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qualification/experience in Robotics, Engineering, Computer Science, Maths or closely related discipline (e.g. social science applied to technology). Expertise relevant to one of these areas: distributed AI
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to parameterise and test new models and compare findings with geophysical datasets and historical eruptive records. There will also be the opportunity to contribute to an experimental program relevant
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The project: The domain of High Performance Computing (HPC) effectively utilises massively multicore computers that facilitate the distribution of scientific workloads across thousands of compute
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The project: The High Performance Computing (HPC) services of today provide the computational density to perform groundbreaking science. These services facilitate the distribution of a problem space
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) and BOPS (https://www1.gly.bris.ac.uk/BOPS/ ) research projects. The post-holder will conduct research to advance the use of high-density “nodal” arrays and/or Distributed Acoustic Sensing (DAS) to: (i
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. We are especially interested in candidates who complement and extend our existing AI research portfolio in areas including: Natural Language Processing and Large Language Models Distributed and
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Language Processing and Large Language Models, Distributed and Collective Artificial Intelligence, Reinforcement Learning and Multi-agent Reinforcement Learning or alternatively, from candidates innovating with AI in