Postdoctoral Researcher in Machine Learning Security & Testing

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.

Your role

The successful candidate will join the SERVAL research group and contribute to research and development activities at the intersection of Agentic AI, AI Security, Trustworthy AI, Software Engineering, and Cybersecurity. The group is developing novel methods, tools, and platforms to support the safe deployment of AI systems in real-world environments. Current research activities focus on topics such as:

• AI agents and computer-use agents
• Security, robustness, and trustworthiness of AI systems
• Evaluation, benchmarking, and testing of AI systems
• Runtime monitoring and governance of AI agents
• Formal specification and verification techniques for AI-enabled systems
• AI systems for enterprise and cybersecurity applications
• AI compliance, risk assessment, and trustworthy AI engineering

The candidate will contribute to both fundamental research and the development of practical software platforms and demonstrators in collaboration with industrial and public-sector partners.

We expect the candidate to publish in competitive machine learning, software engineering and security venues, such as Neurips, ICML, ICLR, ICSE, FSE, ASE, Security & Privacy, USENIX Security, CCS, etc. More generally, the project is part of a large initiative at Serval and SnT, which aims to support the reliable deployment of machine learning systems by providing industry actors with practical evaluation tools, such as technical testing platforms for AI.

Your profile

• PhD in Computer Science, with a thesis related to machine learning, software engineering, software security or a related area
• Strong programming and analytical skills
• Excellent publication record in the areas related to the project
• Industry experience in information and communication technology will be considered as an advantage
• Commitment, team working, a critical mind, and motivation are skills that are more than welcome
• Knowledge of both the basics and the latest developments of machine learning, in particular large language models and agentic framewoks will be considered a strong asset
• Language Skills : Fluent written and verbal communication skills in English are required

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 detailing your motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective
• PhD diploma or a letter/information indicating the expected defense date
• Transcript of all modules and results from university-level courses taken
• List of publications
• Research statement and topics of particular interest to the candidate (300 words)

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 18 Month
• Work Hours: Full Time 40.0 Hours per Week
• Location: Kirchberg Campus
• Internal Title: Postdoctoral researcher
• Job Reference: UOL08329

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 85176 (full time).