Research Associate (Postdoc) position in NLP for fintech

at  Universit du Luxembourg

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.

We offer a dynamic postdoctoral research position who will join the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The successful candidate will work on a project focused on advancing Natural Language Processing (NLP) methodologies for automatically analyzing and processing documents written in natural language for the fintech ecosystem. The project aims to design, develop and apply state-of-the-art ML and Explainable AI techniques to create scalable and reliable NLP systems. Experience in FinTech is considered a valuable asset.
TruX conducts research in software security, software repair, and explainable software to create key practical solutions for developers, allowing them to achieve trustworthiness, efficiency, and transparency. Application areas include FinTech, embedded systems (e.g., mobile), business or entertainment systems, cybersecurity, and more. For more information, you may refer to https://www.uni.lu/snt-en/research-groups/trux/.

The successful candidate will:

• Conduct cutting-edge research in AI, NLP, and document analysis
• Design, develop and implement algorithms for processing and analyzing natural language documents using ML and explainable AI techniques
• Contribute to national and international research collaborations in NLP, Fintech, and related fields
• Prepare project deliverables and disseminate results through high-quality scientific publications
• Present findings at renowned international conferences and workshops
• Guide and mentor PhD, MSc, and BSc students working on related topics
• Support the organization of demonstrations and workshops relevant to NLP/Fintech
• Assist in drafting research proposals to secure funding

For further information, please get in touch with Dr. Jordan Samhi (email address: jordan.samhi@uni.lu).