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AI PhD Scholarship - Opportunity: Foundation Models for Brain Data Job No.: 696618 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years
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, including difficulties understanding eligibility requirements, producing relevant documents, and navigating complex administrative processes. The PhD project will generate in-depth qualitative evidence on how
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protoplanetary discs matched to our nearest star-forming regions* Modelling outbursts in young stars during star cluster formation* Modelling how dust grows from micron-sized grains to km-sized planetesimals in
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interacting with these systems, including difficulties understanding eligibility requirements, producing relevant documents, and navigating complex administrative processes. The PhD project will generate in
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-preserving and capable of adapting to new environments without extensive retraining. Existing approaches often struggle with understanding complex human behaviour while satisfying privacy and real-time
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality
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with one of the following doctoral research projects. 1. AI-Aided Site Reconnaissance and Rapid Assessments for Settlement Upgrading How can spatial analytics, remote sensing, and machine learning models
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language models and continuous wearable data now make genuinely personalised, context-aware coaching feasible for the first time, while raising real questions about safety, equity, engagement, and cultural
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strategies for countering harmful narratives, promoting healthier models of masculinity and informing policy and platform governance approaches. This PhD scholarship will be based within the Faculty of Arts
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federated learning and multimodal deep learning models for healthcare. The project will focus on enabling privacy-preserving learning from distributed healthcare data sources, including longitudinal medical