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opportunity to be part of an ARC funded project with the Queensland Department of Education, and to also work with researchers from Griffith University and University of Southern Queensland. The candidate will
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Education, training and/or relevant experience equivalent to completion of a degree together with at least four (4) years’ relevant experience. Demonstrated ability to work effectively as part of a team that
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an advantage. Quantitative analysis skills (e.g., statistics, network analysis, or modelling) or an ability and interest to develop these skills would be an advantage. How to apply To apply for this scholarship
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-edge AI/ML algorithms to pioneer innovative solutions for optimizing smart motorways and/or arterial traffic flow. By leveraging these technologies, the project endeavours to develop and test smart
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development and training program to develop your applied research skills. Successful students are subject to the policies, procedures and guidelines of QUT in addition to the CSIRO Industry PhD Program terms
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& Environment (HSE). The portfolio also has strong links to and works closely with QUT’s Oodgeroo Unit and Human Resources.. What you need to succeed Education, training and/or relevant experience equivalent
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Mathematical and numerical models of piezoelectric wave energy converters (MPhil or PhD scholarship)
into question 2 of the financial details section. About the scholarship This scholarship is funded by an Australian Research Council Discovery Project that aims to develop mathematical and numerical models
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). It’s a chance for you to get help with enrolment, learning skills, language expectations and our technology and teaching systems. You will receive program information to your student email. Introductory
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social and cultural challenges and possibilities of Generative AI. Staffed by a multidisciplinary team led by Distinguished Professor Jean Burgess, the Lab aims to develop, disseminate and apply new
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to develop, disseminate and apply new sociotechnical research capabilities specific to Generative AI, combining critical, technical, and externally-engaged approaches. The GenAI Lab is aligned with QUT’s