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measurement in construction. The skills, qualifications and experience required to perform the role are: Hold (or be close to obtaining) a PhD in Computer Science, Civil Engineering, Data Science, Information
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backgrounds such as in computer science, mathematics (pure or applied), or engineering. The successful applicant will be highly motivated, have excellent time management, and a proven track record in
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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/ Associate in African heritage and geospatial data science. This is a fixed term appointment for 24 months. The post holder will work as part of the Mapping Africa's Endangered Archaeological Sites and