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Field
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a position as research assistant or postdoc in the field of Signal Processing for Detection
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, equipment racks, making electrical connections, connecting gas and liquid supply lines, vacuum systems and associated hardware. Ability/experience in aligning optical systems. Use SolidWorks to design simple
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neuromorphic and energy-efficient hardware architectures. Early concepts – such as Intel's MESO logic gate – illustrate the transformative potential of multiferroic technologies and motivate deeper scientific
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design for different RF bands (FR3, MMW, sub-THz/THz) Analog/digital/hybrid beamforming Integrated sensing and communication Reconfigurable intelligent surfaces Hardware-constrained signal processing
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research on the design and development of next-generation wireless communication systems. Specific topics include, but are not limited to, waveform design for the THz spectrum under hardware constraints
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established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low-frequency and high-frequency measurement
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), including real time or hardware in the loop validation Plan and execute measurement campaigns and lab experiments for key J CROSS use cases, e.g. remote ranging, SAR imaging, object detection, and benchmark
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integration, and energy storage systems. Designing and implementing sector coupling solutions by integrating electricity, heating, cooling, and potentially transport systems to enhance overall system efficiency
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learning analytics, with a focus on the deployment of eye-trackers or fNIRS devices; creating end-to-end prototypes of AI systems, including LLM integration, backend development, and interface design and
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, tape-out, and testing, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing. ● Emerging AI