152 phd-computer-engineering-"Diamond-Light-Source"-"Diamond-Light-Source" positions at Queensland University of Technology in Australia
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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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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 will receive a Women in Electrical Engineering top-up scholarship of up to $25,000. The scholarship is paid on a fortnightly basis and is tax-exempt for full-time students
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of Engineering. The Lecturer/Senior Lecturer of Architecture will play a pivotal role in the delivery of the school’s flagship courses, including curriculum development in our Architecture discipline. The
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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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full-time study in one of these courses in 2026: EN01 Bachelor of Engineering (Honours) (Civil) EN40 Bachelor of Engineering (Civil) EV11 Bachelor of Engineering (Honours) / Master of Sustainable
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introduced to and gain access to mentors through their academic supervisor or an engineering professional in industry. This scheme also provides a pathway to the QUT Indigenous Australians PhD/Professional
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of Engineering. Construction and Project Management at the Queensland University of Technology (QUT) is highly respected for industry connections and real-world application of theory, and evidence-based practice
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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