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Field
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Dynamic Systems offers a position as Research Associate / PhD Student in FPGA Design for AI Applications (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13
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Hardware Engineer in the Data Acquisition Hardware Group who will use your skills architecting, constructing and programming data acquisition hardware systems composed of field programmable gate array (FPGA
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Qualifications: PhD in Electrical and/or Computer Engineering or closely related fields, with demonstrated knowledge and expertise in FPGA Design and signal processing Demonstrated experience with VHDL Hardware
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Institute. They will interact with DataSig’s scalable computation objective of extending our RoughPy framework to support GPU/FPGA acceleration for real-time stream processin. The successful candidates will
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well as a postgraduate PhD research program for over 50 students. 33 academic staff conduct theoretical and experimental research in quantum physics, astrophysics, fundamental physics; and condensed matter
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limited to digital electronics (including FPGAs and VHDL) distributed network control, Data Integration, Management and Cybersecurity and integration of hybrid/electric vehicles into energy infrastructure
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PhD students, postdocs, and faculty on joint projects, ensuring experimental results support theoretical work. Co-author scientific publications in IEEE journals and conferences, and contribute to open
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applications. The role involves developing and upgrading digital Low-Level RF systems, FPGA-based real-time electronics, and software platforms, using innovative feedback techniques and advanced programming
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devices like smart glasses and hearables, and autonomous driving applications. We are looking for highly motivated PhD researchers with a strong interest in hardware-software design for embedded systems
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Systems and IoT Drive innovation in the computational heart of modern devices and systems - Microcontroller and FPGA-based design, real-time operating systems, wireless sensor networks, edge computing