ATN universities offer scholarships as part of the IDTC’s PhD intake and we are inviting all interested students to submit an expression of interest by filling out the form below, and submitting all the required documents. Each university offers a number of 4 year, full-time, Research Training Program stipend scholarships, as part of the IDTC PhD program, with some universities offering an additional $2-3K on top of the RTP stipend-level scholarship.
Applications are reviewed throughout the year on a regular basis. However, to ensure that you are considered in the next round of scholarship applications for February 2018 intake, you must submit your application by the 30th of October 2017.
You are also welcome to use the same forms to 'express your interest' as a student in the IDTC PhD program, even if you do not need a scholarship from one of the ATN universities.
If you wish to apply for an IDTC scholarship directly through one of the ATN Universities, you can use the links below. Please note that you must then clearly state in your application that you are applying for the 4 year IDTC Scholarship (eg if application is to UTS, state clearly in your application as follows ‘UTS IDTC 4-year Scholarship for 2018’). Otherwise, please use the general IDTC Scholarships application form (where you will nominate your preferred ATN universities), provided here.
Curtin - http://howtoapply.curtin.edu.au/
Please contact Associate Professor Charles Lawoko, ATN IDTC Director via phone: (03) 9925 8353 or email DirectorIDTC@atn.edu.au
The Queensland University of Technology (QUT), in conjunction with the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) and the Australian Institute of Marine Science (AIMS), is offering a PhD scholarship in statistics.
The PhD scholarship is supported by the Industry Doctoral Training Centre (IDTC), and as such the PhD candidate will receive:
AIMS is tasked with monitoring submerged shoals off the coast of North Western Australia. This project will develop new statistical methodology in adaptive Bayesian design to help AIMS monitor more effectively.
For further information and details on how to apply, please click here.