104 postdoc-in-distributed-systems-and-controls PhD positions at RMIT University in Australia
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will help you establish a track record relevant to the circular economy, sustainability and waste minimisation. It also provides a great opportunity to work with the Australian plant processing industry
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available One scholarship available A bachelor's or master's degree in materials and manufacturing engineering is required. A bachelor's or master's degree in materials and manufacturing engineering is
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. Applications are now open. Applications are now open. 30/9/2026 30/9/2026 Multiple positions Multiple positions A bachelor's or master's degree in information systems or information technology is required
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of English proficiency may be required. The project will provide numerous research and development opportunities including: Development of phenomenological and CFD models for aeration systems of sewage
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For Vietnam candidates 14 million VND. Scholarship duration is 3.5 years. Candidates are required to complete and pass three milestone evaluations at 12, 24 and 36 months before spending 6 months
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TJ Thomson at t.j.thomson@rmit.edu.au to lodge an expression of interest for this scholarship. The PhD Scholarship is attached to the Australian Research Council-funded project, DE230101233
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materials. This scholarship is valued at up to $33826 per annum for three years with a possible six-month extension. This scholarship is valued at up to $33826 per annum for three years with a possible six
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for the scholarship. Please contact A/Prof (andy.song@rmit.edu.au ) with your CV, academic transcripts, and an initial short paragraph of what aspect of AI for food and waste systems you might be interested in. Please
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qualitative and quantitative methods relevant to understanding socio-ecological systems Strong interpersonal and communication skills An ability to work collaboratively and productively as part of a team
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL