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partially observable Markov decision processes (POMDPs). Methods in Ecology and Evolution , 12 (11), 2058-2072.
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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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Process: To submit an Expression of Interest (EOI), please: Check your eligibility. Ensure you meet Monash University’s minimum entry requirements for a PhD and English Language Proficiency standards
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selection process: Your research will align with and contribute to the Discovery Project programme of research through a focus on the contemporary potential for public bathrooms to positively influence cities
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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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ironmaking, addressing critical challenges in the transition to sustainable metallurgical processes. The successful candidate will develop a fundamental scientific framework to tackle key research questions in
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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
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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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of the common first year: Aerospace engineering Chemical engineering Civil engineering Electrical and computer systems engineering Environmental engineering Materials engineering Mechanical engineering Robotics