64 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Delft University of Technology (TU Delft)
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develop novel graph-based machine learning algorithms for state estimation of energy systems. The scientific challenge is to design a real-time state estimator for an active distribution system considering
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computing platforms. Safe learning is one of the key research challenges in AI today. The lack of principled and practical SL algorithms prevents the use of AI in many critical application domains, especially
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-deficiency. The hybrid model will combine features of machine learning and statistical models with those of physiological and quantitative genetic models. The PhD candidate will study the available physiology
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Deadline 30 Mar 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Deadline 30 Mar 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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strong academic record with a solid background in Machine Learning (Deep Learning, generative models, diffusion models). Knowledge in sensor data processing and radaris a plus. Good programming skills
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some academic research experience post-Master level. Demonstrable affinity with archival sources. Strong skills in GIS-based research, additional experience with computer vision and machine learning is a
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, computational fluid mechanics, high-performance computing, and physics-informed machine learning. Affinity with physics-informed machine learning, computational VVUQ (verification, validation, and uncertainty
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access to the compute resources of TU Delft, ranging from personal machines, to shared GPU servers, the Delft AI Cluster that is shared across departments, as well as DelftBlue, which is one of the top 250
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physics-based computer models. Impact: Evaluate knee joint laxity and then optimize surgery and treatment to reduce laxity while permitting natural range of motion. We are seeking a PhD researcher for a 4