Published: 14 Mar 2022 653 views
This project aims to develop effective techniques to identify the sources of fuel losses, such as leaks and calibration errors in underground storage tanks at service stations. Monitoring fuel losses at service stations is influenced by many external factors which can be difficult to predict. The project expects to use machine learning to develop the techniques and test them with live data at service stations. The expected outcomes are a set of tailor-made machine learning techniques for effective fuel loss detection and a software suite that can be easily incorporated into the normal operation of service stations. This should reduce the costs to the petroleum industry from wasteful leaks and the environmental damage caused by these leaks
RMIT University (officially Royal Melbourne Institute of Technology, informally RMIT) is an Australian public research university based in Melbourne, Victoria. Founded in 1887 as the Working Men's College of Melbourne by Francis Ormond, it initially opened as a private night school offering instruction in art, science and technology in response to the industrial revolution in Australia. It was made a public university by act of the Parliament of Victoria in 1992 after merging with the Phillip Institute of Technology. A dual sector institute, its enrolment of 320 trades students in 1887 ... continue reading
Application Deadline | Not Specified |
Type | PhD |
Sponsor | RMIT University |
Gender | Men and Women |
Two PhD scholarships (each equivalent to an APA scholarship) are available. The scholarship consists of a $31,260 (tax free) stipend per year for the duration of three years, plus a possible 6 month extension (depending on excellent progress).
To be eligible for this scholarship you must:
It will be highly desirable if you have a GPA of 3.5 or above, and solid experience in machine learning and data mining applications.
Candidates should contact Professor Xiaodong Li at [email protected]. Prospective candidates should provide CV, academic transcripts and a written expression of interest before lodging any application with SGR.
For more details, visit RMIT University website.