Mathematics and Statistics
Memjet manufactures printheads, inks, ink delivery systems, and many of the subcomponents that go to digital inkjet printers. The printers can be those in offices but also those used for high-speed commercial and industrial printing for many different applications in different sectors of the economy. These Memjet systems all require calibration. The complex multi-component systems include thousands of inkjet nozzles operating at high speed and temperatures controlled by precise electronics and hardware. The interactions of the printer head technology and ink both within the printer and on the ‘printed on’ substrates are equally complex and need constant calibration to ensure product quality.
The current systems for calibration can be time consuming and can result in manufactured product faults and expensive wastage.
The research will develop artificial intelligence with improved machine & deep learning techniques to optimise and automate the calibration systems with the outcomes being timely, routine, and systematic processes that are part of product manufacturing and enhancement. The research will use existing data from human inspection of test prints and a large database of scanned images of test prints to reduce the cost and time required to assess the performance of manufactured inkjet printheads, calibrate each printhead, and classify print quality defects to drive product improvement.
PhD candidates will be expected to carry out their research with partial placement within Memjet’s Macquarie Park R&D facility with components of the research being conducted at UNSW’s School of Mathematics and Statistics.
Scholarship
- $40,500 per annum
Eligibility
- Domestic applicants only
- PhD only
How to apply
- Send an email with subject line 'Memjet Scholarships' to Professor Spiridon Penev (s.penev@unsw.edu.au) and Professor Pierre Lafaye (lafaye@unsw.edu.au) with your CV, transcripts and your motivation.
- Apply for admission to the PhD program at UNSW
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