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-diffusive(-thermal-chemical) behavior of fiber-reinforced composites at the micro/meso-scale. These models will incorporate uncertainty via stochastic inputs, such as random field representations of spatially
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the SCM section will fill a maximum of one PhD positions this year that can be on any of these topics. Machine learning for stochastic last-mile deliveries In recent years, stochasticity has received
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stochastics group of the Korteweg-de Vries Institute for Mathematics at the University of Amsterdam is inviting applications via the Ellis PhD Program for a PhD position in mathematical machine learning
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, probabilities, stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python, Julia, or MATLAB
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-driven modelling, probabilities, and stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python
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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
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stochastics group of the Korteweg-de Vries Institute for Mathematics at the University of Amsterdam is inviting applications for a PhD position in mathematical machine learning. The position is part of
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interested in artificial intelligence and machine learning, and do you want to develop new mathematics with a positive impact? The stochastics group of the Korteweg-de Vries Institute for Mathematics
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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