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connected to the ANR PRC AATLAS project (coordinated by Alexandre Locquet), which provides the FPAA+FPGA platform, hardware ecosystem and energy-benchmarking framework. The thesis will be carried out in
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Switzerland. Develop a prototype hardware implementation of different signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS
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/RF classification and feature extraction, software defined radio or prototype radar systems, GPU/FPGA acceleration or high-performance computing. Desirable Knowledge, Skills, and/or Abilities 1. Active
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involves: Hardware integration – assembling measurement systems from individual components (e.g., signal generators, spectrum analyzers, antennas, mixers, SDRs, FPGAs, ADCs/DACs) Test system validation
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change You will work on the design, simulation, and testing of digital control concepts (e.g., using MATLAB/Simulink or Python) You will implement these on FPGA boards and evaluate them in terms
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systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most difficult software
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years of experience, in Electrical Engineering, Telecommunications Engineering, or a closely related field. SDR Expertise: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA
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background in AI-enabled signal processing and machine learning algorithms, have experience with embedded platforms (e.g., NPU, FPGA, ARM Cortex-M), be proficient in programming languages like C, C++ and
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approach that bridges the analog and digital domains. The research will focus on integrating high-performance analog front-ends--critical for signal purity--with modern FPGA-based digital signal processing
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well as an understanding of the FPGA architecture. User experience design and implementation. 15% Multi-institutional Project Development: Participates in multi-institutional planning. Travel for development and for