Doctoral candidate (PhD student) in Computer Science

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

The Faculty of Science, Technology and Medicine (FSTM) contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens, in order to better understand, explain and advance society and environment we live in.

The University of Luxembourg invites applications in the Department of Computer Science (http://dcs.uni.lu ) within its Faculty of Science, Technology and Medicine.

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.

What we expect from you…

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

We offer...

a large and dynamic research group with an exciting international environment
training in scientific and transferable skills; participation in schools, conferences and workshops.
the University of Luxembourg offers highly competitive salaries and is an equal opportunity employer

In Short...

Contract Type: Fixed Term Contract 36 Month - extendable up to 48 months if required
Work Hours: Full Time 40.0 Hours per Week
Foreseen starting date: April 2022
Employee and student status
Location: Belval
Topics: security and privacy in graph data aggregation
Job Reference: UOL04597
The yearly gross salary for every PhD at the UL is EUR 37.101,36 (full time)

How to apply...

The application, written in English, should 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.

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 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.

In return you will get…

• 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 …

Further information...

For further information, please contact Dr. Xihui Chen or Dr. Jun Pang