Doctoral candidate (PhD student Position) “Optimization and Machine Learning for 5G Networks”,
Université du Luxembourg
Alphonse Weicker, Luxembourg
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Votre profil

Qualification : The candidate should possess an MSc degree or equivalent in Electronic Engineering, Computer Science or Applied Mathematics.

Experience : The ideal candidate should have some knowledge and experience in a number of the following topics :

  • Signal processing for wireless communications
  • Radio resource optimization in 4G / 5G / IoT networks
  • Applications of machine / deep learning in wireless communications and IoT networks
  • and be familiar with the principles of

  • Optimization theory
  • Machine / deep learning
  • Statistical signal processing
  • Programming skills : familiar with optimization / deep learning tools, and strong in one of the programming languages MATLAB, Python, or C++.

  • Language Skills : Fluent written and verbal communication skills in English are mandatory
  • Notre offre

    The University offers a Ph.D. study program with a Fixed Term Contract up to 3 years in total, pending satisfaction of progress milestones (CDD), 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 to participate in the development of a newly created university.

    Informations supplémentaires

    Application should include :

  • Full CV, including list of publications and name (and email address, etc.) of 2-3 referees
  • Transcript of all modules and results from university-level courses taken
  • Research statement and topics of particular interest to the candidate (300 words).
  • All qualified individuals are encouraged to apply online. Deadline for applications : 31 August, 2019

    Please apply formally through the HR system. Applications by email will not be considered.

    Early application is highly encouraged as the applications are processed upon reception.

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