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publish scientific articles related to the research project. You will collaborate with other project members (PhDs, postdocs, principal and co-investigators). You will participate actively in seminars
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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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with advanced control methods. The research will therefore explore RL algorithms that not only operate optimally against such competing objectives but also effectively under uncertainty, changing
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Belgium. The overall objective of FLEX-SMR is to develop cost-optimal solutions for integrating SMRs into industrial energy systems. In particular, the project investigates how an SMR can be operated
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optimally combined to deliver models with extremely constrained compute and memory footprints without compromising performance. This includes training spiking neural networks with multiple plasticities
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camera systems. The main goal of this PhD position is to develop a generalized differentiable optical propagation model and optimize the related optics for realizing an incoherent holographic camera system
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algorithms. Knowledge of satellite communications, wireless sensing, radio propagation, optimization, or digital twins is considered an asset. You have strong programming skills in Python and/or MATLAB
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, the reliable prediction of fire propagation and optimization of resource deployment remains severely constrained. Five PhD students will perform research to meet FireRisk’s core objectives: - the development
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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 digital
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with a second doctoral researcher to optimize the architecture of fiber sensors, fostering synergistic innovation and breakthrough advancements. Optical fiber-based sensing stands as a cornerstone