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) is seeking a talented academic to join as a Lecturer in Machine learning and Computer Vision. We are looking for a teaching and research academic with a strong expertise in applied AI and current
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comprehensive metadata schema is followed, consistent with relevant industry standards (e.g., ISO 19115). 2. Geospatial Analysis and Machine Learning: Develop and implement analytical tools and routines
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location About This Opportunity Information Technology Services (ITS) delivers the digital foundations that support UQ’s teaching, learning, research, and engagement. As the first point of contact for all
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degree in a relevant discipline with a research component, or equivalent research experience. Experience in one or more of: data analysis, data visualisation, statistics, text analytics, or machine
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management and machine learning. Our research focuses on how core data systems can enhance AI, and how AI can improve the scalability and intelligence of data infrastructures. We’re looking for a motivated
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on your own. Learn from experienced colleagues and develop new skills across multiple disciplines. Outstanding Benefits 20 days annual leave per year. 10 sick days annually. 5 carers’ days (non-cumulative
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impact—supporting the learning experiences of future clinicians and contributing to a community that’s driven to create positive change in Queensland and around the world. Key responsibilities will include
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working with students on placement, and/or demonstrated exposure to teaching and learning activities such as WIL, student administration or other similar in an educational context. High level computer
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services or facilities to improve the research, teaching, and learning missions of the University. Any other duties as reasonably directed by your supervisor. About UQ As part of the UQ community, you will
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the Learning Enhancement Team. This includes data extraction, cleaning and analysis; student load modelling; plan, program and curriculum learning visualisation and analysis; thematic analysis of student