Industry Scholarship- Data-intensive scheduling optimisation
The research project Data-intensive Scheduling Optimisation in Database Systems aims to develop advanced algorithms to optimise query and task execution, ensuring effective resource utilisation of CPU, memory and storage I/O.
This project aims to enhance the efficiency and performance of database systems dealing with large-scale data workloads. The objectives include developing advanced scheduling and ensuring effective resource utilisation.
Key details
- 20246579, 20246578
- PhD
- Applications close on 30 April 2025
- Domestic, International
- Information technologies
- $38,500 p.a. (2025 rate)
The project:
- seeks to improve scalability by implementing strategies for horizontal and vertical scaling
- focuses on adaptive scheduling to dynamically adjust to varying workloads and real-time resource availability
- seeks to address issues related to concurrency control, fault tolerance and energy efficiency.
The overarching aim is to contribute solutions that enhance the overall performance, reliability and cost-effectiveness of data-intensive database systems.
We are seeking applicants with the following skills:
- good data structure and algorithm and relational database management system knowledge
- basic operating system knowledge and hands-on Linux experience
- fluent C/C++ programming skill, Python is a bonus
- multi-thread programming and performance optimisation experience.
Availability
Two scholarships are available to candidates who are eligible to undertake a direct entry three-year PhD program.
Components
The scholarships comprise:
- a tuition fee offset
- a living allowance stipend.
The value of each stipend scholarship is $38,500 per annum (full-time, indexed) for three years.