539 software-engineering-model-driven-engineering-phd-position positions at Monash University
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Testing AI/LLM systems Primary supervisor Yongqiang Tian Research area Software Engineering In
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The Opportunity Join the Faculty of Engineering as a Technical Officer to support the Student Analytical Makerspace and Pilot Laboratories (SAMPL) and Monash Innovation Labs (MiLabs). The Technical Officer is
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning
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, data extraction, project-specific data solutions, software and Gen AI use, and basic coding support for teaching and research. The role also promotes database capability through workshops, newsletters
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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paradigms rely on a fragile "closed-world" assumption: that the unlabeled pool perfectly reflects the distribution of the labelled seed set. In real-world deployments, this is rarely true. Data streams
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. Methods To make this pre-trained model, the student will script a virtual mouse model 13 to traverse through common behavioural apparatuses within a realistic simulation tool called Unreal Engine 14
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You’ll Bring Qualifications and Experience Diploma of Applied Science (Animal Technology), or progress toward completion with relevant laboratory animal facility experience, or an equivalent combination
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the University. Enquiries: Dr Yuxiang Wu, Materials Science & Engineering, yuxiang.wu@monash.ed Position Description: Research Fellow Applications Close: Sunday 22 February 2026, 11:55pm AEDT Supporting a diverse
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cyberbullying compared to 17.75% of nonsexually abused girls. There are also high rates of other criminal activities observed in social medias, such as scams, fraud and intellectual property crimes. This PhD