22 machine-learning-engineer PhD positions at Delft University of Technology (TU Delft)
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5 Dec 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Sound engineering Researcher Profile First
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the world. Engineering Productivity Metrics This track will investigate how we can customize typical software engineering metrics to usefully reflect progress for machine learning engineers. Not all
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24 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Aerospace engineering Engineering » Computer engineering Researcher Profile
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Corrosion Technology? Join us on our journey to ensure Safe Operation of Military Systems. Job description Join the Corrosion Technology and Electrochemistry (CTE) group, part of the Department of Materials
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Science, Engineering, Policy Analysis, Economics, Environmental Science) with demonstrated proficiency in coding and/or quantitative analysis. Interest in machine learning, computational modelling, systems thinking, and
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Engineering, Physics, Applied Mathematics, or related discipline. Proven track record in numerical methods and computational fluid dynamics. Proven track record in machine-learning methods for computational
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guarantees. This includes working with techniques such as differential privacy and PAC-privacy to enable safe model and explanation release. Familiarity with privacy-preserving machine learning methods is a
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to support coordinated decision-making for sustainable strategies in the port call? As a PhD student at TU Delft, you will leverage AI (i.e. optimization and machine learning techniques) to prepare ports
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28 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Control engineering Researcher Profile
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based models, including the deployment of machine learning algorithms. The project aims to have a tangible impact on the way urban waters are monitored, and the findings of your project will be