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in simulated environments and with real data on real UAVs. Defining and calculating measures for levels of trust in the developed algorithms is essential. These uncertainty-aware algorithms can self
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of Sheffield is involved in the DUNE project with a broad range of responsibilities in detector construction, modelling and software development. This PhD project will focus on development of a methodology for
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explore data-driven methods including machine learning (ML) and artificial intelligence (AI) techniques, to develop predictive HMPM tools that can diagnose, detect, and predict faults in machinery
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Deadline: 31 October 2025 Details This project aims to develop new algorithms for reinforcement learning from human feedback, to effectively solve complex reinforcement learning tasks without a predefined
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usage. This requires the developed algorithm retain the knowledge learned in the past and use it to help future learning and problem solving. Therefore, the key to success for analysing long-term farming
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Award at the University of Sheffield. Are you ready to join a world-leading team and revolutionize how we see the nanoverse? We are seeking a highly motivated PhD candidate to develop the next generation