808 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in United Kingdom
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About us The UCL Institute for Global Health (IGH) is at the heart of UCL’s Grand Challenge of Global Health. The Institute’s vision is for a world where international policy on global health is
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experience in spatial analysis and/or machine learning methods, and an interest in applying these tools to urban and housing policy questions. The Fellow should demonstrate potential for producing high-quality
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field relevant to the interface of energy technology, economics, data science and public policy. Examples of relevant disciplines include (but are not limited to): any physical, mathematical, computer or
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for the provision of strategic leadership and vision. Developing and leading a team of academic/research staff and post-graduate researchers (PhDs) to deliver research outputs of outstanding quality. Obtaining
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Government policies and to inform innovation for industry leading to increased economic growth. Our main source of funding is from the Scottish Government funded Strategic Research Programme (SRP) which we
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with a strong background in computational modelling or scientific machine learning. You will also have the ability to conduct independent research and a developing track record of publications in
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enable early career academics to acquire a strong and well-rounded foundation to support future applications for substantive academic roles at Durham or elsewhere (no guarantee can be given that a
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to) fundamental research in machine learning or statistics, algorithm design, the application of AI methods in science, healthcare, social sciences, or business. You should have a PhD or equivalent level of
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for applicants that demonstrate strong research in one or more of the above areas backed by a strong publication record. Applicants must have or be close to obtaining a PhD in Computer Science. How to Apply Please
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modelling experience, an ability to work in a multidisciplinary team and engage confidently with partners. You will have a track record of publishing high impact journal articles, and will have a commitment