Ph.D. Student Positions in Machine Learning for Next Generation Mobile Networks

  • Universität Bern
  • Bern, Bern, Switzerland
  • 18/10/2023
Full time Data Science Machine Learning Artificial Intelligence Software Engineering DevOps

Job Description

We are looking for several Ph.D. students in two upcoming research projects with international partners. Both projects offer opportunities for international collaboration and research visits. The positions are available from January 1, 2024.

The first project is a collaboration between Northeastern University in Boston (USA) and the CDS (Communication and Distributed Systems, research group at University of Bern. The project will be funded by SNSF and NSF. It will focus on distributed machine learning algorithms and mechanisms to support rapid beamforming for massive multiple-input multiple-output antenna (MIMO) systems.
The second project is an EU Horizon project with several European partners from industry, academia and public research organizations. The goal is to develop a service-oriented, AI-native, and cloud-based 6G network architecture. The CDS group will mainly focus on AI-enabled resource and service orchestration automation and the cloud continuum orchestration framework.


The ideal candidate has good understanding of networked systems, machine learning, software engineering, and mobile communication networks. A Master degree in computer science, electrical engineering or related fields is required. Very good English (written and oral) is essential.

We offer

We offer competitive salaries. University of Bern is typically ranked in the top 150 universities worldwide. It is a comprehensive university with focus on excellent research. The city of Bern is the Swiss capital in the center of Switzerland with some of the highest quality of life worldwide.

How to apply

Please send your application as a single PDF document including a short motivation letter, CV, Master thesis, publications, and transcripts from Bachelor and Master studies by e-mail to Priska Grunder (
) by the end of October 2023. For questions regarding the program, please contact Prof. Torsten Braun (
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