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collaborate with other researchers at IDLab. You will develop novel ISAC-based collision avoidance algorithms that exploit communication signals and their reflections to sense surrounding obstacles, nearby UAVs
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algorithms. model and optimize end-to-end physical-layer performance, hardware non-idealities, and overall power consumption. focus primarily on space and security topics (satellite communications, reliable
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of reinforcement learning (RL) for industrial process control and optimisation. The research focuses on developing RL methods that can support decision-making and control in complex industrial systems while
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-472 Is the Job related to staff position within a Research Infrastructure? No Offer Description The field of combinatorial optimization is concerned with developing generic tools that take a
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defence of a PhD thesis in the field of Electronics-ICT: Artificial Intelligence. This PhD project focuses on the development of intelligent control algorithms for inland waterway vessels, using machine
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by recent deepfake misuse and strict regulations such as GDPR. We aim to develop a real‑time, privacy‑preserving camera system that anonymizes individuals directly on the device. Instead of blurring
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, focusing on the development of algorithms for proactive decision support in non-stationary warehouse environments. This project aims to study warehouse efficiency across interdependent processes – including
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active damping. The UAntwerp group operates a dedicated LVDT characterization setup, has developed a prototype "Corecoil LVDT", and has recently received a MIGA-derived GAS filter that will be developed
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Science, Artificial Intelligence, or a related field be ranked within the top 10% of their class at MSc and BSc level, with outstanding study results have a strong background in ML algorithms, with programming
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/impact, (3) brief approach (models, algorithms, datasets), (4) evaluation plan, and (5) alignment with IDLab research on reinforcement learning at the University of Antwerp. The selection committee reviews