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student will work closely with POST Telecom’s company (Luxembourg), who is co-funding this PhD position. Research Environment The PhD student will join the Secure and Reliable Software Engineering and
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LLM-based vulnerability detection systems. Robustness evaluation framework: you will develop comprehensive assessment methodologies to quantify the weaknesses and limitations of LLMs in software
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. Research Environment The PhD student will join the Secure and Reliable Software Engineering and Decision-Making (SerVal) group at the University of Luxembourg. SerVal conducts research in security and
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, developing knowledge, methods, and transferable software for the simulation and comprehensive sustainability assessment of socio-economic systems. Its purpose is to foster sustainable eco-innovation, through
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research record with publications in relevant venues (AI, security, and software engineering conferences/journals) Strong analytical and problem-solving abilities, with capacity to conduct independent
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(supervisor) The position holder will be required to perform the following tasks/will do research on the following topics: Software engineering practices for machine learning Tabular machine learning Large
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-connectivity Communication system modelling, performance analysis, and simulation. Optimization tools and machine learning techniques. Hands-on experience with software-defined radios (SDRs) and/or
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regularly with partner teams or industry partner to gather requirements and report findings. A key aspect of the role involves implementing and open-sourcing proof-of-concept software tools, alongside
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regularly with partner teams or industry partner to gather requirements and report findings. A key aspect of the role involves implementing and open-sourcing proof-of-concept software tools, alongside
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regularly with partner teams or industry partner to gather requirements and report findings. A key aspect of the role involves implementing and open-sourcing proof-of-concept software tools, alongside