Position
PhD-student
Irène Curie Fellowship
No
Department(s)
Electrical Engineering
FTE
1,0
Date off
29/01/2023
Reference number
V36.6171
Job description6G mobile networks will most probably emerge as a wide envelop of wired and wireless technologies to satisfy even the most demanding applications. Yet, their dependence to distributed AI at the edge poses significant challenges at design-time and runtime. On the one hand, edge computing pushes our computing paradigm to lower energy efficiency and intensity as it cannot harvest on the benefits of computing instances concentration (i.e. optimized cooling and management overhead) at ultra-large data centers. On the other hand, the promise of edge computing is to enable ultra reliable and low latency applications that the current paradigm does not facilitate. A main barrier for power efficient ultra reliable and ultra low latency edge computing is the disjoint optimization of the network connecting the computing instances and the schedule of tasks to those instances. For instance, while Kubernetes allocates tasks to computing instances, SDN controllers separately optimize their network paths that interconnect them.
The main objective of this PhD position is to explore novel methods/techniques from distributed AI domain able to capture the requirements of interconnected tasks, the short/long-term availability of computing instances, the short/long-term capacity of network links and design at runtime ultra reliable and low latency network and compute slices.
As part of the Advanced Networking Lab and the Center for Wireless Technology (CWTe), the project invites candidates with strong analytical skills and will to apply and experiment with novel approaches on our computing cluster, 5G Core, Backhaul and/or Radio Access Network laboratory testbeds. The position is embedded to a large European wide consortium HiCONNECTs of 45 partners (Nvidia, Thermo Fisher Scientific, NXP Semiconductors, to name but a few).
Job requirementsThe PhD researcher should demonstrate:
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands- on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Information
Do you recognize yourself in this profile and would you like to know more? Please contact dr. Georgios Exarchakos (g.exarchakosattue.nl) for more details.
Visit our website for more information about the application process or the conditions of employment. You can also contact HRServices.fluxattue.nl.
Are you inspired and would like to know more about working at TU/e? Please visit www. tue.nl/en/education/graduate-school/ and our career page to find out more about working at TU/e!
Application
We invite you to submit a complete application by using the apply button. The application should include a:
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.