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computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
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the focus areas are stochastic optimization and equilibrium modelling in energy systems and markets. Position 1: PhD Project - “Optimisation of household demand response” The project aims to achieve
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econometrics, high-dimensional statistics, machine learning, nonparametric statistics, portfolio theory and stochastic processes. Our PhD program comprises a 2-year MPhil Phase with courses aimed at building a
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) or phylogenetic diversity (PD)? Existing approaches often treat conservation as static, ignoring both temporal trade-offs (short-term ecosystem performance vs. long-term evolutionary potential) and uncertainty (in
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useful background for candidates would include continuous-time stochastic processes, martingales, Brownian motion. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s
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asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job Description As a PhD candidate in Mathematical Statistics, you will develop novel
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Challenge: Distinguish noise and signal in data streams Change: Refined asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job
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results from numerical modelling of surface mass balance, firn compaction and ice flow dynamics identifying and quantifying processes of ice sheet change and ice mass balances developing stochastic
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questions. Given the uncertainties involved in food supply chains, we prefer candidates who have a background in (stochastic) optimization methods (e.g., machine learning, stochastic dynamic programming
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of Amsterdam is looking for you! Join Us! Are you interested in artificial intelligence and machine learning, and do you want to develop new mathematics with a positive impact? The stochastics group