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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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vendors, each with their own management interfaces, data formats, and access restrictions. In parallel, AI-driven services are increasingly deployed in a distributed fashion, with inference spread across
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access restrictions. In parallel, AI-driven services are increasingly deployed in a distributed fashion, with inference spread across cloud, enterprise domains, and edge locations close to data sources and
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, nonlinear dynamical systems, robotics, and formal methods to develop principled models and algorithms for distributed decision-making in complex and uncertain environments. Your research The candidate will
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systems projects. We are developing the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid
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to develop principled models and algorithms for distributed decision-making in complex and uncertain environments. Your research The candidate will develop a novel hierarchical control framework
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the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid, AllScale and the ENTICE project. We
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. Dr. Tiziano De Matteis (who will be co-supervisor), is an Assistant Professor in the group. His interests are on Parallel and Distributed Computing with a focus on systems and programming models
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Engineering, Applied Physics, Applied Mathematics, Computer Science/Engineering, Geomatics, or a related field. You have knowledge of distributed, parallel, and high-performance computing suitable for handling
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). Strong academic background and competencies in parallel programming, distributed computing, and performance engineering. Familiarity with accelerator programming (e.g, GPU), hardware programming, high