53 phd-in-architecture-landscape-built-environment Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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Science in the University of Southampton. ActivATOR will develop novel machine learning models that enable robots to leverage the motion of their own bodies (‘egomotion’) to make sense of acoustic environments
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requirements We are looking for a candidate who meets the following essential criteria: A PhD (or be close to completion*) in Biotechnology, Engineering, Microbiology, or a related field or equivalent experience
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-of-the-art neuromorphic compute architectures. Collaborate with the neuroscience, engineering, and computer science RAs to develop demonstrator applications, and to conduct research, publish, and disseminate
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-of-the-art neuromorphic compute architectures. Collaborate with the neuroscience, engineering, and computer science RAs to develop demonstrator applications, and to conduct research, publish, and disseminate
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should have required qualifications and experience Education: PhD in Biomedical Engineering, Electronic Engineering, Mechanical Engineering, Materials Science, or related disciplines with a strong academic
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extraction and data analysis. We invite applications from candidates who have a PhD or equivalent qualifications and experience in a quantitative field, such as Statistics, Medical Statistics, Health Services
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partners that aspire to develop the next generation of inverter control. It is essential to have a PhD* or equivalent professional qualifications in Electrical/Power Systems, and especially in the areas
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. The Research Fellow will join an international team in the project “Imaging the magma storage region and hydrothermal system of an active arc volcano”, funded by the UK Natural Environment Research Council and
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will hold a PhD in a relevant discipline or equivalent experience. Candidates who are working towards a PhD will be considered for appointment as a Senior Research Assistant. Experience in undertaking
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address this, you will adopt a novel "top-down" strategy, directly opposed to the current materials discovery methods, to accelerate materials development for creep-fatigue environments. Specifically, you