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data analysis with microeconomic behavioural modelling, econometrics, machine learning and natural language processing. We exploit longitudinal 2014-2021 data of 1 million social houses and households
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are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
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applications and hybrid modelling (process-informed machine learning); Strong interest in interdisciplinary scientific challenges at the interface of domain knowledge and data science and collaboration in a
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workflow platform. Develop machine-learning surrogate models for model calibration, uncertainty quantification, and active learning to accelerate multiscale simulations. Integrate validated models from
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your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research
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on developing hybrid traffic flow models that combine physical modelling principles with machine learning approaches, such as Physics-Informed Neural Networks (PINNs) and machine-learning-enhanced traffic models
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of high-performance computer systems You preferably have experience with hydrology, and affinity or experience with agent-based modelling and large-scale data processing with societal relevance You are able
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, which houses expertise in advanced data analysis techniques, merging the power and flexibility of machine learning and AI with the rigor and explainability of domain knowledge. Members of OnePlanet’s gas
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economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and
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), Computer Science (Machine learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development