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Doctoral candidate (PhD student) in Security and Privacy in Network Communication

 University of Luxembourg  1359 Luxembourg
The University of Luxembourg has the following vacancy in the Computer Science and Communications Research Unit (CSC).

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 – SnT and LCSB.
Junior Researcher / Doctoral Candidate (PhD student) in Security and Privacy in Network Communication (m/f)
  •  Fixed-term contract 3 years, 40h/week
  • Ref.: F1-070062
  • Start date: as soon as possible after the applications deadline

Area: Computer Networks and Telecommunications, Distributed Systems, Security and Privacy.

Your Role 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.

For further information please contact:
Prof. Thomas Engel:

Your Profile
  • 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.
We offer
  • Fully funded position with a competitive salary
  • A scientifically stimulating, innovative, dynamic, well-equipped, and international working environment.
  • Opportunity to participate in the development of the recently created LCSB 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.
Applications (in English) should contain the following documents:
  • 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).
  • Name and contact information of at least two referees.
Please apply online by 16th January 2016.

How to apply:
Only applications submitted via this link will be considered.
Send application to
Only applications submitted via this link will be considered.

While applying for the job please refer to jobvector and use the following reference number: F1-070062

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