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the structural design of porous materials. The project sits at the intersection of capillarity, porous media, microfluidics, and advanced manufacturing, with a particular focus on how 3D-printed architectures and
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, Cloud Engineering to support the delivery of key Information and Communications Technology program (ICT) initiatives that help shape the future of education, research, and innovation. Why join the
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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culture of entrepreneurship within the Arts, Design & Architecture (ADA) faculty by designing and delivering programs for students, staff, and alumni. Working closely with leaders across ADA and the UNSW
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solutions — spanning projects, platforms, applications and shared infrastructure services. You’ll ensure solutions align with enterprise architecture roadmaps, governance standards and strategic priorities
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management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load
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presence of irrelevant features can conceal the presence of anomalies. For this we propose to explore architectures such as deep belief networks (DBNs) as they are a promising technique for learning robust
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. Robust, flexible, integrated and agile enterprise architecture, information and technology services are vital to enabling the university strategic objectives. About the opportunity You will operate
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, flexible, integrated and agile enterprise architecture, information and technology services are vital to enabling the university strategic objectives. About the opportunity You will operate independently and
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School of Architecture, Design and Planning (ADP) – Faculty of EAIT 2x part-time (60%), fixed-term positions for up to 31/12/2027 Base salary will be in the range $117,120.53 - $138,769.70 + 17