Doctoral candidate (PhD student) in Beyond 5G/6G Wireless Communications Technologies (M/F)
Université du Luxembourg
Alphonse Weicker, Luxembourg
il y a 14h

Your Role

The successful candidate is expected to perform the following tasks :

  • Carrying out novel research works in one of the following predefined areas Novel communications technologies for Beyond 5G / 6G networks and services
  • Cellular, UAV, IoT, Tactile Internet, MEC, V2X, D2D, M2M, eMBB, mMTC and URLLC Machine learning / deep learning techniques and Artificial Intelligence for wireless communications Reinforcement learning, active learning, transfer learning, federated learning and interpretable / explainable AI Software defined networking, network virtualization and network slicing for wireless networksEnergy-efficient communication technologies Energy harvesting, SWIPT, backscatter communications and reconfigurable intelligent surfaces Advanced multi-antenna technologies for B5G / 6G wireless networks Massive MIMO, cell-free massive MIMO, beamspace massive MIMO, active antennas, smart antennas, precoding, hybrid analog-digital beamforming and 3D beamforming Communications technologies at the higher frequencies mmWave, TeraHertz and optical Communication technologies for Tactile Internet applications including wireless augmented / virtual reality and teleoperation systemsQuantum-assisted communication technologies for 6G wireless networks
  • Disseminating results through scientific publications
  • Presenting results in the well-known international conferences and workshops
  • Your Profile

    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.

    The ideal candidate should have been within top 10% of class during his / her graduation, and should have published at least one authored conference paper in an international conference or one authored journal paper in an international journal.

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

  • 5G wireless communications technologies
  • Wireless Internet of Things (IoT) technologies
  • Unmanned Aerial Vehicles (UAVs)
  • Resource allocation and optimization
  • Network virtualization and network slicing
  • MAC techniques / protocols for wireless systems
  • Graph signal processing
  • Machine learning (supervised, unsupervised and reinforcement) and tools (TensorFlow, PyTorch, Keras and GreyCat)
  • Deep learning (deep neural network, recurrent neural network, LSTM)
  • Optimization theory
  • Stochastic geometry
  • Programming skills : MATLAB, Python or C++.

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

    We offer

    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), full-time (40 hrs / week).

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

    Further Information

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

  • Curriculum Vitae (including your contact address, work experience, publications)
  • Cover letter indicating the research area of interest and your motivation
  • A research statement (max. 1 page)
  • Contact information for 3 referees
  • All qualified individuals are encouraged to apply.

    The applications will be evaluated on a monthly rotating basis and will be processed immediately thereafter. Please apply ONLINE formally through the HR system.

    Applications by email will not be considered.

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