31 phd-position-in-information-retrieval PhD positions at Queensland University of Technology in Australia
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an extension of up to six months (PhD) or three months (MPhil) if approved for your candidature. This is the full-time, tax-free rate which will index annually. You will receive a tuition fee offset/sponsorship
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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 $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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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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prosper in careers in Australia’s data-skilled workforce. Our PhD scholarship program provides opportunities for outstanding postgraduate students with demonstrated academic and research excellence
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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
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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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Application dates Applications close7 July 2025 What you'll receive For Master of Philosophy students, you'll receive: a top-up stipend scholarship of $10,000 in equal instalments. This is the full
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. For more information about the application process, email About the scholarship As the successful applicant you will complete your PhD in the field of organic photochemistry for advanced reprogrammable
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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