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focused on the challenge of accelerating ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track
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ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track record in conducting machine learning research
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. During the project, these modules will be emulated by RF FPGA boards designed at the beginning of the project. The first objective of the project will therefore be to propose a very low cost wireless link
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topics. Candidates should have some experience working with FPGAs as well as an understanding of computer networks. Experience with both RTL and HLS design is favoured. The ideal candidate would have some
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software and hardware (knowledge on working with FPGAs and ASICs will be preferred). Achievement of the expected progression within Post Doc and Senior Post Doc is transferable between the Irish HEI’s
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know the fundamentals of quantum computing. It is also expected that the participant has knowledge to work on diverse software and hardware (knowledge on working with FPGAs and ASICs will be preferred
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will be involved in crafting and applying high-accuracy algorithms for a Spiking Neural Network (SNN) processing unit, to be executed on FPGA and ASIC. As a Postdoc, your key responsibilities will be
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Postdoctoral Scholar to join the team. The focus of this role is to contribute to the rapidly evolving quantum computing technologies by developing the FPGA based control systems for a wide range of advanced
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. The focus of this role is to contribute to the rapidly evolving quantum computing technologies by developing the FPGA based control systems for a wide range of advanced qubit technologies, including
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
to participate in the detector and ASIC developments for beyond the HL-LHC upgrade. There will also be opportunities to participate in the ATLAS data analysis and in teaching at the university. A PhD in particle