RMIT University 2022 PhD Scholarships in Developing Machine Learning and Data Mining Techniques

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

• Table of Content
• About RMIT University
• PhD Scholarships
• Aim and Benefits of PhD Scholarships
• Requirements for PhD Scholarships Qualification
• Application Deadline
• How to Apply

PhD Scholarships

Aim and Benefits of PhD Scholarships

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).

Requirements for PhD Scholarships Qualification

To be eligible for this scholarship you must:

• Have first-class Honours or 2A Honours or equivalent or a Masters degree (with a minor thesis component) in a relevant discipline of computer science/information technology/data science
• Be an Australian citizen, Australian permanent resident or an international student meeting the minimum English language requirements
• Provide evidence of good oral and written communication skills
• Demonstrate the ability to work independently as well as within a team
• Meet RMIT’s entry requirements for the Doctor of Philosophy.

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. 

Application Deadline

How to Apply

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.