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monitoring and Fault Detection, Isolation, and Recovery (FDIR) for space-borne and robotic systems. The candidate will carry a leading role in this area and support PhD candidates in their thesis research
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools for highly dynamic SatCom systems Implement and open-source proof-of-concept
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securing competitive national and European funding Represent the University of Luxembourg in international research forums, fostering collaboration and visibility Mentor PhD students and student assistants
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for Space Robotics. The candidate will carry a leading role in this area and support PhD candidates in their thesis research. The candidate will work closely with Prof. Carol Martinez, Prof. Olivares-Mendez
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investigating the translational potential of genetic discovery. We have access to extensive biosample collections and use advanced omics technologies and genetic-epidemiological methods on human study populations
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: Develop innovative methods and tools for highly dynamic and spectrally congested environments, where interference and jamming may occur. The techniques include detection/sensing, characterization, and
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take a leading role in research activities, including the design and implementation of novel methods, experimental evaluation, and dissemination of results through high-quality scientific publications
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deliverables, as well as prepare research proposals to attract public and private funding Mentor and supervise PhD students and student assistants working on related topics For further information, please