PhD Position in Self-Sustainable beyond-5G Mobile Edge Networks
Catholic University of Leuven Department of Electrical Engineering

The research group ESAT-TELEMIC of the Department of Electrical Engineering (ESAT) focuses on Telecommunications and Microwaves. Within TELEMIC, the Networked Systems group covers research on several fields of wireless networking: Massive MIMO, UAV communications, mmWave, AI and Machine Learning, and Internet of Things. Networked Systems is looking for a suitable candidate to pursue a PhD in the topic of energetically self-sustainable beyond-5G mobile edge networks. In this PhD project, the aim is to combine expertise from ESAT-TELEMIC on 5G and AI, with various partners to tackle the huge energy consumption problem of computing and AI applications.


Fifth generation (5G) and beyond-5G networks are expected to lead to a further revolution, enabling ubiquitous and enhanced broadband services, smart/autonomous vehicles, intelligent transport, and complex human machine interactions. Various reports indicate that mobile networks have a large carbon footprint already, and that their worldwide energy consumption is expected to rise to 1,700 TWh of electric energy by 2030. A deeper look into the energy consumption figures reveals that 90% of the energy drained by mobile networks is taken up by the access network, and that two thirds of this is due to base stations. To respond to such data growth, while meeting the rate and latency requirements of the underlying new services, the next milestone in beyond-5G networks is to perform computation right at the network edge empowering base stations and other edge nodes with processing capabilities.

The PhD student will work on the design and implementation of energetically sustainable communication and computing algorithms for beyond-5G mobile networks encompassing all system layers and components. Machine learning techniques will be exploited to detect network behaviors and to match application requirements with an adaptive low-latency Medium Access Control (MAC)-layer scheduling among sensor devices. Along these lines, dedicated algorithms will be conceived to allow running computing services in IoT nodes in extreme environments with intermittent communications and scarce/intermittent energy availability.


The applicant should have a Master Degree in Electrical Engineering and should meet the minimum eligibility criteria for a PhD at KU Leuven, namely having very good grades as well as mature mastering of English, both oral and in writing. The applicant should preferably have a background in wireless communication, performance modelling or optimization and edge computing. 


We offer a PhD scholarship up to four years (subject to positive intermediate evaluations). If the applicant is non-EER, also up to 1 year pre-doc will be supported.


For more information please contact Prof. dr. ir. Sofie Pollin, tel.: +32 16 32 10 51, mail: or Mr. Sreeraj Rajendran, tel.: +32 16 37 40 84, mail:

You can apply for this job no later than August 31, 2020 via the
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at
  • Employment percentage: Voltijds
  • Location: Leuven
  • Apply before: August 31, 2020
  • Tags: Elektrotechniek

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