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-reality application development; modern AI techniques (such as computer vision or large multimodal language models); and/or human-computer interaction. Our industry partners are developing software
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, and costs of running diverse applications in large-scale distributed systems. This project offers researchers and students a chance to explore cutting-edge concepts in AI-driven infrastructure
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skills A collaborative approach and enthusiasm for interdisciplinary work Experience working with large-scale neuroscience data is desirable About Monash University At Monash , work feels different
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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This PhD project aims to mitigate the data scarcity of new NLP and Multimodal applications by developing novel active learning algorithms. In this project, the student will leverage large foundation
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is carried out within the LHCb collaboration that runs one of the four large experiments at the Large Hadron Collider at CERN as well as towards future collider developments. I supervise a number of
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large scale training data available.
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I work on a wide range of topics with my local group and in collaboration with numerous members of three large international collaborations. The main focus of my work is understanding how
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understand our place in the cosmos. I am a member of most large stellar spectroscopic surveys (e.g., Gaia, SDSS-V, 4MOST, GALAH, Gaia-ESO), providing access to pan-optic data across all visible and infrared
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improvement and accreditation. The PhD project will involve research and implementation work across a number of data engineering areas including database structure and schema design, efficient storage of large