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external control. Autonomous agents that can perceive, reason, plan, act, and learn, together with self-configuring, self-healing, and self-optimising behaviours, provide the foundational principles
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accountably. This is where you come in. Your mission Working at the intersection of privacy research and real-world engineering, you'll design and build a computational stewardship engine—an autonomous agent
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, and motivated to improve workplace safety in healthcare technologies and to work across research, industry, and medical engineering. Methodology The overall aim of the project is to design and evaluate
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the frameworks necessary to continuously verify AI safety in operational contexts, leaving systems vulnerable to unpredicted behaviors. The proposed framework provides a comprehensive solution by designing
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testing potential drug candidates in high-throughput. One of the barriers to the discovery of new medicines is the time taken to design, synthesise and test compounds through multiple cycles of optimisation
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research, industry, and medical engineering. Methodology The overall aim of the project is to design and evaluate processes that integrate formal requirements and formal specification-based automated test
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deliver the first comprehensive CFD-DEM model of the quartz chlorination process, providing mechanistic understanding and predictive tools for industrial-scale process design. The outcomes will directly
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multi-disciplinary, conducting innovative, internationally recognised research in power electronics systems. We specialise in the design and implementation of hardware and control algorithms for real
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. Our implant combines photonics, microelectronics, embedded systems, advanced implant probe design and signal processing. There are opportunities for students from a variety of backgrounds to work on the
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Newcastle University through the Industrial Doctoral Landscape Award (IDLA). The project runs alongside the £8m D-Suite Beta Strategic Innovation Fund project. As an IDLA PhD student, you will be offered