Publisher
source

University of Bremen

MSCA Postdoctoral Fellowships in Semantic Communication, 6G Networks, Wireless Systems, and Sensor Networks at University of Bremen University of Bremen in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is for a Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship, which is a prestigious and competitive European fellowship providing full funding, including salary, research costs, and mobility allowance. The fellowship is hosted at the University of Bremen, Germany.

Deadline

Sep 9, 2026

Country flag

Country

Germany

University

University of Bremen

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Information Technology
Wireless Sensor Network
Multi-agent System
Digital Twins

About this position

The Department of Communications Engineering at the University of Bremen, Germany, invites outstanding postdoctoral researchers to jointly apply for the Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship 2026. This prestigious fellowship offers the opportunity to conduct cutting-edge research in physical-layer and wireless systems for future 6G networks within an international and highly collaborative environment.

Four main research areas are available:

  • Semantic Communication (SemCom): Focuses on AI-driven, meaning-aware transmission, digital twins, and multi-agent systems, exploring the intersection of information theory, AI, and cognitive systems.
  • Resilient 6G Networks: Investigates cognitive, AI-native, and multi-domain architectures for dependable next-generation connectivity, emphasizing robust, adaptive, and intelligent network design.
  • PHY & Next-Generation Wireless Systems: Covers ISAC, Non-Terrestrial Networks (NTN), Holographic MIMO, and 3D network optimization, with a focus on AI-native physical-layer design and intelligent signal processing.
  • Event-Based Sampling & Sensor Networks: Explores asynchronous, low-power sensing combined with AI-aware signal reconstruction, aiming to develop low-complexity, energy-efficient sensor networks.

Eligibility: Applicants must hold a PhD degree, have no more than 8 years of post-PhD research experience, and comply with the MSCA mobility rule (not residing or working in Germany for more than 12 months within the last 36 months before the deadline). Candidates should have a strong background in wireless communications, signal processing, or related fields.

Funding: The MSCA Postdoctoral Fellowship provides full funding, including salary, research costs, and mobility allowance, making it a highly competitive and attractive opportunity for early-career researchers.

Application Process: Interested candidates should prepare a CV and a 1–2 page research idea aligned with the research topics. Applications should be sent to the relevant supervisor listed for each research area. Full details and contact information are available on the department's job page.

For more information and to apply, visit the official job page or contact the supervisors directly via email.

Application deadline: 9 September 2026.

Funding details

The position is for a Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship, which is a prestigious and competitive European fellowship providing full funding, including salary, research costs, and mobility allowance. The fellowship is hosted at the University of Bremen, Germany.

What's required

Applicants must hold a PhD degree and have no more than 8 years of post-PhD research experience. The MSCA mobility rule applies: candidates must not have resided or worked in Germany for more than 12 months within the last 36 months before the deadline. Applicants should have a strong background in wireless communications, signal processing, or related fields. Submission of a CV and a short (1–2 pages) research idea aligned with the research topics is required.

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Professors

Professor

University Name
Country flag

Germany

Research Interests

Internet Of Things

Artificial Intelligence

Distributed Algorithms

Mimo Systems

Channel Modeling