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Study

Privacy-Preservation with Large Language Models (LLMs)

This project is closed.

Project summary

Program
PhD
Location
St Lucia
Research area
Engineering, Information and computing sciences, Mathematical sciences

Project description

The advent of Large Language Models (LLMs) has revolutionized natural language processing, allowing users to prompt queries and receive tailored responses across various domains, from generating text and code to performing tasks. You will contribute by proposing strategies that can mitigate these privacy and security concerns.

Research environment

The successful candidate will join an exciting and diverse team of researchers and fellow PhD students and will be immersed and supported in some fantastic research environments at the School of Electrical Engineering and Computer Science (EECS) with development, training, and collaboration opportunities galore.

Scholarship

This project is supported by the Research project scholarship.

This scholarship includes:

  • living stipend of $35,000 per annum tax free (2024 rate), indexed annually
  • tuition fees covered.

This scholarship includes:

  • living stipend of $35,000 per annum tax free (2024 rate), indexed annually
  • tuition fees covered
  • single overseas student health cover (OSHC) for international students.

Learn more about the Research project scholarship.

Supervisor

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.

Preferred educational background

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 privacy enhancing techniques would be of benefit to someone working on this project. Experience with NLP and LLMs as well as strong phython programming skills and knowledge of AI/ML required.  

You will demonstrate your experience on related projects through publications or sharing link to code repositories.

 

How to apply

To be considered for this scholarship, please email the following documents to Dr Priyanka Singh (Priyanka.Singh@uq.edu.au):

  • Cover letter
  • CV
  • Academic transcript/s
  • Evidence for meeting UQ's English language proficiency requirements e.g. TOEFL, IELTS

Please note the following: Submitting the above documents does not constitute a full application for admission into The University of Queensland's PhD program. If you are selected as the preferred applicant, you will then be invited to submit a full application for admission. You can familiarise yourself with the documents required for this process on the UQ Study website.

Do you have questions?

The Graduate School is here to help.

Contact us