Doctoral researcher in Information Systems Engineering and Computer Science on Application of Large Language Models

About Us

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

The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group conducts research on the application and the impact of emerging technologies like DLT/Blockchain, GenAI, Natural Language Processing, Machine Learning, Human-Computer Interaction, and IoT/5G on organisations from both the private and public sectors. The group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., policy, business, technology), united in pursuit of sustainable technologies that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects

Your role

• Carry out research in fields of interest to the research group, such as:
• Using Design Science Research (DSR) methodology, collaborate with our industry partners to gather requirements for task automation, evaluating the potential of hybrid LLMs to effectively address these needs and optimize workflows
• Deploying and benchmarking state-of-the-art LLMs with respect to socio-technical and techno-economic factors such as cost, performance, and data protection
• Design and develop advanced knowledge graph architectures to structure, connect, and enrich complex data ecosystems
• Investigating the performance of hybrid LLMs – knowledge-based approaches for task automation
• Integrate knowledge graphs with LLMs to enable context-aware insights, and scalable AI applications
• 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
  
  

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.

Your profile

• Master’s degree in Artificial Intelligence, Computer Science, Computer Engineering, Software Engineering, Data Science, Information Systems (Engineering), or related fields with an AI background
• Strong programming skills in at least one major programming language
• Interest in cloud-based architectures
• Familiarity with Knowledge Graphs, LLMs and interest in semantic/cognitive search are beneficial
• A collaborative team player with a desire to make a personal impact within our interdisciplinary research group
• The commitment to participate in the design and implementation of high-quality solutions that solve significant problems
• Self-initiative, creativity, curiosity, flexibility and enthusiasm to work
  
  

Language Requirements:

Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit the Application for admission – Doctoral Candidates.

We offer

• A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities
• An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs
  
  

How to apply

Applications should include:

• Curriculum Vitae
• Cover letter presenting your motivation for this doctoral thesis topic, and explaining how your qualifications and aspirations align with its academic focus
• Transcript of all modules and results from university-level courses taken
  
  

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information:

• Contract Type: Fixed Term Contract 36 Month - extendable up to 48 months if required
• Work Hours: Full Time 40.0 Hours per Week
• Location: Kirchberg Campus
• Internal Title: Doctoral Researcher
• Job Reference: UOL08202
  
  

The yearly gross salary for every Doctoral researcher at the UL is EUR 43445 (full time).