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Vacancy for a Postdoctoral Researcher at TU/e - profile 5G test-bed

Work environmentEindhoven University of Technology (https://www.tue.nl/en/) is one of Europe's top technological universities, situated at the heart of a most …

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de Rondom, Eindhoven, Noord-Brabant
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur


Work environment
Eindhoven University of Technology (https://www.tue.nl/en/) is one of Europe's top technological universities, situated at the heart of a most innovative high-tech region of Europe- Eindhoven Brainport. Thanks to a wealth of collaborations with industry and academic institutes, our research has real-world impact.

In 2018, for the first time Eindhoven University of Technology entered the top 100 of the QS World University Rankings for the best universities worldwide. TU Eindhoven is doing remarkably well in the category of scientific citations. TU/e is 25th globally and the highest in the Netherlands. The CWTS Leiden Ranking put Eindhoven University of Technology top of its worldwide list of 'broad' technical universities in the field of combined research with industry. TU/e has around 3,000 employees and 2,300 PhD students (half of which international, representing about 70 nationalities).

The candidate will work at the Department of Electrical Engineering (https://www.tue.nl/en/university/departments/electrical-engineering/). Within the Department of Electrical Engineering at TU/e, research and education is done in the areas of Telecommunication, Signal processing, and energy transfer. The Interfaculty Institute for Photonic Integration (IPI) performs research in the area of materials, photonic integration and systems for telecommunications, sensing and radar, quantum photonics, 5G photonics and Terahertz systems. In close collaboration with the Photonic Integration Technology Center (PITC) we are building a truly end-to-end test-bed for 5G vertical applications and a large number of business cases ranging from automated driving to e-health and industry 4.0.

Research Challenges in 5G PPP projects blueSPACE and 5G-PHOS
The H2020 5G-PPP project blueSPACE addresses the challenges of increased capacity, scalability, manageability, resource allocation of 5G networks by adopting a pragmatic yet disruptive and future proof approach. The core concept of this project is exploiting the added value of Spatial Division Multiplexing (SDM) in the Radio Access Network (RAN) with efficient optical beamforming interface for the pragmatic Ka-band wireless transmission band. Both being seamlessly integrable in next generation optical access networks infrastructures with massive beam steering capabilities and with flexible network management control blueSPACE proposition offers unrivalled characteristics that include: a) increased bandwidth provision by naturally enabling and supporting massive multiple Input Multiple Output (MIMO) in the Ka-band with seamless starting/ending interface with the fiber medium by exploiting space diversity in the RF domain with efficient beamsteering in the photonic domain, b) A compact infrastructure that is reconfigurable by means of Software Defined (SDN) and Network Function Virtualization (NFV) paradigms and with c) full integration with existing approaches for access networks such as Passive Optical Networks (PONs). By achieving its goal blueSPACE is a truly viable and efficient path for 5G wireless communications with a 1000-fold increase in capacity, connectivity for over 1 billion users, strict latency control, and network software programming.

The H2020 5G-PPP 5G-PHOS aims to architect and evaluate 5G broadband wireless networks for dense, ultra-dense and Hot-Spot area use cases drawing from recent results in the area of optical technologies towards producing and exploiting a powerful photonic integrated circuit technology toolkit. It aims to streamline advances in multi-format and multi-bitrate optical communications, in InP transceiver, in Triplex optical beamformers and in integrated optical add/drop multiplexers in order to migrate from CPRI-based towards integrated Fiber-Wireless (FiWi) packetized C-RAN fronthaul supporting massive mmWave MIMO communications. It will deliver: a) a set of SDN-programmable units, called FlexBox and FlexBox-Pro, that will be compatible with the emerging 25Gb/s PON access networks and can deliver FiWi traffic ranging between 25-400Gb/s, b) a set of three different 64x64 MIMO Remote Radio Head configurations exploiting analog optical beamforming and producing 25Gb/s, 100Gb/s and 400Gb/s wireless data-rates, c) an integrated FiWi packetized fronthaul for supporting Medium-Transparent Dynamic Bandwidth Allocation mechanisms and cooperative radio-optical beamforming, d) a converged FiWi SDN control plane for optimally orchestrating both the optical and the wireless resources. These blocks will be integrated towards architecting 5G networks for 3 use cases, evaluating their performance in lab-scale and field-trial experiments:

a. 25Gb/s peak data rate PON-overlaid 5G FiWi network for dense areas, capable to offer densities up to 1.7 Tb/s/km2, to be demonstrated also in field-trial experiments at the deployed network of Cyprus operator MTN.

b. 400Gb/s peak data-rate SDM-enabled 5G FiWi network targeted for ultra-dense environments and being capable of offering densities up to 28 Tb/s/km2 with <1msec latency.

c.100Gb/s peak data-rate WDM-enabled 5G FiWi network targeted for Hot-Spot areas and being evaluated in field-trial experiments at the stadium of P.A.O.K. F.C. in Thessaloniki, Greece.

The Eindhoven 5G Brainport test-bed
In this context, the aim of the Eindhoven 5G Brainport testbed complex is to offer an attractive open environment for pilot tests as well as evaluations for applications and scenarios that require the new stringent 5G KPIs to be met, like, e.g., robot-to-robot communication, fronthaul to robot, robot-to-drone, 5G automated vehicle driving, to name but a few. To do so, the Eindhoven 5G Brainport testbed complex will deploy a unified open framework for seamless interoperability and orchestration of underlying hardware components, which can offer fast service creation and trial setups by vertical industries for the validation of core 5G KPIs according to different use cases. Indicatively, broadband access in 5G KPIs is expected to reach 1000x the capacity of current 4G long-term evolution technology and an ultra-low latency down to 1 ms, while maintaining low-cost and power consumption. Hence, an ultra-reliable low latency communications (URLLC) platform with a highly heterogeneous pool of resources that can support different requirements has been developed and has its main features presented in this paper, enabling the evaluation of 5G communication targets over a versatile use case platform over the entire range of URLLC services.

Furthermore, the Eindhoven 5G Brainport testbed, under development in the TU/e campus, operates over a metro-optical network with edge computing capabilities and offers ultra-reliable connectivity for delay sensitive and possibly bandwidth-hungry applications by merging real-time sensor data and offloaded tasks with big data analytics. It exploits a unique synergy of optical and wireless technologies employing advanced optical space-division multiplexing (SDM) technologies via multi-core optical fiber links and optical beamforming to enable flexible network architectures with advanced functionality, especially focusing on automotive and robot use cases. Accordingly, robotic use-case validation trials requiring increased capacity and low latency to control and coordinate robotic processes can become a reality, as do automotive scenarios, where cars require a fast and ultra-reliable connection to deliver information regarding their environment, location and road safety. The Eindhoven 5G Brainport platform allows validation and exploitation of these scenarios in a highly dynamic and integrated testbed. It is also the vision to incorporate part to this 5G test-bed into the Eindhoven Brainport test-bed for quantum key distribution (QKD) for secure data communication.

The candidate
We are looking therefore for strong post-doctoral researcher to take up these challenges required to bring this research forward and specially to build further the Eindhoven 5G test-beds.

Position profile: 5G sub-systems, demonstration and test-bed for end-end-to test and validation

The candidate for this position will carry out research and development in:
  • Test of subsystem for both analog and digital radio-over-fiber transceivers for the blueSPACE SDM concept
  • Test and evaluation of beamforming systems for the blueSPACE and/or 5G-PHOS concepts
  • Test of subsystem for both analog and digital radio-over-fiber transceivers for the 5G-PHOS FlexBox concepts and versions
  • Test-bed preparation, experimental validation and demonstrations of use cases defined in blueSPACE
  • Test-bed preparation, experimental validation and demonstrations of use cases defined in 5G-PHOS
  • Contribute to set-up and define the interfaces, and requirements for SDM based 5G front-haul network and SDN/NVF framework for the use cases and demonstrations in blueSPACE and 5G-PHOS
  • Contribute to the definition of the roadmaps for research and development for migration and deployment studies for 5G networks and what shall come next such as 6G systems
  • Test and evaluation of several multicore-fiber based components and systems such as fan in/out, (de)mux stages over a SDM fronthaul for the blueSPACE approach
  • Perform and contribute to the Integration of SDN and RAN in blueSPACE

    The candidate for this position will contribute to the TU/e efforts in stablishing the collaboration liaisons with the blueSPACE and 5G-PHOS partners and other researchers in the project. The candidates will contribute to the related project reporting, scientific publication and dissemination activities and preparation of proposal for grant to national and European projects. The candidate is expected to interact with the PITC team in the efforts of stablishing and operating the common activities in the Eindhoven 5G test-beds.

  • Functie-eisen

  • PhD or MSc in electronic engineering, telecommunications, optical fibre communications, wireless communications, applied physics.
  • Solid background and skills in optical fibre communication and wireless communications, experimental/laboratory set-ups, experience with latency measurements and mobile/outdoor RF communications system deployment is an asset
  • Good knowledge of mm wave wireless communications
  • Knowledge of SDN/VNF is an asset
  • Ability to work with experts from a broad range of scientific and technology backgrounds
  • Fluent spoken and written English
  • Arbeidsvoorwaarden

  • A challenging job in a dynamic and ambitious university and a stimulating internationally renowned research group
  • The candidate will work in close collaboration with project partners in blueSPACE
  • Full-time temporary appointment for initially 1 year, with outlook on an extension
  • A gross salary between €3173,- and €4852,- per month, depending on knowledge and experience level
  • An attractive package of fringe benefits, including excellent technical infrastructure, savings schemes, and excellent sports facilities, holiday allowance (8%, May), and end­of­year bonus (8.3%, December). Foreign experts may benefit from the 30% tax regulation in order to get a higher net salary, when granted.

  • Additionele informatie

  • For more information about the project and any informal enquiries, please contact Prof.dr.ir. Idelfonso Tafur Monroy (i.tafur.monroy@tue.nl )
  • For information concerning employment conditions you can contact Paul Hulsen (P.H.W.Hulsen@tue.nl )
  • More information on employment conditions can be found at www.tue.nl/en/university/working-at-tue/working-conditions/ .
  • Start date: as soon as possible

  • Application
    If interested, please use 'apply now'-button at the top of this page. You should upload the following:
  • A detailed curriculum vitae, a letter of motivation and portfolio with relevant work.
  • A cover letter explaining your motivation and suitability for the position.
  • A detailed Curriculum Vitae (including a list of publications and key achievements in research project(s)).
  • Contact information of two references.
  • Copies of diplomas with course grades.

  • Candidates will be selected based on graduation mark and proficiency at university including consideration of the reputation of the university, relevant experience and skills, writing skills and publications, work experience as well as performance in relevant modeling exercises and interviews.

    Please keep in mind; you can upload only 5 documents up to 2 MB each.