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to develop novel AI approaches for automated behavioural monitoring from underwater video, contributing across computer vision, machine learning, edge AI and interpretable decision-support systems
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research will develop and apply novel Bayesian machine learning methods – in particular physics-informed Gaussian processes and/or neural operators– to build accurate probability density functions (PDFs
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and climate adaptation worldwide. Your research will develop and apply novel Bayesian machine learning methods – in particular physics-informed Gaussian processes and/or neural operators– to build
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programming languages is required, and experience with the current ATLAS software, computing and particularly the tracking software would be particularly desirable. Experience with machine learning and
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experience. Expertise in any of the following topics would be particularly welcome: statistics, data mining, machine learning, stochastic modelling, forecasting, simulation. Applications are by letter of
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security markets, delivering advanced technologies and solutions to both military and civilian customers. Leonardo’s UK Electronics Division specialises in semiconductor growth, device fabrication, and
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revision techniques, and participating in teaching reviews and quality assurance processes. We are particularly looking for candidates who are passionate about creating an outstanding lab-based learning
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Intelligence and machine-learning approaches and emerging digital technologies such as non-contact sensors, smartphones, and computer tablets. This theme could also include research in data analytics and
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science or computer science. demonstrable programming skills (e.g., Python, R) and experience handling spatial datasets. experience of probabilistic modelling, geostatistics, or machine learning. ability
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, Artificial Intelligence, or distributed systems. Direct experience within AI security, Adversarial Machine Learning, or workload anomaly detection would be a bonus. Findings of this research are intended to be