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the larger Pattern Recognition and Bioinformatics Groups comprising labs in Computer Vision, Pattern Recognition, and Socially Perceptive Computing Labs. For information about the TU Delft Graduate School
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networks to reduce the impact of network failures or epidemics; prevent viral epidemics in human population. Epidemic processes widely apply to biological and computer network viruses, to cascading failures
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that the manual process is very time-consuming and error-prone. To help drive efficiency, computer vision is crucial, yet so far the focus has been on single-camera data analysis. As a PhD at TU Delft you will
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a programme “Future-Proof Living Environment: Transition towards zero-emission, circular and climate proof buildings and infrastructures”, funded by the National Growth Fund in the Netherlands
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The vision of a Quantum Internet is to provide fundamentally new internet technology by enabling quantum communication between any two points on earth. Such a Quantum Internet will – in synergy with
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) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. Various 6G vision papers have
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an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research
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. Jamali-Rad’s group at TU Delft focuses on deep representation learning and self-supervised learning applied to variety of downstream tasks, including but not limited to computer vision. At Shell, Dr
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and remodeling. You will work together with an interdisciplinary team of researchers at the interface of mechanobiology, imaging physics, computer vision, and cardiothoracic modeling. Your research will
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the thermomechanical physics during a large scale additive manufacturing process. This will be achieved through sensor fusion, computer vision and data-driven tools to develop a digital twin of the fabrication process