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Deadline: 30 June 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing”. This position is
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. This project offers a unique opportunity to contribute to both theoretical algorithm design and practical deployment in aerospace systems. Eligibility This studentship is funded through an industrial
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self-motivation, research-oriented thinking, and a drive for getting real robotic systems up and running are all essential traits in members of this lab. Appointment at Research Associate level is
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supervisor and it is also expected that the student will spend some time at the ITP Aero Hucknall site throughout the PhD. Titanium and Nickel alloys are strategically important in aerospace due to their high
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
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) of high-value critical assets. Through this PhD research, algorithms and tools will be further improved and developed, validated and tested. It is expected that combining the domain knowledge and the
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to reach carbon net zero by 2050. Between 40 to 50% of the carbon footprint of a litre of milk is attributed to CH4 production in the rumen (Huhtanen et al., 2022) which also has a negative impact on animal
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Competitive athletes of various standards are continually striving to enhance exercise performance outcomes. A common approach to enhance exercise performance and post-exercise recovery is the
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is in collaboration with a commercial funder, there will be an expectation that the candidate engages with the company for updates and scientific discussions. They should therefore also have a passion
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Supervisors: Dr Jun Jiang (Reader), Mechanical Engineering Department Deadline for application: 30/10/2025. Early submission is encouraged. Funding mechanisms: Fully funded by Imperial College, IDLA