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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher
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Ltd—a leader in truck trailer manufacturing—will focus on developing AI and Digital Twin technologies to assess welding consistency and quality. The research will contribute to smarter, data-driven
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, as One Swinburne. How to apply and further information Please submit your CV and cover letter addressing why you believe you are suitable for this position. For further information about this position
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groups, and an awareness of security and ethical issues associated with working with health and sensitive data. A full list of selection criteria is available within the position description. About
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website to access the Position Description at the bottom of the page. For further information regarding this scholarship and related project, please contact Professor Xiaji Liu | xiajiliu@swin.edu.au Please
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) and computer simulation (FEA) Experience in material characterisation and experimental testings Knowledge in impact dynamics Passionate and have interest in pursuing PhD degree. Experience in research
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website to access the Position Description at the bottom of the page. For further information regarding this scholarship and related project, please contact Professor Xiaji Liu | xiajiliu@swin.edu.au Please
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, functionalising, and characterising nanoparticles for targeted delivery in the human body. Responsibilities also include in vitro cellular testing, data analysis from cytotoxicity and bioavailability studies, and
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and confident really helps. Some experience or familiarity with CNC machines, surface engineering or automated manufacturing systems. An interest in machine learning or data analysis, especially
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Information: Please refer to the following links for more information about the Research Training Program and relevant Swinburne policy Contact Graduate Research Office HDRscholarships@swin.edu.au