Vacancies
University of Luxembourg is seeking candidates to fill one PhD studentship in the research area of security, privacy and trust. This studentship will be conducted in the Security and Trust of Software Systems (SaToSS) group, led by Prof Sjouke Mauw, with co-supervision from experienced researchers within the research group. The methodology typically applied in the group is to harness (formal) methods and tools to analyse topical security and trust problems. Methods employed are not limited to various strands of symbolic analysis, concurrency theory, logic, graph theory, and game theory.
- Initial 36 months fixed-term contract, renewable for up to 48 months depending on thesis progress evaluation
- Full-time employment (40h/week)
- Student and employee status
- Start date: as soon as possible
Your role
The candidate's tasks include:
- conducting research publishable in reputable international venues
- writing progress reports and presentations towards thesis
- working constructively towards collectively defined research goals
- assisting with teaching classes related to security and formal methods
- assisting with supervising master students
The candidate will contribute to the FNR CORE project "Give control back to users: personalised privacy-preserving data aggregation from heterogeneous social graphs" (HETERS). The project is within the Security and Trust of Software System (SaToSS) research group led by Prof. Sjouke Mauw. The purpose of the project is to aggregate and release heterogeneous social network data with the help of social network users while preserving their personalized privacy requirements. The successful candidate will conduct research with a focus on designing methods to synthesise heterogeneous social graphs with data that are privately collected and aggregated from volunteering users.
Your Profile
The candidate must have a master degree and outstanding qualifications in computer science, mathematics or a related discipline. We also expect the successful candidate to have:
- knowledge and strong interest in social network security analysis and privacy preserving methods
- a strong mathematical background and an analytical mind
- knowledge about deep learning models on graphs
- strong self-motivation, commitment, and ability to work in a team
- fluent written and verbal communication skills in English
How to apply
Applications, written in English, should be include:
- detailed curriculum vitae, including your contact address, work experience and publications
- letter of motivation
- degree certificates and transcript of all grades from university-level courses taken
- contact information for 2-3 referees
Please note that the motivation letter must clearly state how the experience and interests of the candidate are related to the PhD topic advertised. Generic applications that are not tailored to the group and topic will not be considered.
The application should be submitted online. The link for submission will be published soon once it is available on this page. The Early submission is highly encouraged as the applications are processed in the order of reception. Applications by email will not be considered, but we encourage applicants to contact us with questions. For further information, please contact Dr. Xihui Chen or Dr. Jun Pang.