About the SnT
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.
Your role
The successful candidate will join the SEDAN research group to work on the ReNERT project. This project is a collaboration with the Luxembourg Armed Forces. The PhD candidate will investigate how Artificial Intelligence (AI), particularly Generative AI (GenAI), can be leveraged to support the effective mitigation of cyber-threats.
The position holder will be required to perform the following tasks:
* Conduct research on optimising retrieval-augmented LLM systems to identify and categorise sensitive information from diverse OSINT sources
* Develop an on-premise, retrieval-augmented LLM solution that transforms diverse data sources into concise, actionable reports
* Contribute to the implementation of a continuous monitoring platform that integrates with MISP for standardised threat intelligence sharing
* Participate in project reporting, dissemination of results, and meetings with our project partner
Your profile
* A Master's degree in Computer Science/Engineering or a related field.
* The ideal candidate should have knowledge and/or experience in one or several of the following areas:
o Artificial Intelligence/Machine Learning algorithms and architectures
o Cybersecurity
o Strong programming skills
* The following qualifications are considered a bonus:
o Experience with Large Language Models (LLMs) and Generative AI
o Familiarity with containerisation and orchestration like Docker and Kubernetes
o Knowledge of Linux environments
* A motivated candidate who can work independently and is proactive in solving problems
* Fluent written and verbal communication skills in English are required. Knowledge of French, German, or Luxembourgish will be appreciated but is not a requirement
* Due to the specific requirements and constraints of the project, we are only able to consider applicants from NATO member countries or NATO partner nations
We offer
* Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR)
* A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
* A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …
How to apply
Applications should include:
* Curriculum Vitae
* Cover letter
* Transcripts of all modules and results from university-level courses (Bachelor's and Master's degrees)
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.
The University of Luxembourg is committed to achieving gender parity among its staff. Should candidates present equivalent profiles, preference will be given to female candidates in all departments where gender parity is not yet achieved.
The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.
General information:
* Contract Type: Fixed Term Contract 36 Month
* Work Hours: Full Time 40.0 Hours per Week
* Location: Kirchberg Campus
* Internal Title: Doctoral Researcher
* Job Reference: UOL07776
The yearly gross salary for every PhD at the UL is EUR 41976 (full time).