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the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework
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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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for the next generation of models is the detailed treatment of spin precession and orbital eccentricity. These effects encode critical information about compact binary formation channels and evolutionary
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signals from the star itself. Especially in radial velocity data, essential to measure a planet's mass, these signals are often larger than the planet signals. With Dr Annelies Mortier, projects
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evolution. The project is about collecting data and analysing it in search for circumbinary planets. At Birmingham we search for such signals using radial-velocities, and the transit method, which means we
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of telescopes across the world to do this work as well as a telescope located in Antarctica called ASTEP. We also analyse data obtained by NASA’s TESS satellite to complement our analyses. SPECULOOS and ASTEP
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Driven by our data hungry society, chip-to-chip and device-to-device data bit rates will need to reach terabits per second in a not distant future. Such data rate will only be met if there is a
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to explore the properties of exoplanet atmospheres and interpret atmospheric observations. Information about the Sun, Stars & Exoplanets research group in Birmingham can be found at https
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An interdisciplinary and international research environment Professional development in research communication, data analysis, and project management How to Apply Please send the following documents as a single PDF to
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learning and experience in two or more of: computer vision, sensors/sensor fusion, robotics fundamentals. • Proficient in programming languages such as Python and C++; experience with frameworks such as