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Degree Doctorate in Informatics (Dr-Ing or Dr rer nat) Course location Saarbrücken In cooperation with Max Planck Institute for Informatics (MPII) Max Planck Institute for Software Systems (MPI-SWS
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of data, services, interaction devices, and use cases influence the evolution of software and systems to guarantee the essential properties such as reliability, performance, autonomy, and adaptability
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methods and tools for model development and evaluation. Embedded systems, real-time computing, hardware-software co-design, and hardware-oriented system design. Hardware security or cyber-physical system
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or communication systems Understanding principles for RF system architecture, circuit design, signal processing, antenna beamforming, and use of software-defined radios (SDR) Experience with CAD and microwave/EM
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frameworks. Should be comfortable working with machine learning methods and tools for model development and evaluation. Embedded systems, real-time computing, hardware-software co-design, and hardware-oriented
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or communication systems Understanding principles for RF system architecture, circuit design, signal processing, antenna beamforming, and use of software-defined radios (SDR) Experience with CAD and microwave/EM
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study programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations
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contribute to the design of a suitable GNSS-R payload, including RF architecture and on-board processing system. The candidate will contribute to research on suitable on-board (edge) processing techniques
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the development of specialized hardware architectures capable of efficient, real-time processing. Embedded AI hardware architectures, including neuromorphic processors and low-power AI accelerators
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, technical, to economic systems. The supervision team consists of Dr. Huijuan Wang from MMC and Dr. Eric Smeitink from KPN and the Network Architectures and Services Group. The PhD position is part of