PhD Candidate in CS / IS Engineering on LLMs

About the SnT

The 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.

Your role

The successful candidate will pursue a Ph.D. degree (Doctorate) in computer science / information systems engineering. In this project, the aim is to bridge the gap between large language models (LLMs) and task automation, enabling natural language interaction, that is, via a chatbot, to access and control automation tools safely. In particular, architectures enabling the communication between LLMs and task automation tools as well as corresponding security and business implications will be investigated.

In general, the candidate will perform the following tasks :

• Carry out research in fields of interest to the research group, such as : Deploying and benchmarking state-of-the-art LLMs with respect to cost, performance, and data protectionDeveloping and deploying LLM based architectures for task automationInvestigating the performance of hybrid LLMs - knowledge-based approaches for task automationUsing Design Science Research (DSR) methodology, collaborate with our industry partner to gather requirements for task automation, evaluating the potential of hybrid LLMs to effectively address these needs and optimize workflows.Investigation of state-of-the-art methods from explainable AI and adaptation of suitable methods for task automation
• Disseminate results through scientific publications in outlets on the intersection between information systems and computer science
• Support the conceptualization and writing of research proposals to attract industry partnerships as well as national and European grant projects
• Conduct research projects and create project deliverables