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system modelling framework (utilising SysML) that effectively represents human-machine teaming in uncertain environments. This research will employ a systematic approach to refine the representation
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to safeguard surface water, have been overlooked in previous CIP 2&3 assessments. In addition to statutory Environmental Quality Standards (EQS), the Environment Agency has published the Prioritisation and Early
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environmental benefit, and enable smarter investments in water infrastructure and management. By joining this ambitious effort, you will contribute to improve the natural environment, the state of our rivers, and
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nature of the funding. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members
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of the funding Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral
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motivating alignment towards sustainability goals. Cranfield University provides the ideal environment for this research endeavour, offering a wealth of resources and expertise in engineering and digital
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applications from individuals passionate about addressing real-world challenges, in an inclusive and collaborative research environment. Funding This studentship is open to both UK and International applications
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manufacturers control and reduce their environmental footprint while retaining their economic performance in their value chains. Understanding and controlling scope 3 emissions for many manufacturing companies
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at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both research students
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In the quest for sustainable development, the manufacturing sector faces the dual challenge of minimizing environmental impact while enhancing operational efficiency. This PhD project aims