10 designer-"https:"-"https:"-"https:"-"https:" PhD positions at University of Birmingham
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Statistical methods are leveraged in many scientific applications to: specify a data collection practice (experimental design), draw conclusions from sparse and noisy data (inference), and assess
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
January 2027. This PhD explores the design of human-AI teams when the AI agents operate at ‘machine-speed’ (i.e., significantly faster than human cognitive and communication capabilities). The research will
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remained unclear for decades, and thus design principles for discovering new thermal battery materials have been lacking. In this industrially sponsored PhD studentship, we have partnered with AWE fund a 3.5
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intestinal wall, and how. You will design, microfabricate and characterise an actuator that delivers a mechanical stimulus to intestinal tissue with independent control over vibration parameters to exploit
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Advances in manufacturing science have resulted in unprecedented research and development in the design of ‘micro-swimmers’: microscopic entities that navigate fluid environments by converting some
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disease need to be tracked over weeks without the risk of obstruction. Devices that stay longer exist, but they carry a problem. A structure designed to resist peristalsis is also a structure that can
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of electrodes containing recycled material. Electrochemical evaluation of recycled cathode and anode materials. Development of design-for-recycling principles for future battery technologies. The project will be
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catalysis. Computational chemistry allows the design and discovery of new molecules and theoretical understanding. This is especially important when studying the behaviour of sensitive chemicals, like
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principles” is essential for rational materials design, but the underlying numerical simulations are computationally expensive, limiting studies to small systems and short timescales. This project will explore
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with predictable and repeatable operations. Autonomous systems need to be predictable and verifiable. Regulatory acceptance requires demonstrable evidence of safety performance. The complex design of