Technology-Driven and Scalable Regression Methodology, Computing and Theory

As part of the recently funded Australian Research Council Discovery Project "Technology-Driven and Scalable Regression Methodology, Computing and Theory" with chief investigators Professor Matt P. Wand and Dr Joanna J.J. Wang, we are seeking applicants for a full scholarship for study towards a doctoral degree tied to the project's objectives.

Regression is a mainstay of data analysis, statistics, machine learning and data science but is in continual need of enhancement in the face of technological change. Scalability and flexibility for the handling of non- linear signals are fundamental to the practical utility of new regression methodology. Several streams of research aimed at confronting data from specific technologies as well as generic types of data are proposed. The project is to be networked with researchers in the United States of America and aims to have Australia-based researchers providing leadership in terms of methodological, theoretical, computational and software development.

Applicants must be a domestic student - either Australian permanent residents or New Zealand citizens. To be eligible for this applicantion, applicants must have completed a UTS recognised degree in

• MSc Research or MSc Coursework with a research thesis of at least 6 months,

• or Bachelor Honours degree with 1st Class, or 2nd Class Division 1, or division 1 honours, or an equivalent or higher qualification,

• or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate research studies.

Selection criteria includes research potential, research experience, quality of the research proposal, alignment with the UTS Research Strategy and the strategic goals of the field of specialisation, and the Faculty's ability to offer appropriate supervision in the applicant's chosen field.

1) Suitable candidate is able to commence the doctoral degree by 30th November 2023. 2) Achieved excellent performance in undergraduate degree, preferrably first class honours, or masters degree in statistics and related areas.

Applicants should send their CV, list of publications, and selection criteria to contact person’s email address by the closing date. Shortlisted candidates will be advised with further details.

For further Information on UTS Graduate Research applications please follow application essentials in this link.

Please contact the following person for further information.

Name: Matt wand

Email: [email protected]

The University of Technology Sydney is Australia’s Top Young University and ranked within the Top 200 universities worldwide. UTS has a growing reputation for highly applied research that leaves a lasting positive impact on the world in which we live. Its vibrant campus is located in the center of Sydney, with easy access to all amenities and transport that is ideally suited for PhD student living.

$32,500 per year (RTP Stipend rate, indexed annually); additional funds ($7.5k) during the course of the PhD for travel and other PhD-related expenses.

3.5 years

Open

Open.

14/03/2023

01/11/2023