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cristiano-dsantos avatar
@cristiano-dsantos
fully funded PhD scholarship is available on “Fair & Secure Federated Learning for Generative AI” at The University of Queensland
fully funded PhD scholarship is available on “Fair & Secure Federated Learning for Generative AI” at The University of Queensland

 We are seeking a strong, self-motivated student with a passion for privacy in AI. Experience or knowledge of distributed systems, federated learning, adversarial machine learning, and Gen AI is a … Read More Read More

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s.adams avatar
@s.adams
Machine Unlearning for Privacy-Preserving Cross-Modal Retrieval Systems (Ref: CO/GC-SF6/2025)
Machine Unlearning for Privacy-Preserving Cross-Modal Retrieval Systems (Ref: CO/GC-SF6/2025)

About the Project This PhD project addresses the critical challenge of selective information removal and privacy preservation within cross-modal retrieval systems. Contemporary cross-modal architectures require effective mechanisms to selectively forget … Read More Read More

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s.adams avatar
@s.adams
Neural Machine Unlearning for Privacy-Preserving Information Retrieval: Novel Methods and Corrective Mechanisms (Ref: CO/GC-SF5/2025)
Neural Machine Unlearning for Privacy-Preserving Information Retrieval: Novel Methods and Corrective Mechanisms (Ref: CO/GC-SF5/2025)

About the Project This PhD project addresses the critical challenge of machine unlearning within neural information retrieval (NIR) systems. Contemporary NIR architectures require effective mechanisms to selectively remove specific data … Read More Read More

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s.adams avatar
@s.adams
Developing Continual Adaptive Learning Techniques for Large Language Models in Neural Information Retrieval (Ref: CO/GC - SF4/2025)
Developing Continual Adaptive Learning Techniques for Large Language Models in Neural Information Retrieval (Ref: CO/GC - SF4/2025)

About the Project This PhD project investigates the critical challenge of catastrophic forgetting in neural information retrieval (NIR) systems. Contemporary NIR architectures exhibit significant performance degradation when integrating new information … Read More Read More

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antonio avatar
@antonio
Cognitive Monitoring of Human Operators using Multi-modal Artificial Intelligence (Ref: AAE-MM-2407)
Cognitive Monitoring of Human Operators using Multi-modal Artificial Intelligence (Ref: AAE-MM-2407)

About the Project Please note that this project is not University-funded. You will need to secure external funding to cover your tuition and living expenses. This PhD project aims to … Read More Read More

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zoe-tl avatar
@zoe-tl
Trusted-Edge and Semantic-based Approach for Dependable IoT and Smart Systems
Trusted-Edge and Semantic-based Approach for Dependable IoT and Smart Systems

About the Project The integration of sensors and embedded devices for the purpose of data acquisition to support human activity recognition, management of living challenges, and behavioural patterns for the … Read More Read More

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olivia avatar
@olivia
daisyli avatar
@daisyli
Computer-Aided Discovery of Photo-Responsive Metal Organic Frameworks for Energy Efficient CO2 Capture
Computer-Aided Discovery of Photo-Responsive Metal Organic Frameworks for Energy Efficient CO2 Capture

About the Project The rising atmospheric CO 2 level necessitates the development of advanced carbon capture technologies. Nanoporous materials with their high surface area and tunable pore structures, are promising … Read More Read More

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s.adams avatar
@s.adams
Semantic-Aware Data Deduplication for Efficient and Reliable Machine Learning Training (Ref: CO/GC-SF7/2025)
Semantic-Aware Data Deduplication for Efficient and Reliable Machine Learning Training (Ref: CO/GC-SF7/2025)

About the Project The exponential growth of training datasets in machine learning, particularly in natural language processing (NLP), has highlighted the critical challenge of data duplication. Duplicate or near-duplicate content, … Read More Read More

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lauranagel avatar
@lauranagel
Application of Data Science and Artificial Intelligence (AI) in Oil and Gas Production Systems
Application of Data Science and Artificial Intelligence (AI) in Oil and Gas Production Systems

About the Project These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level … Read More Read More

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