This project develops state-of-the-art Combinatorial Optimization (CO) algorithms using machine learning techniques and meta-heuristics (e.g., evolutionary algorithms) to learn the values of constraints.
Table of Content
Summary
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Benefits
A stipend of $35,886 per annum pro rata (full-time study), with a possible 6-month extension
Requirements
To be eligible for this scholarship you must:
- have a first-class Honours or 2A Honours or equivalent degree in computing technologies;
- be an Australian citizen, Australian permanent resident or an international student meeting the minimum English language requirements;
- provide evidence of adequate oral and written communication skills;
- meet RMIT's entry requirements for the master by research degree (or master coursework including a minor thesis).
Application Deadline
October 31, 2025How To Apply
- Interested candidates should contact Professor Xiaodong Li ([email protected]), Professor Andreas Ernst ([email protected]), or Dr. Yuan Sun ([email protected]).
- Please provide a short research proposal outlining your interest and alignment with the proposed research, and why you think you are the best candidate for this project.
- You should also provide a short CV, your academic transcripts, 2 of your top published research papers (if any).
For more information, kindly visit RMIT University scholarship webpage.