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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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capability. Details of the relevant requirements are available at www.monash.edu/graduate-research/study/apply . A degree in Chemistry, Chemical Engineering, Materials Science Electrochemistry, Physics, or a
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the Humanities and Social Sciences (HASS) disciplines. one in the Science, Technology, Engineering and Mathematics (STEM) disciplines. Selection criteria Monash scholarships are highly competitive and are awarded
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high-performance computing infrastructure Opportunities to publish in leading AI conferences and journals (CVPR, ICCV, AAAI, NeurIPS, and equivalent) Training in research commercialisation and technology
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in an ecosystem of health, academia and industry, it delivers the research outcomes, skilled workforce, technology and partnerships to improve human health locally and globally. Supervisory team
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explore current techniques such as fine-tuning, model alignment, prompt engineering and Retrieval Augmented Generation (RAG) to improve reliability of generated recommendations for two cases of chronic
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with leading researchers in glass science/engineering and diffraction physics/crystallography in Australia and around the world. "Local structure and symmetry in metallic glasses" (with Assoc Prof Scott
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking an outstanding and highly motivated Research Fellow to join its internationally
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collaborators have recently been awarded an Incorporating Patient Data in Health Technology Decision Making Grant under the 2025 Preventative and Public Health Research Initiative of the Medical Research Future
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analysis, or multi-omics integration, with strong competence in deep learning frameworks (e.g., PyTorch/TensorFlow) and data engineering for reproducible research. Familiarity with cloud/HPC workflows