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Field
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. The goals are to test fundamental theories of physics (like Quantum Electrodynamics), to determine fundamental constants (like the proton-electron mass ratio), and to search for physics beyond the Standard
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needs to be supplied with rigorous uncertainty analysis. The focus of this project is on the mathematical theory enabling these advances, via asymptotic analysis and nonparametric modeling. You will work
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Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart materials that combine memory and learning directly within their structure, uniting theory and
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: - Have (or be close to completing) an MSc in computer science or a related field. - Have an interest in both theory and practice. - Have strong programming skills and interest in developing state
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network theory and computational approaches to study social dynamics that shape behaviour. Using survey and registry data, the project will map social networks and develop agent-based models linking
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: Have (or be close to completing) an MSc in computer science or a related field. Have an interest in both theory and practice. Have strong programming skills and interest in developing state-of-the-art
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using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out the methods and
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are looking for highly motivated and curious PhD candidates who possess relevant expertise in (the theory & methods of) cognitive and experimental psychology, statistical modeling and data science, and open
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methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out
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transitions and requires an interest in both theory development and engagement with practice. The PhD position is part of the larger AMBITIONS project involving TU Delft, Utrecht University, and Avans