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Listen Published Wednesday 8 Apr 2026 Deadline Tuesday 25 Aug 2026 Work area Academic staff Organisational unit Erasmus School of Philosophy (ESPhil) Salary € 4.925 - € 6.682 Employment 1 fte - 1
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colleagues and industrial partners. You will work in a multidisciplinary environment, providing a unique opportunity to combine fundamental research with industrial technology development. We offer
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. The details of the work plan may be adjusted depending on the profile of the preferred candidate; there is budget for support in technology development. You will work closely with a PhD researcher at the German
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and pass that knowledge on to the next generation. We seek solutions to major societal challenges, such as cybercrime and climate change and work on major scientific challenges, such as those in
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to their decommissioning at the end of their service life. You will contribute to research on offshore wind foundations, including monopiles, suction caissons and other foundation concepts. The work aims to improve our
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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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Trustworthy Graph Machine Learning for Population Scale Networks Job description We invite applications for a postdoctoral researcher to work on fundamental techniques for trustworthy graph machine
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pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means join an international community
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multiple research tracks. You will work closely with three PhD candidates focusing on different clinical applications, while leading developments in acquisition, probe localisation, adaptive imaging, and
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, with a strong interest in the integration of geospatial Artificial Intelligence (AI) and machine learning. Are you enthusiastic about the chance to combine research in Remote Sensing and AI with teaching