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Field
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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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experience dealing with custom hardware, FPGAs, and using/writing APIs to communicate with the hardware Like to live in the intersection of biology, hardware, and coding Ability to prioritize and conduct
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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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skills in designing advanced neural networks (including Vision Transformers, Graph Convolutional Networks, and Spiking Neural Networks), hardware implementation of algorithms for reconfigurable FPGA
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a suit of fast electronics (FPGA) that will allow the following achievements: 1) To rapidly repeat single-particle experimental dynamical trajectories to gain sufficient counting statistics in order
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attacks on QKD sources or single-photon detectors. Experience with microelectronics, fast signal processing, and circuit design, including FPGA-based control, real-time acquisition, and hardware description
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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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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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models is desired - Experience with detector (Geant4) and electronics simulation would be beneficial - Experience with FPGA firmware development and familiarity with trigger systems would be beneficial