PhD Position in Context-Sensitive Security and Privacy for the Internet of Things

Deadline: 31 January 2016
Open to: holders of  Master degree in Computer Sciences
Scholarship: highly competitive salary


The University of Luxembourg seeks to hire outstanding researchers at its Interdisciplinary Centre for Security, Reliability and Trust (SnT), in the SERVAL team under Prof. Le Traon. The PhD position is offered within the upcoming H2020 bIoTope project, which involves 21 partners ad takes place between 2016 and 2019. Proofs-of-concept might be potentially developed in smart city settings (given three cities are official bIoTope partners).

The PhD candidate will join the SerVal research team of SnT, headed by Prof. Yves Le Traon, and contribute to:

  • Conduct applied research in the area of Context-Sensitive Security & Privacy for the IoT;
  • Manage the H2020-related task (e.g., contribute to the deliverables, international consortium meetings);
  • Disseminate your research through publications in top scientific conferences or journals.


Ideally, the PhD candidate has:

  • A Master degree in Computer Sciences;
  • Competences in security, privacy and any related area (e.g., trust and ownership of data);
  • Expertise in decision support systems (e.g., use of MCDM technique), machine learning, knowledge representation;
  • Basic knowledge in IoT-related solutions (protocols…);
  • Programming skills (Java, Javascript, XACML, R, SQL/NoSQL, UML);
  • Fluent written and verbal communication skills in English are mandatory;
  • Commitment, team working and a critical mind.


The University offers a PhD study program of 3 years, starting with a fixed term employment contract of 14 months extendable up to 36 months, on full time basis (40hrs/week). The University offers highly competitive salaries and is an equal opportunity employer. You will work in an exciting international environment and will have the opportunity will have the opportunity to participate in the development of a dynamic and growing centre.

How to apply?

Applications, written in English should be submitted online and should include:

  • Curriculum Vitae (including your contact address, work experience, publications);
  • Cover letter indicating the research area of interest and your motivation;
  • A research statement which addresses specifically the topic of the position (300 words);
  • Transcript of all courses and results from the university-level courses taken;
  • A short description of your Master’s work (max 1 page);
  • Contact information for 3 referees.

Deadline for applying is 31 January 2016.

For more information please visit the official website.

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