澳大利亚联邦科学与工业研究组织博士后职位—应用数学/X射线成像与重建

澳大利亚联邦科学与工业研究组织博士后职位—应用数学/X射线成像与重建

澳大利亚联邦科学与工业研究组织（Commonwealth Scientific and Industrial Research Organisation, CSIRO）是澳大利亚最大的国家级科研机构，前身是于1916年成立的科学与工业顾问委员会（Advisory Council of Science and Industry）。

CSIRO Postdoctoral Fellowship: Applied Mathematician/Scientist X-Ray Imaging and Reconstruction

Commonwealth Scientific & Industrial Research Organisation (CSIRO)

Job Description

Acknowledgement of Country

CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation

Child Safety

CSIRO is committed to the safety and wellbeing of all children and young people involved in our activities and programs. View our Child Safe Policy.

The Opportunity

·         Do you have a PhD in applied mathematics, (nuclear) physics, or physical sciences or computer science/engineering?

·         Are you excited to conduct innovative research in developing X-ray imaging technologies

·         Join CSIRO Mineral Resources’ X-ray Technology group!

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

CSIRO Mineral Resources (CMR) is one of the largest minerals research and development groups globally, with a proud track record in delivering innovation and solutions across the mineral resources value chain.  The X-ray technology group is part of CSIRO’s Mineral Resource Business Unit; we are world leaders in the development and commercialisation of technologies that enable the assessment of elemental and mineralogical composition of ore in real-time or near real time. In the recent past we have commercialised technologies such as Chrysos and OLGA.

The CSIRO Postdoctoral Fellowship will play a role in developing X-ray imaging technologies, primarily using fast 3D image reconstruction and other image processing techniques that can be analytical, numerical and or AI based. The development will also involve knowledge of X-ray physics, X-ray tubes, flat panels and simulation techniques for supporting parallel experimental work undertaken by you or the team.  The overall objective of the work is to develop advanced real-time X-ray imaging systems for bulk ore-sorting and other real time imaging analysis of mineral ores or other application areas such as biosecurity. In this role you may oversee students and play a major part in implementing technology trials.

Your duties will include:

·         Using appropriate existing 3D image reconstruction algorithms and other image processing and experimental methods, and creating new ones, to measure elements or minerals using X-ray imaging.

·         Wielding knowledge and experience to formulate ideas for new analysers.

·         Running Monte Carlo and other computer simulations to test ideas and/or validate experiments.

·         Analysing experimental data using relevant data science techniques and record, manage and communicate outcomes.

·         Organising facets of experiments to progress an idea; this includes procurement of hardware, set up equipment like X-ray tubes, flat panels and other detectors, use computer programming to run the experiment and data acquisition.

Location: Lucas Heights, Sydney NSW

Salary: AU$92k - AU$101k plus up to 15.4% superannuation

Tenure: Specified term of 3 years

Reference: 92784

To be considered you will need:

·         A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as applied mathematics, (nuclear) physics, or physical sciences or computer science/engineering. Please note: To be eligible for this role you must have no more than 3 years (or full-time equivalent) of postdoctoral research experience.

·         Good theoretical understanding of existing 3D image reconstruction techniques, in particular iterative reconstruction methods.

·         Good image processing skills on noising reduction, segmentation or classification.

·         Demonstrated ability to design and independently deliver research project objectives and report outcomes within a specified timeframe.

·         Good interpersonal skills, including working constructively with research scientists, engineers, support staff and/or client personnel.

For full details about this role please view the Position Description

Eligibility

Appointment to this role is subject to provision of a national police check and may be subject to other security/medical/character requirements.

Flexible Working Arrangements

We work flexibly at CSIRO, offering a range of options for how, when and where you work.

Diversity and Inclusion

We are working hard to recruit people representing the diversity across our society, and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish.

About CSIRO

At CSIRO Australia's national science agency, we solve the greatest challenges through innovative science and technology. We put the safety and wellbeing of our people above all else and earn trust everywhere because we only deal in facts. We collaborate widely and generously and deliver solutions with real impact.

CSIRO is committed to values-based leadership to inspire performance and unlock the potential of our people.

CSIRO is committed to the safety and wellbeing of all children and young people involved in our activities and programs, whether we are undertaking research, engaging with the public or nurturing future scientists in person or online. Source – CSIRO Child Safe policy 2023

Join us and start creating tomorrow today!

How to Apply

Please apply on-line and provide a cover letter and CV that best demonstrate your motivation and ability to meet the requirements of this role.

Applications Close

16 June 2023, 11:00pm AEST/AEDT

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