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
Successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G on organisations from both the private and public sectors. The group consists of doctoral and post-doctoral researchers from diverse backgrounds. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects
Successful candidate will pursue a Ph.D. degree (Doctorate) in computer science or software engineering with a focus on differential privacy (DP) and other secure computing techniques while collaborating with the Ministry for Digitalization. This project aims to advance privacy-preserving techniques for data analysis and task automation, ensuring robust protection of sensitive information. The focus will be on developing and evaluating differential privacy frameworks, as well as secure computing techniques to enable secure, private, and scalable data-driven systems for the secure and privacy-preserving utilization of public data. Key challenges include balancing privacy guarantees with utility, designing efficient algorithms for real-world applications, and assessing security and business implications in practical settings.
In general, the candidate will perform the following tasks:
- Carry out research in areas relevant to differential privacy, such as:
- Implementing novel differential privacy mechanisms for data analysis and automation tasks
- Benchmarking state-of-the-art differential privacy techniques with respect to cost, performance, and utility
- Developing architectures and tools for privacy-preserving task automation
- Exploring machine learning in privacy-sensitive settings
- Investigating trade-offs between explainability, privacy, and system performance
- Disseminate results through scientific publications in leading outlets at the intersection of privacy, information systems, and computer science
- Support the conceptualization and writing of research proposals to attract industry partnerships and secure national and European grants
- Conduct research projects and and deliver project outcomes in collaboration with academic and public sector partners
For further information, please contact Afshin Khadankishandi () and Gilbert Fridgen ().
Your profile
- Master's degree in Computer Science, Computer Engineering, Software Engineering, Data Science, Information Systems (Engineering), Mathematics, or related fields with robust mathematical expertise
- Strong programming skills in at least one major programming language
- Interest in cloud-based architectures
- Familiarity with differential privacy will be beneficial
- A collaborative team player with a desire to make a personal impact within our interdisciplinary research group
- The commitment to participate in the design and implementation of high-quality solutions that solve significant problems
- Self-initiative, creativity, curiosity, flexibility and enthusiasm to work
- The position requires English-language proficiency for both written and verbal communication. Knowledge of French, German and/or Luxembourgish is not required
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, written in English should be submitted through the University's job portal and should include:
- A cover letter including:
- A statement on the candidate's personal motivation for applying (why a doctoral program, why in Luxembourg, minimum 300 words)
- A statement on the candidate's motivation for applying for this topic (minimum 300 words)
- Full CV, including the contact address and work experience
- 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.
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 36 Month - extendable up to 48 months if required
- Work Hours: Full Time 40.0 Hours per Week
- Location: Kirchberg Campus
- Internal Title: Doctoral Researcher
- Job Reference: UOL07060
The yearly gross salary for every PhD at the UL is EUR 40952 (full time).
