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of Science . Eligibility You must: be either a domestic student, an onshore international student or an offshore international student who already holds study rights to study a PhD in Australia meet QUT's
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What you'll receive You'll receive a stipend of $33,637 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration includes an extension of up to six months if approved
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What you'll receive You'll receive a stipend of $32,192 per annum for a maximum duration of three and a half years while undertaking a QUT PhD. The duration includes an extension of up to six months
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-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
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submission of a proposal as to how the funds would support the advancement of your research work, for example: field work, conferences, community engagement, professional networking, or RA support. As the
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placements (honours, master degree, PhDs) and create a community of students who will learn together as they tackle these research challenges. More information including available projects and how to apply
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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...
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What you'll receive You'll receive a stipend scholarship of $32,500 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. This is the full-time, tax-free rate. If you're
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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
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) 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