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Field
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PhD Studentship: Robust quantum control for quantum error correction The development of fault-tolerant quantum computing is one of the most coveted aims of quantum technology. It will bring about a
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theory, robust and optimal control, and physics-informed modelling, this research aims to bridge the gap between data-driven learning and dependable real-world autonomy. Aim You will have the opportunity
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safety-critical domain, reducing hallucinations and improving robustness and trustworthiness are essential. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based
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vulnerabilities like side-channel attacks and unauthorized access, which can compromise system integrity. Developing robust security measures within AI-enabled electronics is essential for applications in defence
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science and its application to real-world technologies. This project aims to redefine how dielectric failure is understood and controlled, introducing a new architecture-led design approach rather than
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, and restricted analytic control within platform-based datasets, ensuring transparent and robust interpretation of findings. The project aligns strongly with current healthcare priorities through its
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an important part of integrated work on animal health, disease control, and prevention. From a systems perspective, biosecurity interacts with other measures such as animal health monitoring, vaccination, and
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-sensor data fusion. AI-enabled monitoring and control: closed-loop strategies (e.g., MPC, adaptive and learning-augmented control) with emphasis on robustness and constraints. Are you motivated to take a
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digital twins and advanced analytics. The work will support equipment-level deployment of predictive maintenance services while ensuring robustness, explainability, and alignment with industrial reliability
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, leveraging a principled combination of passivity-based control methods, machine learning, and human-in-the-loop systems to enable robust teleoperation in uncertain and delayed communication environments. Key