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information about the dielectric properties of the surface and can therefore be used to infer changes in soil moisture. A major focus of the PhD will be to develop, test and improve robust GNSS-IR processing
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. Perform atmospheric retrieval analyses to infer chemical compositions and temperatures from exoplanet spectra. Determine the frequency of water worlds and compare results to predictions of planet formation
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been directly observed in planet forming discs around young stars (protoplanetary discs) and is inferred to be occurring around black hole discs. My research projects use a combination of 3D and 1D
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the evolution of massive binary stars into compact binaries as sources of gravitational-waves and astrophysical inference on gravitational-wave observations. My research group on massive binary evolution -- also
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of nearby molecular clouds and the Milky Way. The multidimensional structure and characteristics of bubbles, voids and cavities of galaxies. Inferring the physics driving star formation using probability
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modern causal inference methods. Applicants should have completed an Honours degree, a four-year bachelor’s degree, or a master’s degree with excellent results and a research component in economics
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for Bayesian/statistical modelling with uncertainty analysis or programming skills in Python, MATLAB or equivalent and a background in hydraulic, kinetic or systems models. Also highly desirable to have
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Inference Tool (GAMBIT) Community to study theoretical frameworks that extend the standard models of particle physics and cosmology, with the aim of uncovering the nature of dark matter, dark forces, and dark