3D X-Ray Screening in the Meat Industry
Location: Pyrmont, Sydney NSW
Duration: 6 months
Keywords: C++, Software Coding, Image Processing, Physics, Mathematics
Rapiscan Systems is a global leading designer, manufacturer and supplier of security technology equipment for use in airport security, port and border security and the protection of public spaces such as government buildings, hotels and sporting stadiums.
Rapiscan Systems is also working with government, industry and academic partners in Australia to investigate the potential for the application of aviation security equipment in the meat industry. Here, the real-time 3D X-ray imaging capability and sustained throughput of a baggage screening system seems to suit some food industry applications.
To explore this potential further, Rapiscan Systems is installing a real-time 3D X-ray computed tomography baggage screening system at a meat industry location in Australia. The objective of this program of work is to investigate the potential for 3D X-ray screening to support productive and efficient processes in the meat industry.
Research to be Conducted
Rapiscan Systems seeks two PhD interns to support its Research and Development program in Australia. The positions will be based alongside the Rapiscan Systems engineering team in Pyrmont, Sydney, NSW. The Rapiscan Systems engineering team for this project comprises three engineers in Sydney and a further 30 engineers internationally, is focused on 3D image processing and signal analysis. The two intern positions will work within the Pyrmont based team and will each take on a specific area of work:
- Development of three-dimensional texture analysis methods in tissue and fat regions.
- Development of three-dimensional image segmentation methods in noisy data, for example to segment fat from tissue in the 3D image.
The work of the interns shall be conducted in close liaison with industry experts from Meat and Livestock Australia.
Interns will be expected to write software code in C++ within a software framework that is used by all members of the engineering team. There are two internship places available.
Key skills that will be used in this program are drawn from the following topics:
- Image processing methods
- Software coding
- Physics and Mathematics
The outcome from each intern position shall include a set of source code with associated executables to address the specific topic in question plus a detailed technical report to outline the methods considered for the work, the methods implemented during the work and the results obtained using the methods on real image data sets.
In addition, the interns shall be expected to provide recommendations for future work to be conducted under this research and development program. These ideas may be subsequently worked on by members of the full-time engineering staff or future interns. Interns shall be encouraged to publish their work in the scientific literature in partnership with their academic and industry mentors.
The intern will receive $3,000 per month of the internship, usually in the form of stipend payments.
It is expected that the intern will primarily undertake this research project during regular business hours, spending at least 80% of their time on-site with the industry partner. The intern will be expected to maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.
The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.
To participate in the APR Intern program, all applicants must satisfy the following criteria:
- Be a PhD student currently enrolled at an Australian University.
- PhD candidature must be confirmed.
- Applicants must have the written approval of their Principal Supervisor to undertake the internship. This approval must be submitted at the time of application.
- Internships are also subject to any requirements stipulated by the student’s and the academic mentor’s university.
25 February 2018
INT – 0391