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
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)
Programming skills : MATLAB, Python or C++.
Language Skills : Fluent written and verbal communication skills in English are mandatory.
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.
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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