Sylvain Kubler

The University of Luxembourg, a modern and international research university, is offering a PhD position in Applied Artificial Intelligence within its Interdisciplinary Centre for Security, Reliability and Trust (SnT). The successful candidate will join the Security, Reasoning and Validation (Serval) research group and contribute to a partnership project with the European Stability Market (ESM). The research focuses on the application of machine learning for official statistics, including topics such as AI-assisted bond issuance, causal methods for enhanced market intelligence, and automated market research summaries using RAG-enabled AI. The project emphasizes the exploration and evaluation of new-generation AI technologies, particularly large language models and agentic AI systems, assessing their feasibility and benefits in financial and statistical contexts. The PhD thesis is part of a broader initiative at Serval and SnT to support the reliable deployment of machine learning systems, providing practical tools for industry partners. The candidate will work under the supervision of Dr. Maxime Cordy, Sylvain Kubler, and Dr. Mike Papadakis, engaging in research activities such as literature surveys, experimental design, simulation, and dissemination of results at international conferences and in peer-reviewed publications. Applicants must hold a Master in Computer Science, with a major in machine learning or software engineering considered advantageous. Strong programming and analytical skills are required, and industry experience in ICT is a plus. The position offers a fixed-term contract of 36 months, full-time employment, and a yearly gross salary of EUR 41,976. The University of Luxembourg values diversity and inclusion, and encourages early applications through its online HR system. The campus provides high-quality equipment, a dynamic atmosphere, and close ties to industry and European institutions.

The University of Luxembourg, a modern and international research university, is seeking a Postdoctoral Researcher in Applied Artificial Intelligence to join the Interdisciplinary Centre for Security, Reliability and Trust (SnT). The successful candidate will work within the Security, Reasoning and Validation (Serval) research group, contributing to a partnership project with the European Stability Market (ESM). The research focuses on the application of machine learning for official statistics, including topics such as AI-assisted bond issuance, causal methods for enhanced market intelligence, and automated market research summaries using RAG-enabled AI. The role involves exploring the feasibility and benefits of new-generation AI, particularly large language models and agentic AI systems, through prototype implementations. Responsibilities include conducting literature surveys, developing experimental and simulation facilities, planning and analyzing experiments, supporting PhD students, and disseminating research findings at conferences and in peer-reviewed publications. Applicants must have a PhD in Computer Science with expertise in applied machine learning, statistical methods, or software engineering, along with strong programming and analytical skills. Industry experience in ICT is advantageous. The position offers a fixed-term contract of 24 months, with a yearly gross salary of EUR 85,176. The university values diversity and inclusion, and encourages early applications through its online HR system. The working environment is highly international, with staff from 90 countries and strong ties to industry and European institutions. The campus is located in Kirchberg, Luxembourg, and offers excellent infrastructure and opportunities for collaboration.