-
What you'll receive You will receive a living stipend scholarship of $33,637pa for a period of 3.5 years. This payment is indexed annually, and will be tax exempt for full-time students. In addition you will receive: a QUT Tuition Fee Sponsorship single Overseas Health Cover. You will have the...
-
advantageous. You will also gain experience in working and communicating with researchers from multiple disciplines outside of your field, further diversifying your potential career pathways post-PhD
-
-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near completion) have applied for admission to a PhD program at an Australian university or have completed
-
Australian. Eligibility To apply for this scholarship, you must meet the entry requirements for a Doctor of Philosophy (PhD) at QUT, including any English language requirements for international students. In
-
requirements for a Doctor of Philosophy (PhD) at QUT, including any English language requirements for international students. The essential criteria for the scholarship include: not be in receipt of another
-
What you'll receive You will receive: a minimum of $30,000 per year, for 3 years a QUT tuition fee sponsorship (for international students). Eligibility You must: fulfil our PhD admission criteria
-
What you'll receive The CSIRO Industry PhD Program (iPhD) is a four-year research training program that focuses on applied research and working with the industry sector. It aims to produce the next
-
What you'll receive The P2P program provides financial support if you're: studying a PhD or professional doctorate articulating from a QUT Master of Philosophy into a PhD undertaking a postdoctoral
-
Application dates Applications close3 December 2024 What you'll receive You'll receive a stipend scholarship of $33,637 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The
-
) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed