Ph.D positions

  • EU H2020 One5G: E2E Wireless Networking for 5G Wireless Networks

Job description:

The group is seeking an outstanding PostDoc (preferred) or PhD student in the field of E2E Wireless Networking for 5G Wireless Networks, specifically in the field of multi-service operation, SDN, virtualization, and virtual base station design in the CRAN/DRAN. The candidate will develop and implement wireless network protocols, and assess their performance towards fundamental limits, to enable 5G virtual base station design with E2E performance requirements. The project is part of the EU H2020 5GPPP flagship project ONE5G on the development of the upcoming 5G New Air Interface.

Requirements:

Applicants must possess a master degree in computer science, mathematics, electrical engineering or similar. Applicants with strong skills in mathematics will be given preference.

Desirable:

The candidate is expected to have a profound knowledge in the field of wireless networking (particularly SDN) as well as controlled queueing systems and modern graph theory. Additional knowledge on fundamental information-theoretic limits for cooperative wireless networking is desired.

To be considered please send a short cover letter outlining your background, a detailed CV including possibly some references, and all relevant certificates to g.wunder@fu-berlin.de.

 

  • EU H2020 One5G: Advanced Signal Processing for 5G Wireless Networks

Job description:

The group is seeking an outstanding PostDoc (preferred) or PhD student in the field of Advanced Signal Processing for 5G Wireless Networks, specifically in the field of robust cooperative designs for massive MIMO and distributed/centralized massive antenna systems (CRAN/DRAN). The candidate will develop and implement advanced signal processing algorithms, as well as analyze their performance towards the fundamental information-theoretic limits, to enable robust and scalable cooperation in 5G networks. The position is part of the EU H2020 5GPPP flagship project ONE5G on the development of the upcoming 5G New Air Interface.

Requirements:

Applicants must possess a master degree in mathematics, electrical engineering, computer science or similar. Applicants with strong skills in mathematics will be given preference.

Desirable:

The candidate is expected to have a profound knowledge in the field of modern signal processing for communications specifically Compressed Sensing, and/or Prediction, and/or Machine Learning Tools. Additional knowledge on fundamental information-theoretic limits for cooperative wireless networking is desired. Advanced algorithms shall be implemented in @Matlab.

To be considered please send a short cover letter outlining your background, a detailed CV including possibly some references, and all relevant certificates to g.wunder@fu-berlin.de.

  • Physical Layer Security in the Internet of Things, Tactile Internet, and Fog Networks

Soon to be published