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Field
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-based domain-specific emulations for new generation networks, attack generation and detection in virtualised 5G networks. As postdoc, you will principally carry out research. A certain amount of teaching
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nanometer CMOS and other related technologies. The target chips include digital signal processors, radio frequency and millimeter wave frontends, data converters, as well as larger systems with a mixture of
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systems (e.g., UAVs or robots), or High-availability networking infrastructures (e.g. 5G and beyond) will be considered as a plus. In this multi-disciplinary national project we seek candidates with strong
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technologies. The target chips include digital signal processors, radio frequency and millimeter wave frontends, data converters, as well as larger systems with a mixture of analog and digital signals. Our
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accurate, efficient, and robust AI models capable of operating effectively within complex and dynamic radiofrequency spectral landscapes, accounting for real-world interference, noise, and channel
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plan (e.g., microfluidic channel optimization, polarization-dependent scattering studies, spectral imaging implementation, or algorithm development). Planning experimental campaigns, simulations, and
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., microfluidic channel optimization, polarization-dependent scattering studies, spectral imaging implementation, or algorithm development). Planning experimental campaigns, simulations, and modeling efforts
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for real-world interference, noise, and channel variability. You will collaborate with other members of the group who will support the practical deployment of the developed AI models on portable and embedded
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for 5G infrastructure control and management, applying AI/ML for real-time monitoring of optical networks, and implementing intelligent policies to increase resilience of network services to breaches
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two years have passed. Otherwise, they will be destroyed. In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with