PhD candidate in Security Testing of Generative AI
PhD candidate in Security Testing of Generative AI
PhD candidate in Security Testing of Generative AI
PhD candidate in Security Testing of Generative AI
University of Luxembourg
Erziehung, Bildung, Wissenschaft
Kirchberg in Tirol
- Art der Anstellung: Vollzeit
- Vor Ort
- Zu den Ersten gehören

PhD candidate in Security Testing of Generative AI
Über diesen Job
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 SnT is seeking a Doctoral Researcher to support the research and development work within the SEDAN group ( https://www.uni.lu/snt-en/research-groups/sedan ). We seek a candidate with expertise and/or interest in the following relevant fields: artificial intelligence and cybersecurity.
The candidate will have the opportunity to work on a collaborative project with a leading industry in cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners.
As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated into organizational workflows, they introduce new attack surfaces and vulnerabilities. Current efforts to secure these platforms are fragmented. While there exist some commercial and open-source tools, they are often adapted from traditional application security testing methodologies and fail to account for the specific challenges posed by GenAI. For example, adversarial attack testing, model inversion vulnerabilities, and API misuse scenarios are underexplored areas, lacking robust frameworks to systematically address them.
The research project of the PhD student will thus focus on defining a rigorous testing framework to bridge this gap and enable organizations to confidently deploy secure GenAI solutions by evaluating the machine-learning models intrinsically, identifying components of an AI pipeline and their vulnerabilities and provide recommendations to mitigate them.
In addition, the candidate will be also involved in project reporting and dissemination and will participate to meetings with our partner. The project is an academic project oriented but applied research. It is a unique opportunity to develop new concepts with a close collaboration with industry.
During the PhD studies, the candidate will have the opportunity to participate and propose other projects within the group and so also develop his/her/their own research agenda. We are working on various topics related to applied ML and cyber-security, including applications and security of LLMs.
For further information, please contact us at and
Your profile
The candidate should possess a Master's degree in Computer Science/engineering or Telecommunication Engineering.
What we're looking for:
- A collaborative team player with a desire to make a personal impact within our interdisciplinary research group
- A motivated candidate who can work independently and efficiently and is proactive in solving problems.
- Self-initiative, creativity, curiosity, flexibility and enthusiasm to work
Knowledge and Experience:
The ideal candidate should have some knowledge and/or experience in one or several of the following areas:
- Different ML/AI/GenAI algorithms and architectures
- Linux environments
- Programming skills
The following qualifications of the applicant are a bonus:
- Cybersecurity
- AI security
Language Skills: Fluent written and verbal communication skills in English are required. Knowledge of either French, German or Luxembourgish will be appreciated but are not a requirement to apply.
Please note that, 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
- A one-page cover letter
- Transcript of all modules and results from university-level courses taken (Bachelor's and Master's degree or equivalent)
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: UOL07559
The yearly gross salary for every PhD at the UL is EUR 41976 (full time).
Unternehmens-Details

University of Luxembourg
Erziehung, Bildung, Wissenschaft