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to establish effective working relationships with a wide range of senior internal and external stakeholders. Highly proficient computer literacy with excellent skills in Microsoft Office applications including
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with complex matters, preferably within a Higher Education setting. You demonstrate an ability to interpret and apply legislation, policies, procedures and processes, and acquire knowledge to inform
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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
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Skills: Able to lift and move stock safely using proper manual handling techniques. Good communication skills Basic computer skills and willingness to learn further Role Requirements: As this is a
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and passionate individuals who share our values and vision. RMIT University has a global reputation and ranks 125th globally and 10th in Australia in QS World University Rankings 2026. To learn more
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across digital environments. You will possess experience in digital measurement, insight and reporting best practice with an understanding of machine learning and AI trends. You will possess demonstrated
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. Leverage library systems, data analysis tools, and scripting languages to monitor data quality, automate checks, and facilitate data remediation Explore, evaluate, and recommend AI/Machine Learning tools and
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contributions towards external activities Demonstrated expert knowledge in machine learning, AI, and bio-signal processing Experience in conducting research projects, with demonstrated high-level written and oral
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ability and proficiency in the effective use of computer applications and business systems. Proficient in the use of Finance systems and ability and willingness to learn. Demonstrated ability to work in a
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position will support the Cavitation Research Laboratory (CRL) team at the Centre for Maritime Engineering & Hydrodynamics (CMEH) in completing its research and learning objectives. The position is funded by