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planning and decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch
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Develop advanced models to understand and predict piping and internal erosion in dikes. As a PhD researcher at TU Delft, you will connect fundamental fluid–soil interaction physics with
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produce high-purity CO₂ without relying on chemical solvents, the physics of CO₂ desublimation is still not sufficiently understood. In particular, we need to know how the solid layer develops, how it
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18 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Electrical engineering Engineering » Mechanical engineering Physics » Applied
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well as industrial partners. Furthermore, you meet the following requirements: You hold a Master's degree in Materials Science and Engineering, Mechanical Engineering, Physics, Applied Physics, Metallurgy, or a
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Are you fascinated by the intersection of Physics, Chemistry and materials science? Do you want to contribute to protecting monuments including World Heritage Sites from degradation caused by rising
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. These technologies would enable drug developers, physiotherapists and physicians to make objective and quantitative assessments regarding the effectiveness of treatments. Impact: Once we understand the effects
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of these models therefore remains a key scientific challenge. In this PhD project, you will develop and apply data-fusion methods that combine physics-based wind farm models with wind tunnel and field data. A
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machine learning challenges: how to learn from limited and heterogeneous data, how to combine data with physics-based models, how to solve inverse problems under uncertainty, and how to build models
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devise solutions together to global economic and social challenges. In order to make a positive impact on the world, society and the lives of others. Are you interested in joining SBE? You will work in a