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++ programming languages and data analysis techniques General knowledge of microelectronics and FPGAs (VHDL or Verilog) is desirable Knowledge in radiation physics and dosimetry Interdisciplinary collaboration
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 10 days ago
develops various tools such as the Faust programming language (a DSL for Real-Time audio DSP), Syfala (a tool to facilitate the programming of FPGAs for real-time audio DSP), and FloPoCo (a generator of
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., GNURadio, Matlab, LabView), and/or FPGA development (e.g., VHDL) is a plus. You are a team player and have strong communication skills. You have a high proficiency in oral and written English. You comply
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to an international team a strong background in one or more of the following areas: field programmable gate arrays (FPGAs), hardware description languages (e.g. VHDL or Verilog), high-level synthesis (HLS), artificial
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experience of ASICS and electronics Good language skills, in particular a good command of both written and spoken English. Desired qualifications: Experience with manufacturing and quality assurance systems
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Reconfigurable/Spatial computing architectures, such as FPGAs, CGRAs, and AI accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs
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intelligence. This PhD project will leverage the power of field-programmable gate arrays (FPGA) to deploy machine learning models on the edge with low latency and high energy efficiency. This added intelligence
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++, etc.); experience with FPGA and ASIC design flow; A collaborative spirit for teamwork within diverse project groups; Excellent communication and presentation skills and creative thinking; Fluency in
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energy-efficient CMOS blocks implementing SSM-based LLMs. Prototype hardware blocks on FPGA and prepare for ASIC tape-out. Benchmark performance and comparison with transformer accelerators. Work with
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, Computer Science, or related field with excellent grades. Sound knowledge of computer hardware design and synthesis tools (ASIC, FPGA). Good programming and scripting skills. Excellent English communication