PhD Scholarship: Security Attacks and Defences for Artificial Intelligence

Summary

Enrolment status New students, Currently enrolled students
Student type Domestic students, International students
Level of study Higher Degree by Research
Study area Engineering and Computing, Science and Mathematics
HDR funding type Living stipend scholarship, Tuition Scholarship
Scholarship value $27,596 per annum tax-free (2019 rate), indexed annually
Scholarship duration Three years with the possibility of two 6-month extensions in approved circumstances
Opening date 5 July 2019
Closing date 28 July 2019

Scholarship description

This scholarships will be given to a PhD student who will be working on a research project on the security attacks and defences for artificial intelligence focusing on classical machine learning techniques and deep learning techniques. The main goal of this project is to develop a framework to provide interpretable, dependable and secure machine learning/deep learning techniques for various application domains.

Eligibility

To be eligible, you must meet the entry requirements for a higher degree by research.

Applications are closed.

Before you apply

If this scholarship has rules, download and read them before applying.

How to apply

To be considered for this scholarship, please email the following documents to Associate Professor Dan Kim (dan.kim@uq.edu.au

  • Cover letter
  • CV
  • Academic transcript/s
  • A short statement about background on machine learning, deep learning and cybersecurity.

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 Graduate School's website.

Selection criteria

Candidates must demonstrate:

  • Strong background in computer science, IT or other closed related displines
  • Strong background in cybersecurity and machine learning techniques
  • Publication(s) to the topics are an advantage
Applications are closed.

Contact

Associate Professor Dan Kim
Applications are closed.

Terms and conditions

Read the policy on UQ Research Scholarships.

A domestic part-time student with carer’s responsibilities, a medical condition or a disability, which prevents them from studying full time may be eligible for scholarship consideration, on a case by case basis.

Applications are closed.