pattern recognition and/or object classification, machine learning and/or deep learning and/or optimisation techniques.

For more information about the position please contact Andrew Kingston on T: +61 2 6125 0185 E: andrew.kingston@anu.edu.au.         

To Apply

To be considered for this position, please upload the following documents:

• A current curriculum vitae (CV), and
• No more than a two page summary addressing your suitability against the selection criteria.

The committee will consider candidates that do not meet one or more aspects of the selection criteria.

Please use the below link to apply:

https://jobs.anu.edu.au/cw/en/job/546210/postdoctoral-fellow

If you require any adjustments, please contact our HR team at E: hr.cos@anu.edu.au or T: +61 2 6125 8045. Any adjustment request or the disclosure of disability will not be communicated to the selection committee without the candidates consent and it will not having any bearing on hiring decisions.

For examples of common reasonable adjustments, please click here.

The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.