12 learning-"https:" "https:" "https:" "https:" "https:" "https:" "https:" scholarships at University of Antwerp
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. Position You will work actively on the preparation and defence of a PhD thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a
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. Position You will work actively on the preparation and defence of a PhD thesis in the field of continual graph learning. Continual graph learning studies how graph neural networks can learn from a
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. Position You will work actively on the preparation and defence of a PhD thesis in the field of explainable reinforcement learning (XRL). Explainable reinforcement learning aims to make decisions
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Chemical Engineering in the Faculty of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of machine learning for circular polyurethane design. Position You
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full-time (100%) postdoctoral scholarship holder in the field of redox flow batteries. More specifically, you will actively work within the frame of the European research project RECHARGE ( https
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one of the 15 Doctoral Candidates in the NeXED Marie Skłodowska-Curie Actions (MSCA) Doctoral Network. For more information about NeXED, see https://www.nexed.eu . Your research will focus on the
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will work actively on the preparation and defence of a PhD thesis in the field of reinforcement learning (RL) for industrial process control and optimisation. The research focuses on developing RL
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, networking, and signal processing. You have at least intermediate knowledge of machine learning algorithms. Knowledge of satellite communications, wireless sensing, radio propagation, optimization, or
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analysis, optimization, and machine learning techniques is a plus. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP) and software (e.g., GNURadio
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of intelligent control algorithms for inland waterway vessels, using machine learning, with the aim of controlling the vessel in an optimal and efficient manner. In this context, control is formulated