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We are excited to offer a fully funded PhD position at the intersection of big data, artificial intelligence, and urban mobility. The rapid development of big data analytics, along with advances in
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EPSRC PhD Studentship in: Big Data, Network Complexity and Machine Learning to Deliver Targeted Pro-active DWDS Maintenance Department of Civil and Structural Engineering PhD Research Project
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available on the topic of “Inequalities in utilisation of novel systemic anti-cancer therapies”. The student will work with “big data” to examine different inequalities (e.g by age, socio-economic position
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental endogeneity. Therefore, big
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orbital mechanics computer programming (in a compiled language such as C, C++, Fortran, or Julia) Experience in the following is advantageous: machine learning and/or artificial intelligence big data
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to reconstruct statistically meaningful flow fields. Despite their popularity, both approaches still present major challenges such as large amounts of high-resolution data (from direct numerical simulations
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to use large datasets (‘big data’) and the collection of data to be used in economic evaluations. Funding notes The three year studentship covers UK home tuition fees only and a tax-free stipend
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range of fundamental and applied research and has a large group of industrial funders and collaborators. You will be joining a great team of supportive and social PhD students working in three well
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analyses. Expertise will be gained in how to use large datasets (‘big data’) and the collection of data to be used in economic evaluations. Funding notes The three year studentship covers UK home tuition