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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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PhD scholarship opportunity: Bias in generative AI-driven decision systems Job No.: 680086 Location: Caulfield campus (with possible collaborations at the Clayton campus as needed) Employment Type
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automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms
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Scholarship in CSIRO Industry PhD Program - Project 1: Resilient & Practical Quantum-Safe Threshold Cryptography Job No.: 678541 Location: Clayton campus Employment type: Full-time Duration: 4-year
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Levin Kuhlmann Research area Machine Learning We are seeking a highly motivated and innovative PhD student interested in exploring the opportunities for using AI to enhance personalisation of services and
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PhD Scholarship – Natural Interaction Strategies for Long-Term Robot Use for Elderly Care Job No.: 672833 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term
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PhD Scholarships in CSIRO Next Generation Graduate Program: Quantum Information Technology: Industry Readiness and Applications Job No.: 677344 Location: Clayton campus Employment Type: Full-time
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PhD Scholarship Opportunity – Software Engineering for Social Good Job No.: 677910 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment The Opportunity
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain
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is highly complex. For the proposed PhD project, experimental data are already available that bring together maps of orientations of such crystals together with the deformation pattern generated during