About the Research Position
The University of Luxembourg is an international research institution with a distinct multilingual and interdisciplinary character.
As part of our team, you will contribute to a partnership project related to the application of machine learning for official statistics. The focus areas of this project include AI-assisted bond issuance, causal methods for enhanced market intelligence, and automated market research summaries via RAG-enabled AI.
Our goal is to leverage machine learning to create innovative solutions in various domains.
Research Activities:
* We are looking for software engineering practices that can enhance machine learning capabilities.
* Tabular machine learning techniques are essential for this project.
* Large language models on structured and semi-structured data will be used to process and analyze complex information.
Team Collaboration:
* You will work closely with Dr. Maxime Cordy, Sylvain Kubler, and Dr. Mike Papadakis to achieve project milestones.
Key Responsibilities:
* Conduct comprehensive literature surveys to identify state-of-the-art methods.
* Develop necessary experimental and simulation facilities to test hypotheses.
* Plan, execute, and analyze experiments and simulations to evaluate results.
* Contribute to joint and independent research activities to drive project progress.
* Deliver high-quality project outputs, including reports, presentations, and publications.
* Promote project outcomes through international scientific conferences and peer-reviewed publications.
Requirements:
* PhD in Computer Science, specializing in applied machine learning, statistical methods, or software engineering.
* Strong programming skills and analytical abilities.
* Industry experience in information and communication technology is beneficial.
* Excellent teamwork, critical thinking, and motivation skills are essential.
* Knowledge of machine learning fundamentals, large language models, and generative AI models is required.
Language Skills: Fluent written and verbal communication in English is mandatory. French is an asset.