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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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ingredients, a process that is traditionally slow because each substrate–strain combination behaves differently. By applying machine learning to historical experimental data, we can predict high‑potential
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-like dynamics in synthetic systems remains a major challenge across physics, chemistry, biophysics, and materials science. In this PhD project, you will: § Develop an experimental platform to study 3D
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to education and ongoing research, and develop your own research ideas. Job requirements You hold an MSc in optical engineering, photonics, aerospace or mechanical engineering, applied physics, materials science
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! The PhD process is a learning experience, so let us know what you want to learn and develop as a PhD candidate. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions
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10 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Design engineering Engineering » Materials engineering Researcher Profile
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PhD in Optical Characterization and Photonic Performance Analysis of Liquid Crystal Polymer Coatings
2 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Electrical engineering Engineering » Materials engineering Physics » Applied
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In a fusion reactor its walls must endure intense heat fluxes as well as a constant bombardment of neutrons and plasma species. Traditionally solid materials such as tungsten have been the primary
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, you will focus on developing mathematical models and numerical algorithms that systematically integrate uncertainties into the design process of optical systems. The goal is to enable novel design
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measurements and process-based modelling to identify the mechanisms linking vegetation, soil microorganisms and ecosystem carbon cycling. The project spans laboratory, field and ecosystem scales and combines