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are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . Our Values and Commitments Our shared, stated values help to define who we are and underpin
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; cost, carbon or sustainability optimisation; uncertainty and sensitivity analysis; and machine learning or AI-supported optimisation. Strong analytical and programming skills are essential. Relevant
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. You will develop and apply state-of-the-art deep learning methods for land cover classification and change detection using multi-source aerial and satellite imagery. Working within an interdisciplinary
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: offshore wind turbines, wave tank experiments, fluid-structure interactions, sensors for offshore structural health monitoring, software development, machine learning and advanced AI modelling, and previous
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of a wider interdisciplinary team. You will have excellent communication and interpersonal skills, and be able to engage confidently with collaborators, students and external partners. Willingness
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to contribute to project delivery, research dissemination through publications and technical reports, and support collaborative activities with academic and industrial partners. About You You will have a PhD (or
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collaborative activities with academic and industrial partners. About You You will have a PhD (or close to completion) in a relevant subject, such as robotics, electrical/ electronic engineering, mechanical
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that into models using the results of the experimental work. You will have excellent oral and written communication skills and ability to collaborate across disciplines. About Us As a specialist postgraduate
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collaborators, students and external partners. Willingness to travel within the UK and, where required, to external analytical facilities is essential. About Us As a specialist postgraduate university
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interpersonal skills, and be able to engage confidently with collaborators, students and external partners. Willingness to travel within the UK and internationally for fieldwork and collaboration is essential