The University of Luxembourg has the following vacancy in the Computer Science and Communications Research Unit (CSC) within the Networking Research Group (SECAN-Lab) headed by Prof. Dr. Thomas Engel:
Junior Researcher / Doctoral candidate (PhD student) in Security and Privacy in Network Communication
The CSC is a dynamic and competitive research unit of the University of Luxembourg focused on domains of Advanced Software Systems, Communicative Systems, Intelligent and Adaptive Systems, Information Security. Research projects of CSC are performed in close collaboration with two Interdisciplinary Centers of the University – Interdisciplinary Centre for Security, Reliability and Trust (SnT) and Luxembourg Centre for Systems Biomedicine (LCSB).
We seek a highly skilled doctoral student to work on a PhD thesis in the domain of computer science with strong focus on security and privacy in distributed systems, network communication, vehicular networks. Traditional secure communications systems still leak information about the routing of messages in the network (who is talking to whom, time and volume of data transmitted, chat initiation and replies, on-line presence) that may be used by adversaries to gain intelligence. Making use of this information, called traffic analysis, has been known and practiced for many years by military and intelligence agencies. Now it is also a common tool for hackers, trying to probe networks to discover their topology and vulnerabilities, as well as fraudsters that attempt to extract personal data to trick individuals or perform identity theft. Your goal will be to analyze the susceptibility of existing privacy-preserving routing protocols with respect to traffic analysis and to design and analyze appropriate countermeasures to hamper this analysis or even to render it impossible. This has to be done taking into account quality-of-service, scalability, as well as legal requirements. You will also assist the professor in his teaching activities (on topics related to your PhD thesis), one to three hours per week and contribute to tutoring students.
- Master’s degree (or equivalent) in Computer Science, Applied Mathematics, Applied Physics, Bioinformatics or related disciplines.
- Knowledge of at least one programming language (C++, Java, etc.) and scripting language (Perl, Python, etc).
- Basic Linux/Unix skills.
- Knowledge of data mining, machine learning, statistics and results visualization concepts is of advantage.
- Excellent working knowledge of English; German and/or French is of advantage.
- Excellent communication skills.
- Fully funded position with a highly competitive salary.
- A scientifically stimulating, innovative, dynamic, well-equipped, and international working environment.
- Opportunity to participate in the development of the recently created research center and to work with our world-wide academic partners.
- Enrolment in the Doctoral School of the University of Luxembourg to complement the research-oriented PhD program by complementary courses in computer science or other research-related skills.
- Opportunity to collaborate with Interdisciplinary Centers of the University of Luxembourg.
- Travel opportunities for training and meeting with our collaborators.
- Administrative support for project and office matters.
The University of Luxembourg offers highly competitive salaries based on the candidate’s experience and is an equal opportunity employer.
Applications written in English or German should include:
- A detailed Curriculum Vitae.
- A motivation letter, including a brief description of past research experience and future interests.
- Copies of Master’s degree or equivalent certificate.
- Transcript of all courses and grades for your Bachelor and Master.
- A short description of your Master's work (max 1 page).
Please direct your application by postal mail to
Please note that we will neither accept nor reply to applications sent via e-mail.