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Fellow: Novel Antenna R&D Engineer School of Electronics, Electrical Engineering & Computer Science (EEECS) Ref: 24/111652 Duration: This post is available on a fixed term contract for 36 months
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of the Project MARES – Satellite-based microwave remote sensing for marine litter mapping. This project is funded by own funds. Scientific Area: Wireless Technologies Group: Antennas and Propagation – Lx Work
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Antennas, filters, RF chip technology, electromagnetic metamaterials, etc. Optoelectronic Materials and Devices Microwave dielectric ceramic, transparent materials, photonic crystals, etc. Piezoelectric
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For Communication And Sensing - SENSES." The role involves focusing on the communication theoretical foundations, signal processing, and machine learning to optimize the physical layer of upcoming multi-antenna
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. Demonstrable knowledge of antenna theory, transmission line theory and electromagnetic theory. Experience using modelling tools, such as MATLAB, Python, CST, FEKO, and/or HFSS. Experience in MIMO systems and
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following criteria: Have or be about to obtain a PhD in a relevant area. Relevant research experience, including: Design and implementation of MIMO and massive MIMO systems. Demonstrable knowledge of antenna
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Engineering • Several years of experience in the simulation and design of microwave circuits and subsystems. • Experience in the design of LNA, PA, mixer, control circuitry and antennas. • Experience
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on the followings such as: • Research on bioelectronics; • Antenna and wireless system design; • PCB schematics and layout design Qualifications • Possess a PhD in Neural Engineering
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undertaking research in the RF & Antennas Research Group. The work will involve research in the development and application of the metamaterials and metasurfaces as defined by the research contract with
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Job Description The researcher will be assigned to develop the machine-learning enabled synthesis method and algorithms to enhance performance of phased array antennas. The researcher will study the