2 PhD positions on 5G technology Delft University of Technology, Faculty Electrical Engineering, Mathematics and Computer Science Netherlands

2 PhD positions on 5G technology


Department/faculty: Faculty Electrical Engineering, Mathematics and Computer Science 

Level: University Graduate 

Working hours: 38-40 hours weekly 

Contract: 4 years 

Salary: 2222 - 2840 euros monthly (full-time basis)


Faculty Electrical Engineering, Mathematics and Computer Science


The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. Within this interdisciplinary and international setting the faculty employs more than 1100 employees, including about 400 graduate students and about 2100 students. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics.


Job description


Delft University of Technology and KPN, the leading fixed and mobile telecom operator in The Netherlands, have started a collaboration, called NExTWORKx. Goals of this collaboration include excellent academic research into both fundamental properties and implementation of the next generation telecommunication networks. In the first phase of the collaboration, 6 PhD students, daily supervised by experts in both TUDelft and KPN, will focus on themes that are relevant for KPN in order to design and manage the network of the future using promising technologies as Artificial Intelligence (AI), 5G and Blockchain. A weblink to the press release is https://overons.kpn/nl/nieuws/2018/kpn-en-tu-delft-gaan-samenwerken-aan-nieuwe-ict-technologieën 


In particular, 2 PhD openings are defined on the following themes:




1. 5G for Ultra Reliable Low Latency Communications (URLLC) for Smart Industry Applications


Mission-critical applications (e.g. autonomous and remotely controlled robots) require ultra-reliable and low-latency communications in often extremely challenging environments. Technological and network management solutions (access control, scheduling, device-to-device communications, link adaptation and edge computing) need to be designed.


Background: telecommunications, electrical / computer engineering, queueing theory / stochastic processes
Supervisors: Remco Litjens and Piet Van Mieghem (NAS)




2. 5G resilience through network programmability


To enable autonomous, self-healing 5G networks by leveraging current advances in network programmability and artificial intelligence.


Background: network programmability (incl. software-defined networking, programmable data-planes, and network functions virtualization) and algorithmics (incl. AI)


Supervisors: Fernando Kuipers and Koen Langendoen; Embedded Software group


More information: https://fernandokuipers.nl/LOIS/, http://www.es.ewi.tudelft.nl/






We are looking for brilliant PhD candidates with a strong interest to the join a university-company collaboration on future Networking. The specific desired background per theme is listed above.


Because of project definitions, we are looking for EU citizens.


Conditions of employment


The TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.


As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit graduateschool.tudelft.nl/ for more information.


Information and application


To apply, please e-mail a detailed CV along with a letter of application by February 1st 2019 to Lotte Ophey at HR-EEMCS@tudelft.nl, with a clear choice for only 1 of the themes above.


When applying for this position, please refer to vacancy number EWI2018-22b.

If you apply for this position please say you saw it on Computeroxy


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