Machine Learning for Improving Services and Management of Software Defined Networks

By leveraging the power of P4 programming, this project aims to harness advanced machine learning techniques and large language models to enhance the services and management of software-defined networks in the real-world applications. 

The successful candidate will join a diverse team of computer networking researchers and fellow PhD students and will be supported in the research environments at the School of Electrical Engineering and Computer Science (EECS) with development, training, and collaboration opportunities. 

This project is supported by the Research project scholarship.

Learn more about the Research project scholarship.

You must contact the principal supervisor for this project to discuss your interest. You should only complete the online application after you have reached agreement on supervision.

Always make sure you are approaching your potential supervisor in a professional way. We have provided some guidelines for you on how to contact a supervisor.

Your application will be assessed on a competitive basis.

We take into account your:

• previous academic record
• publication record
• honours and awards
• employment history.

A working knowledge of electrical engineering/computer science, real world/industrial experience and working knowledge of SmartNICs and network processors would be of benefit to someone working on this project.

You will demonstrate academic achievement in the field(s) of computer networking, software defined networking, machine learning and the potential for scholastic success.

A background or knowledge of practical and competent P4 programming skills are absolutely essential for this project and Python programming skills are highly desirable.

Before you apply

Before submitting an application you should:

1. check your eligibility for a Doctor of Philosophy (PhD)
2. prepare your documentation
3. contact Dr Siamak Layeghy (s.layeghy@uq.edu.au) to discuss your interest and suitability
4. submit your application by 5 July, 2024 5 July, 2024.

When you apply

You apply for this scholarship when you submit an application for your program. You don’t need to submit a separate scholarship application.

In your application ensure that under the ‘Scholarships and collaborative study’ section you select:

• ‘My higher degree is not collaborative’
• ‘I am applying for, or have been awarded a scholarship or sponsorship'
• ‘Other’, then ‘Research Project Scholarship’ and in the ‘Name of scholarship’ field enter SOFTWAREDEFINED-LAYEGHY.

Apply now