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platforms. Besides optimizing the hardware deployed in the field, the focus is on developing algorithms and associated software to efficiently generate reliable high-resolution datasets. The project focuses
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radar-based sensing. You will develop adaptive algorithms that dynamically select the optimal radio configuration based on the specific requirements of each application. The radio platform supports a
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, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325
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learning algorithms. The two PhD students hired through this vacancy will primarily contribute to the development of debiased learning methods and assumption-lean modeling tools, and their application
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these resources. By using data integration, AI, and international platforms like GBIF and LifeWatch, the project supports taxonomic advancement. This PhD research will develop bioinformatics tools to find type
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. Construct a model-based collision detection algorithm that exploits this mechanical compliance. Evaluate vibration dampening techniques in collaboration with the researchers from VUB. Design a hybrid robot
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collaboration with other PhD candidates and researchers with medical and engineering background, perform innovative research on the topic of surgical video analysis, with the goal of developing deep machine
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intelligence. In these research areas we focus on 1) foundations, 2) system design, and 3) applications. IDLab collaborates with many universities and research centres worldwide and jointly develops advanced
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to study effects of (TI)-DBS on ex vivo brain slices and in vivo rodent models. Develop advanced closed-loop neurostimulation algorithms. Engage in a cross-disciplinary team, collaborating with experts