Doctoral Candidate (PhD student) Security and Privacy in Network Communication (M/F)

Employer
Faculty of Science, Technology and Communication (FSTC)
Location
Luxembourg
Posted
September 13 2017
Position Type
Full Time
Organization Type
Academia

The University of Luxembourg is a multilingual, international research University.


Doctoral Candidate (PhD student) Security and Privacy in Network Communication (M/F)


  • Ref: R-AGR-3125-17-C

  • Fixed term employment (fixed-term contract 14 months, renewable up to 36 months in total, pending satisfaction of progress milestones)

  • On full-time basis (40 hours/week)

  • Number of positions: 2

 


The University of Luxembourg offers the opportunity to join a high-level industry-driven research group carrying-out internationally competitive research in secure, reliable and trustworthy ICT systems and services. The successful candidate will work alongside an interdisciplinary and horizontal team focusing on the design and implementation of new architectures and communication paradigms for the IoT and ad-hoc networks, meeting the challenges posed by the Future Internet. The position is within the Faculty of Science, Technology and Communication (FSTC) in Computer Science and Communications (CSC) Research Unit.


Your Role:


Our research intensive PhD programme offers students unique opportunities to pursue globally competitive research alongside forging their own career path, whether aimed at future postdoctoral research or direct job integration in one of our industry partners. As a junior research associate, you will be committed to excellence in the domain of computer science with strong focus on security and privacy in distributed systems and network communication. Specifically, you will integrate a current research project focused on the analysis of the susceptibility of existing privacy-preserving routing protocols with respect to traffic analysis together with the design and analysis of appropriate countermeasures that take into account quality-of-service, scalability, and law enforcement requirements.


For further details of the group's current research and industry partners, visit: https://secan-lab.uni.lu/


Your Profile:


  • MSc in Computer Science, Applied Mathematics/Physics or related field and

  • Experience with programming (C++, Java, etc.) and/or scripting languages (Perl, Python, etc).

  • Basic Linux/Unix skills are desirable, but not essential.

  • Knowledge of data mining, machine learning, statistics and result visualization concepts will be considered as an advantage.

  • Fluent written and verbal communication skills in English are mandatory

 


Offer:


The University offers a fixed term employment (14 months fixed-term contract, renewable up to 36 months).


Our PhD students and junior associates enjoy competitive salary and generous travel allowance to attend conferences and workshops. You will be enrolled in the University of Luxembourg's Doctoral School with opportunities to pursue complementary courses in computer science or other research-oriented skills. The group is dedicated to increasing the personal market value of its researchers, ensuring their best options to pursue their academic or industry careers. Currently, the group also accepts PhD supervisions in languages including (but not limited to) French, English, Spanish, Ukrainian, Italian, Arabic, Greek, German or Luxemburgish. Researchers are encouraged to use their mother tongue in their daily professional life.


Other advantages include:


  • A scientifically innovative, well-equipped, and international working environment

  • 32 days annual leave, monthly lunch vouchers, personal insurance, subsidized public transport

  • Opportunity to collaborate with Interdisciplinary Centres of the University of Luxembourg

  • The University is an equal opportunity employer. Women, minorities, and individuals with disabilities are encouraged to apply.

 


Application:


Applications must include a cover letter, CV, and copies of official transcripts (indicating the maximum possible grade and the minimum one that is required to pass).


 


Please apply ONLINE until November 1st, 2017. However, early applications are encouraged and will be regularly processed before the deadline.


Link : http://emea3.mrted.ly/1klzs


 



This job comes from a partnership with Science Magazine and Euraxess