Memjet has a cloud services component of its business. This is an in-field print systems monitoring tool, which enables increased customer value, savings and more market and product understanding. This tool when implemented will used to predict maintenance, downtime, product performance and durability. In addition, the information from the tool can be used for improved service delivery.

The research will develop and optimise machine and deep learning algorithms which are quick and accurate giving near real-time information on the ‘condition’ of print systems including hardware, consumables, and print cycles. A key component of the research will be to identify what information/parameter is relevant to understanding the ‘condition’ of the system, and how these parameters impact on the system in terms of performance and durability.
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

  1. 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.  
  2. Apply for admission to the PhD program at UNSW.
School / Research Area

Mathematics and Statistics