- Take a leading role in developing X-ray imaging technologies
- Bring your strong understanding of existing 3D image reconstruction techniques
- Join CSIRO Mineral Resources’ X-ray Technology group!
- Under supervision of senior researchers, assist in the planning and preparation of research proposals and carry out research investigations, requiring originality, creativity and innovation.
- 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.
- Wield knowledge and experience to formulate ideas for new analysers.
- Run Monte Carlo and other computer simulations to test ideas and/or validate experiments.
- Organise facets of experiments to further 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.
- Analyse experimental data and communicate outcomes.
- Collaborate with engineers to design and build industrial analyser prototype for testing in industry.
- Interact with clients and stakeholders to forward project objectives.
- Take part in technology field trials in Australia and overseas.
- Other duties as directed
- A PhD or an equivalent combination of qualifications and research experience in a relevant field such as applied mathematics, (nuclear) physics, or physical sciences or computer science/engineering.
- Good theoretical understanding of existing 3D image reconstruction techniques, in particular iterative reconstruction methods.
- Good image processing skills on noising reduction, segmentation and classification.
- Demonstrated ability to design and independently deliver assigned research project objectives and report outcomes within a specified timeframe.
- Good communication and interpersonal skills, including working constructively with research scientists, engineers, support staff and/or client personnel.
- Familiarity with Python or other programming/scripting languages.
- Demonstrated ability to undertake original, creative and innovative research by generating and pursuing novel ideas and solutions to scientific research problems.
- A demonstrated publication history of authorship on scientific papers in peer reviewed journals and/or reports, grant applications or inventorship on patent applications.
- Post PhD experience in research or industry.
- Good theoretical understanding of physics concepts particularly in the areas of nuclear and/or X-ray physics.
- Demonstrated excellent experimental skills involving measurement hardware and prototyping
Company
Location
Sydney - Australia
Job type
Full-Time
Python Job Details
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
The Opportunity
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. We thrive on innovation harnessed by the diversity of the minds and lived experiences of our team and apply our expert knowledge and specialised research to provide innovation that solves the complex problems faced by minerals companies, mining equipment, technology, and services (METS) companies, government, and other industry stakeholders.
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 (https://www.chrysos.com.au/) and OLGA (https://www.gekkos.com/solutions/olga).
As an Applied Mathematician / Scientist, you will have the opportunity to pursue new ideas and approaches, provide scientific leadership, to build and maintain networks and play a role in securing project funds. You will take a leading 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.
Your duties will include:
Location: Lucas Heights, Sydney NSW
Salary: AU$105k to AU$114k pa + up to 15.4% super
Tenure: 3 year specified term
Reference: 90636
To be considered you will need:
Desirable:
For full details about this role please review the Position Description
Eligibility
Applications for this position are open to Australian/New Zealand Citizens, Australian Permanent Residents or you must either hold, or be able to obtain, a valid working visa (sponsorship may be provided to eligible candidates). 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.
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
29 January 2023, 11:00pm AEDT
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