Maxime Cordy

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 is offering a PhD position in Machine Learning for Official Statistics, based at the Interdisciplinary Centre for Security, Reliability and Trust (SnT). The successful candidate will join the Security, Reasoning and Validation (Serval) research group and work on a partnership project with STATEC, Luxembourg’s National Statistics Institute. The research will focus on the application of large language models (LLMs) to data-to-text problems, such as generating statistical reports and enabling semantic search across historical statistics publications. The project involves adapting LLMs and other machine learning models to tasks that mix text and structured data, evaluating their feasibility, practicality, and effectiveness through prototype implementations. The PhD thesis is part of a broader initiative at Serval and SnT to support the reliable deployment of machine learning systems in industry, providing practical tools for industry actors. The position offers opportunities to collaborate with a diverse, international team and to disseminate research findings at conferences and in peer-reviewed publications. Applicants should have a Master’s degree in Computer Science, with a major in machine learning or software engineering considered an asset. Strong programming and analytical skills are required, and industry experience in ICT is advantageous. Candidates should be committed, motivated, and able to work both independently and as part of a team. Knowledge of both foundational and recent developments in machine learning, especially large language models and generative AI, is expected. Fluent English communication skills are required; French is a plus. The position is full-time (40 hours/week) for a fixed term of 36 months, located at the Kirchberg Campus. The annual gross salary is EUR 41,976. The University of Luxembourg values diversity and inclusion, and is committed to gender parity. Applications should include a CV, cover letter, transcripts, and a research statement, and must be submitted online through the university’s HR system. Early applications are encouraged as review is ongoing.

The University of Luxembourg is seeking a PhD candidate for research in Quantum Software Engineering within the Interdisciplinary Centre for Security, Reliability and Trust (SnT). The successful applicant will join the Serval research group and work closely with Associate Professor Mike Papadakis and Dr. Maxime Cordy. The project focuses on developing and evaluating software engineering methods and security techniques for quantum computing platforms, including adapting traditional software engineering principles to quantum environments and defining software quality standards for quantum systems. The role involves conducting literature surveys, developing experimental and simulation facilities, planning and analyzing experiments, and contributing to project deliverables and scientific publications. Applicants should have a Bachelor’s degree in computer science, physics, or a related field, and a Master’s degree in Software Security, Informatics, Software Engineering, or a related discipline. Strong programming and analytical skills are essential, and industry experience in ICT is advantageous. Optional skills include machine learning, metaheuristics, statistics, and text analysis. English fluency is required. The position offers a fixed-term contract of 36 months, full-time employment, and a yearly gross salary of EUR 40952. The University of Luxembourg provides a modern, international, and multilingual research environment with strong ties to industry and European institutions. Applications must be submitted online and should include a CV, transcripts, contact details of three referees, and a research statement. Early applications are encouraged, and the university promotes an inclusive and diverse culture.

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.