Armin Dekorsy
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About
Armin Dekorsy is a Professor at the University of Bremen, Germany. His research areas focus on advanced communication systems, including multiterminal joint source-channel coding, semantic communication, and federated learning in satellite networks. He has contributed significantly to the development of algorithms for energy efficiency maximization in integrated sensing and communication as well as channel estimation techniques in OFDM systems.
Recent Grants
Grant: Close
Algorithms and hardware structures for efficient provision of raw data in invasive neurosystems
Open Date: 2013-01-01
Close Date:
Grant: Close
Joint Optimization of Generalized Multicarrier Waveforms and Power Allocation for Two-Way Relay Systems
Open Date: 2013-01-01
Close Date:
Grant: Close
Nonlinear Compressive Sensing multiuser detection: algorithms and hardware architectures
Open Date: 2012-01-01
Close Date:
Grant: Close
Physical Layer Network Coding in Two-Way Relaying Systems with Multiple-Antenna Relays or Distributed Single-Antenna Relays
Open Date: 2011-01-01
Close Date: 2014-12-31
Grant: Close
Compressive Sensing Multiuser-Detection for Code-Multiplex-Systems
Open Date: 2011-01-01
Close Date:
Positions (1)
University of Bremen
University of Bremen
1 month ago
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.
1 month ago
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