On Transferability of Machine Learning Models

Fully funded PhD scholarships are available at the Data Science group, University of Queensland for the following project (for start in Oct 2024).

This project aims to improve safety, transferability, and robustness in deep learning models. This project will be part of the Data Science Research Group, Information Technology and Electrical Engineering School, at the University of Queensland located in Brisbane, Australia.

Remuneration ~$30k per annum tax-free, indexed annually, for three years with the possibility of two 6-month extensions in approved circumstances. Additional top-ups will be available for outstanding candidates. Application instructions To be considered for this scholarship, Please note the following: Submitting the above documents does not constitute a full application for admission into The University of Queensland's PhD program.

he Data Science group researches and develops innovative and practical solutions for business, scientific and social applications in the realm of big data. The group encompasses a variety of research strengths including: Data and knowledge engineering, Information Retrieval, Computer Vision, and Complex and Intelligent Systems. You will join a world-leading research group currently composed of 13 academic staff members (including 6 full professors, two DECRA fellows and an 2 Future Fellows), 7 research fellows and over 40 PhD students. Members of the group have a successful track record of publishing in top conferences and journals such as ACM SIGIR, ACM CIKM, The Web Conference (WWW), SIGMOD, CVPR, ICCV, ICML, PAMI, JMLR, ICLR and various ACM and IEEE transactions.

The research environment available to the project is world-class. The University of Queensland (UQ) has a strong and internationally focused research culture. It is ranked in the top 1% of world universities in three widely publicized international University rankings.

This project is supported by the Research project scholarship.

Learn more about the Research project scholarship.

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 Solid programming and algorithmic skills, and knowledge of machine learning techniques, particularly deep learning, would be of benefit to someone working on this project.

You’ll demonstrate academic achievement in the field/s of Machine Learning and Computer Vision and the potential for scholastic success.

A background or knowledge of Linear Algebra and Deep Learning is 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 Mahsa Baktashmotlagh (m.baktashmotlagh@uq.edu.au) to discuss your interest and suitability
4. submit your application by 1 May, 2024 1 May, 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 MACHINE-BAKTASHMOTLAGH.

Apply now