ELTE IK fejléc
Navigációs hivatkozások átugrása
About us
EIT ICT Labs Master School
International application
Navigációs hivatkozások átugrása
BSc programmes
MSc programmes
PhD School
Postgraduate specialist training courses
Higher-level vocational training
International Studies of ELTE
5G Edge Computing Programming Assessment
A Novel Toolset of Complex Machine Learning Solutions for segmented and fully distributed computing environments
Vendor neutral data-plane solutions for software-defined networking
Intelligent Test Traffic Generator for Telecommunications Networks

5G Edge Computing Programming Assessment

The EIT Digital Doctoral School offers an Industrial Doctorate position in the field of 5G Edge Computing. The doctoral candidate will seek to assess a programming strategy that would support low latency Cloud Computing capabilities by opening the 5G Radio Access Network at the proximity of the mobile subscribers. The work will be carried out with the support of EIT Digital Partners Ericsson Hungary and the Eötvös Loránd University (ELTE), in Budapest.

The 5G Edge makes possible the development of technologies, especially related to the Internet of Things, which need a trustable and efficient mobile network. The study will go through the different use cases proposed by the industrial partner to define the best software architecture definition approach.


While standards and the use cases of edge computing in the mobile network are under discussion, the industry starts moving on, in order to define products and services that will outcome from its hype. The project should investigate closely this movement and its implications in the software industry, by getting closer to use cases being developed, studying and measuring the possible strategies, and exploring possible solutions such as the utilization of containerized software, virtualized functions, or automatic software partitioning.


In the first phase, we will define the experimental environment setup, installing a structure that simulates an edge cloud. We will install different software across the platforms, performing different tasks such as Augmented and Mixed Reality support, video rendering and image processing. During the experiment, we will allocate resources using as many different approaches as possible, while profiling the memory footprint, the energy consumption, and other characteristics as well. Based on this profiling, we will analyse and compare the results for each scenario. In the second phase, we will simulate a more heterogeneous environment, where the data coming from heterogeneous resources will need to be synchronized.

Expected outcome

As a result of this cooperation between Ericsson and ELTE, we expect to have a well proven and explained model for assessing the development of solutions using 5G Edge. This is well in line with the goals of the Digital Infrastructure Action Line of EIT Digital, as explained by Henrik Abramowicz, the Action Line Leader: “Edge computing is a very important tool in order to drive digitalisation for vertical segments like manufacturing or autonomic driving, where latency is considered critical. Defining a model of how to partition the applications will have an immense impact by facilitating applications that are real-time oriented, opening them up even for non-expert real-time software programmers”.


The position is based in the Doctoral School Training centre in Budapest where a strong ecosystem for Digital Infrastructure exists. The PhD student might have the opportunity to get involved in 5G-related European Research Projects where Ericsson is participating, and spend six months of geographical mobility in a European Research Lab with outstanding expertise in 5G Edge Computing. A reasonable candidate might be Ericsson Research Stockholm.


  • Industrial partner: Ericsson Hungary
  • Academic/research partner: Eötvös Loránd University (ELTE)
  • DTC location: Budapest
  • Number of available PhD positions: 1
  • Duration: 4 years
  • This PhD will be funded by EIT Digital, Ericsson, and the Eötvös Loránd University (ELTE).

The person applying for this position should be already enrolled in the Doctoral School of ELTE, and should have started his PhD studies in 2017.


Those interested in applying should send a letter of interest to Zoltán Istenes (zoltan.istenes@eitdigital.eu EIT Digital – Budapest Doctoral Training Centre Lead).

Please apply before September 30, 2017. Extended to October 15, 2017.