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developing new explanation methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as
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on the mathematical theory enabling these advances, via asymptotic analysis and nonparametric modeling. You will work in the Statistics section at the Delft Institute of Applied Mathematics (DIAM
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Published Tuesday 28 Oct 2025 Deadline Friday 21 Nov 2025 Work area Academic staff Organisational unit Erasmus School of Social and Behavioural Sciences (ESSB) Salary € 3.059 - € 3.881 Employment
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operational efficiency, and cost reductions. Our goal is to extend this connection, with a focus on problems related to collective decision-making, voting, and (fair) resource allocation. Through this work, you
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Familiarity with category theory Excellent written and spoken English Ability to work independently and collaboratively Please note that knowledge of the Dutch language is not required for these positions
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guidance of the promotor and supervisor. This entails the set-up of the research, the selection of methods and theories, data collection and analysis. Given the nature of the question, the researcher is
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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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Computer Science Familiarity with category theory Excellent written and spoken English Ability to work independently and collaboratively Please note that knowledge of the Dutch language is not required
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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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trade-offs and maximizes synergies between landscape services. In this PhD project you will develop this innovative theory and combine spatial analysis with a Research Through Design approach. You first