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Field
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cost reduction. You will develop novel mathematical models and algorithms in support of this. You will use AI tools in your applied research. You will be expected to independently corroborate and
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and analytics. The post holder will develop new optimisation models and algorithms to support operational and real‑time decision making in disaster response contexts, with the aim of improving resource
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, develop curricula and provide leadership contributions. You will have a proven track record of research outcomes in media and communication. Working in a research-based context, you will create innovative
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dynamic mobility of UAVs, limited onboard energy, and the stochastic nature of 3D wireless channels. Therefore, this project aims to develop novel reliable resource orchestration solutions for AEC by
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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real-time decision-making. The field is developing rapidly across academia and industry. The network community spans expertise in neuromorphic computing, hardware and chip design, microelectronics
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time on a 2-year Knowledge Transfer Partnership (KTP) to develop innovative AI-led plug-ins and interventions, and to transform the Business Computer Projects Accord warehouse management system (WMS
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of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems work — and how to design better ones. Why apply for this PhD? Work on the next-generation
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Based at: Business Computer Projects, Stockport The role: An exciting opportunity has become available for a graduate to work full-time on a 2-year Knowledge Transfer Partnership (KTP) to develop
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quasiperiodic potentials, requiring modeling techniques capable of handling extremely large system sizes. In this project, we develop algorithms based on active-learning tensor-network tight-binding strategies