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Field
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Neuromorphic and AI-Optimized Processors – Design AI-specific chip architectures, including neuromorphic and domain-specific accelerators (TPUs, NPUs, FPGAs), for low-power and real-time AI processing. AI-Driven
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related to developing, securing, or using AI chips and workloads, from edge devices to data centers. Topics of interest include, but are not limited to, GPUs, FPGAs, custom accelerators, protecting model IP
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Communications protocols OSI stack UDP/TCP/IP Familiarity with wireless specifications such as cellular(4G/5G)/Wi-Fi (802.11) FPGA development Microcontroller and Digital Signal Processor (DSP) development MATLAB
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Engineering). Our partners and funding projects provide access to hardware testbeds, such as RISC-V vector processors, Fujitsu A64FX, AWS Graviton3, FPGAs, etc. As PhD student, 80% of your time be devoted
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++. Experience in RTL design and FPGA prototyping using VHDL/Verilog and/or HLS tools is highly desirable A research-oriented attitude along with a result-focused mindset. Ability to work in a collaborative
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, methodologies, tools, and techniques to prevent risks and issues, and mitigate those that emerge. Analyze FPGA hardware and software interface specifications described via VHDL or Verilog to ensure it meets
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adapted to the relevant target group. Preferred selection criteria The candidate should have experience with state-of-the art Electronic Design Automation and Electronic System Level tools for ASIC, FPGA
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programming (including a C-to-Python library), and building a computing and networking infrastructure for a new laboratory, including experimental control software and FPGA programming. Position is expected
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control software and FPGA programming. Position is expected to last for 10 months, and could additionally incorporate opportunities in vacuum chamber and electronics design depending on candidate interest
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Experience in power converter control, and digital control based on FPGAs Experience in the use of GaN and SiC switches for power conversion Experience in the use of electrical simulation tools and the