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package deployment. This role will also be responsible for driving continuous improvement through automation, defining and operating end user technology. Reporting Line Reports to: IT Customer Services
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to life, across the globe. Each of these functions supports the global operations of the University both directly as well as through its controlled entities To Apply Please submit your CV and covering
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library. Well-developed knowledge of automated Library systems, preferably Ex Libris products (Alma and Specto). Demonstrated aptitude and skills in using a range of software applications (e.g.: Microsoft
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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. The Portfolio is integral in bringing the RMIT strategy to life, across the globe. Each of these functions supports the global operations of the University both directly as well as through its controlled entities
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the University, its controlled entities, and the broader People team. The role is central to generating meaningful insights from workforce data, preparing high-impact commentary for senior leadership reporting
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materials, RF and optical design, and programming of instrument control and user interface. It is expected that the Research Assistant will work with an increasing degree of autonomy as skills and experience
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development of Safe Work Method Statements (SWMS) and Job Safety Analyses (JSA). Financial & Budget Control: Forecast, track, and control project costs and budgets across the project lifecycle. Prepare and
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control: algorithm development for decision-making under constraints. Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization
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control: algorithm development for decision-making under constraints. Required skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization