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Field
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commissioning and adaptive control. The PhD candidate will develop methods for the ongoing, automated adjustment of controllers, sensors, actuators, and associated control hardware. Rather than one-time
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candidate will design algorithms that identify suspicious model updates, reduce the influence of compromised UAVs, and preserve useful learning from honest UAVs operating with different data and unreliable
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technologies that enable on-sensor, real-time recognition and classification of scenes under uncontrolled lighting conditions, in the presence of moving objects, and at the same cost of a standard camera chip
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learning algorithms. Specific Requirements An applicant for the scholarship is expected to possess: • Basic knowledge of plasma physics and fusion devices, in particular tokamaks. • Practical
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PhD student (f/m/d) who wants to take ownership of the software ecosystem behind our computational imaging research – from experimental reconstruction algorithms used inside our lab to robust tools used
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
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combinatorial optimisation: Research in randomised optimisation algorithms, including evolutionary algorithms, tabu search, and many other approaches also collectively known as meta-heuristics, has long favoured
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pose estimation algorithms. The models and algorithms you develop will be part of open source and data repositories affiliated with the broader research program and TU Delft’s commitment to Open Science