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sponges, optimising the product at a large scale, improving the filtration process, conducting system characterisation and preparing research papers for publication. Developing materials that are highly
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of a competitive selection process that ranks applicants according to their academic achievement, research outputs and relevant professional experience. Priority is given to applicants who: Have achieved
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years of full-time study in the following engineering disciplines or computer science, awarded with honours: Mechanical, Mechatronics, Electronics or Computer Engineering b) Meet participating university
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The scholarship is funded by McConnell Dowell, a leading construction contracting organisation with extensive experience in delivering complex construction projects. The project will examine the use
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. Please contact A/Prof (andy.song@rmit.edu.au ) with your CV, academic transcripts, and an initial short paragraph of what aspect of AI for food and waste systems you might be interested in. Please contact
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This scholarship is to support a Master by research student in upcycling plastic waste into carbon-based nanomaterials project. The position is supported by full scholarship with $34,841 annual
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hydrological data. The results of this research have real-world applications in groundwater and surface water modelling. In this research Masters project, the latest AI and KR (knowledge representation) concepts
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should also submit an application for 'Admission Only' via the Online application service. Please contact RMIT Supervisors Matt Duckham or Estrid He for further information. Please contact RMIT Supervisors