10 machine-learning Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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of this postdoctoral research position is to support the design of elastic aircraft with a combination of aerodynamic tools of different fidelity, and the development of machine learning technologies in the context
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research on Data Analysis/Machine Learning for Distributed Acoustic Sensing (DAS) in the context of the recently awarded UKRI grant ‘SOUNDSCALE: Sensing On Urban Noise: Distributed Sensing For Collaborative
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research on Data Analysis/Machine Learning for Distributed Acoustic Sensing (DAS) in the context of the recently awarded UKRI grant ‘SOUNDSCALE: Sensing On Urban Noise: Distributed Sensing For Collaborative
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smart cities. To be successful you will have: PhD in Computer Science, Data Science, Machine Learning, Electrical Engineering, or a related field with focus on speech processing, edge computing, TinyML
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technologies and lithium-ion batteries. You will utilise our facilities to synthesis and characterise materials and devices for synchrotron experiments. We have developed cutting edge tools that include machine
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of Computer Science at the University of Liverpool as a Lecturer (Assistant Professor). His research interests include safety-oriented design and verification of machine learning techniques, as
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simulation tools for loads calculations; Experience with developing, training, and optimizing neural networks or other machine learning models. For this position we are targeting a salary corresponding to
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questions in geospatial, biological, and oceanographic fields. Data analysis methods may include machine learning, AI, uncertainty quantification, and data assimilation. Applicants should have: A doctorate
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networks or other machine learning models. For this position we are targeting a salary corresponding to Level 4 Spine Point 28 - 30. Actual compensation offered will be determined by factors such as job
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include machine learning, AI, uncertainty quantification, and data assimilation. Applicants should have: A doctorate completed or near completion in a relevant discipline or equivalent qualifications and