533 software-engineering-model-driven-engineering-phd-position positions at Monash University
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Recent advancements in foundation models have significantly improved AI systems' capabilities in autonomous tool usage and complex reasoning. However, their potential for location-based and map
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modelling to the various limitations of representing complex systems while informing decision making, generates many interesting theoretical and practical questions. This PhD research focuses on decision
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intelligence”, Business Horizons 62(1) • November 2018. Heidegger, Martin. The Question Concerning Technology and Other Essays. Harper and Row, New York, 1977. Ihde, Don. “Philosophy of technology.” In
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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Inference Tool (GAMBIT) Community to study theoretical frameworks that extend the standard models of particle physics and cosmology, with the aim of uncovering the nature of dark matter, dark forces, and dark
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
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chemistry. Open-source software tools that bridge the gap between IT-driven deep learning research and practical analytical chemistry applications.
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often raise ethical, pedagogical, and fairness concerns, including issues of bias, explainability, and learner agency. The rise of Generative AI and large language models (LLMs) further intensifies
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and data-driven insight. Your work will span engineering design and testing, laboratory and field experimentation, trial coordination, advanced data analysis, and research administration. You will plan
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. You will also supervise Honours, postgraduate, and/or PhD students, fostering a supportive and engaging learning environment. Alongside teaching, you will actively pursue a strong research agenda