Doctoral Candidate (PhD student) in UAV-Assisted Communications for 6G Wireless Networks (M/F)
Université du Luxembourg
Alphonse Weicker, Luxembourg
il y a 6j

Votre profil

The candidate should possess an M.Sc. / M.Eng. Degree in Telecommunication Engineering, signal processing, machine learning or a closely related field in Electronic, Electrical and Computer Engineering.

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

  • 5G wireless communications technologies
  • Unmanned Aerial Vehicle (UAV) communications networks
  • Resource slicing and network slicing
  • Ultra-reliable and Low-latency Communications (URLLC)
  • Radio resource allocation / management (e.g. power allocation, frequency assignment, scheduling, beamforming, etc.)
  • Joint communication and control design
  • and be familiar with the principles of

  • Linear Algebra
  • Optimization techniques and tools
  • Statistical Signal Processing
  • Machine learning / deep learning
  • Programming skills : MATLAB, Python or C++.

    Language Skills : Fluent written and verbal communication skills in English are mandatory.

    For further information, please contact : Dr. Shree Krishna Sharma (shree.sharma uni.lu).

    Notre offre

    The University offers highly competitive salaries and is an equal opportunity employer.

    Informations supplémentaires

    The candidate should possess an M.Sc. / M.Eng. Degree in Telecommunication Engineering, signal processing, machine learning or a closely related field in Electronic, Electrical and Computer Engineering.

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

  • 5G wireless communications technologies
  • Unmanned Aerial Vehicle (UAV) communications networks
  • Resource slicing and network slicing
  • Ultra-reliable and Low-latency Communications (URLLC)
  • Radio resource allocation / management (e.g. power allocation, frequency assignment, scheduling, beamforming, etc.)
  • Joint communication and control design
  • and be familiar with the principles of

  • Linear Algebra
  • Optimization techniques and tools
  • Statistical Signal Processing
  • Machine learning / deep learning
  • Programming skills : MATLAB, Python or C++.

    Language Skills : Fluent written and verbal communication skills in English are mandatory.

    For further information, please contact : Dr. Shree Krishna Sharma (shree.sharma uni.lu).

    Applications should be written in English and should include :

  • Full CV, including : For each degree received or currently enrolled in, provide the degree, institution name, institution city and country, and date (or expected date) of graduation.
  • Include the title and short summary of your final (Bachelor / Master) Thesis if you did one.List of publications (if any)Name, affiliation and contact details of three referees

  • Transcript of all modules and results from university-level courses taken
  • Cover letter with motivations and topics of particular interest to the candidate (approx. 1 page).
  • All qualified individuals are encouraged to apply.

    Deadline for applications : until we have found a candidate

    Please apply ONLINE formally through the HR system. Applications by email will not be considered. Early submission is encouraged as applications will be processed upon arrival.

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