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Industry-based HDR project open for Domestic Students in Australia (Citizens and Permanent Residents) at RMIT University in collaboration with Consunet Pty Ltd. The scholarship is supported by the CSIRO Next Generation Graduate Program. Industry-based HDR project open for Domestic Students in...
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to the designated supervisor for consideration. The awarding of the PhD scholarship is contingent upon successfully passing the interview process. Basic knowledge in cell biology is highly desired. Basic knowledge in
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. Degree and/or knowledge of core chemical engineering disciplines such as reaction engineering, kinetic and process simulation. Excellent written and verbal communication skills. Problem-solving experience
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quantitative methods. Expected outcomes include new knowledge on designing for technology-supported wellbeing, particularly when using human-centred AI. The project will involve critical analysis of existing
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to Ganesh.Veluswamy@rmit.edu.au and kalpit.shah@rmit.edu.au Strong fundamental knowledge of chemical engineering principles, reaction kinetics, reactor designs and numerical modelling is important. Strong fundamental
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a background in an education or social science related field is ideal. Knowledge of gender equality, diversity and inclusion would be considered advantageous. People from traditionally
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) economy Desirable • Knowledge of carbon accounting, GHG methodologies, sustainability reporting frameworks (SASB/ISSB), circular economy and textile sustainability. Well-developed verbal and written
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skills with R, C, C++ or Python. Desired: Knowledge or experience with spatial statistics, spatial modelling or GIS; Some knowledge with ecology; Excellent writing and communication skills; Experience with
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of fashion and textiles, and knowledge/understanding of the Australian fashion industry, Life Cycle Analysis, environmental protection, product stewardship and circular economy Collaborative, confident
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will generate new knowledge in the area of IoT Trust by developing novel techniques to establish trust in highly dynamic crowdsourcing IoT environments. The project's main outcomes include