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experiments into new regimes, using quantum control over heavy objects via a superconducting qubit to build quantum superpositions of unprecedented size. You will develop skills to become an expert in complex
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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
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that generalize across different physical settings. Building on this motivation, the project focuses on the definition, development, and analysis of scientific foundation models: large-scale, generalizable models
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approach that includes stakeholder engagement, behavioural science, design research, transition studies, and modelling, the project aims to develop empirically grounded interventions and governance
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and remote sensing data from both the Arctic and Antarctic sea ice regions. Based on this new understanding, the candidate will develop parameterizations that can emulate these physics for use in more
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engagement, behavioural science, design research, transition studies, and modelling, the project aims to develop empirically grounded interventions and governance strategies that enable lasting behavioural
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: 30 September 2026 Apply now How can generative AI (GenAI) support Health Technology Assessment (HTA) of medicines? HTA bodies and technology developers are already experimenting with GenAI, but
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Help shape better decisions for adaptive reuse of buildings across Europe. Develop strategies that balance environmental impact, costs, technical performance and circularity. Job description
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and economic use of renewable electricity without an unnecessary discarding of generated power. This four year’s PhD position is aimed at developing multiphase models to predict the dynamics and
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validation, digital twin frameworks are developed enabling a virtual assessment and optimisation of steel microstructures before they are produced. This programme is therefore essential for the future hydrogen