9 image-processing PhD positions at Delft University of Technology (TU Delft) in Netherlands
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-of-the-art equilibrium and optimization models to capture market clearing and price formation processes, market distortions and policy interventions. These models allow addressing policy-relevant research
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) in depleted hydrocarbon fields, specifically on field-scale characterization, performance analyses and monitoring of UHS to enable its efficient and secure operation in a potential pilot site. The
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. Additionally, your work will explore view synthesis, enabling radar perception from different viewpoints. These generative models will be integrated into real-time radar processing algorithms, leading
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transforming manufacturing processes in various industries. However, the risks associated with less than ideal printing conditions pose challenges for ensuring the safe quality of AM parts and affect their
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research Strong background in linear algebra, signal processing, detection an destimation, and optimization. Background in radar and wireless communications is desirable, but not mandatory Experience in
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Learning, generative models, diffusion models). Knowledge in sensor data processing and radaris a plus. Good programming skills (Python) and knowledge of deep-learning frameworks (PyTorch) are expected. A
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, this cognitive aspect of waveform adaptation will enable the radar to adapt its parameters and processing to changes in target, clutter and interference properties. The intended scientific breakthrough is to
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. Change. Impact! QuTech At QuTech, we work on radically new technologies with world-changing potential. Our mission: to develop scalable prototypes of a quantum computer and a quantum internet by
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position, you will be directly involved in mathematical modeling and software development of the optimization framework, processing and analyzing data, and reviewing scientific literature. You will actively