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deferred. Every scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details, visit our
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Machine learning, dynamical systems theory, control theory, signal processing, network theory, neuroscience are all relevant and a student should have strong knowledge in at least one of these and a
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, decision-making processes, and even democratic institutions. Large language models (LLMs) have shown tremendous potential in natural language understanding and generation. This research aims to harness
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partially observable Markov decision processes (POMDPs). Methods in Ecology and Evolution , 12 (11), 2058-2072.
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scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details, visit our scholarships application
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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creative ambition, ensuring programs are supported by high-performing teams, integrated digital platforms, trusted data, and streamlined processes, positioning Monash to deliver impactful campaign outcomes
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-making and ensures the sustainable operation of teaching, research and service delivery activities. The position is responsible for providing financial support and guidance to managers and staff across
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, sexualities, and age groups. Should you require any specific support or adjustments throughout the recruitment process and beyond, please get in touch at hr-recruitment@monash.edu and we'll be happy to assist
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automatically considered. For current Monash students, apply directly to Monash. This scholarship cannot be deferred. Every scholarship may have a different application process – or none at all. Read