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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and pharmacy. In close collaboration with partners from industry, healthcare, and society, we contribute to...
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investigated. 4. Advanced Control and Modelling Multi-modular distributed motor-drive architectures and ultra-fast semiconductor devices present significant control challenges. Research may involve FPGA-based
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. 4. Advanced Control and Modelling Multi-modular distributed motor-drive architectures and ultra-fast semiconductor devices present significant control challenges. Research may involve FPGA-based
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microcontrollers and FPGA-based systems. Validate and optimize your developments both in laboratory environments and field trials. Understand and optimize sensor behavior: Analyze sensor signals, identify
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will develop an advanced emulation framework, potentially FPGA-accelerated, for self-aware neuromorphic system-on-chip (SoC) architectures, enabling fast and accurate exploration of emerging hardware and
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architectures and embedded platforms (ARM Cortex-M, NPU, FPGA, embedded GPU), e.g., via academic courses and/or project courses Research experience (e.g., through a Master thesis work or research internships) is
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. – knowledge of computer vision; knowledge of deep learning architectures; – Knowledge of C++, Python, Matlab; – Analog/digital circuits IC design capability; – Testing of electronic devices and systems; FPGA
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full-custom design and RTL-based flows through synthesis and place-and-route to tape-out Verify and characterise your designs, from simulation and FPGA to measurement of the fabricated chips in our
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Raspberry Pi, Arduino, or FPGA will be considered an asset. LanguagesENGLISHLevelExcellent Research FieldPhysics » Solid state physics Internal Application form(s) needed Application Form Overview -QuanG2.pdf
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at different timescales, exploring trade-offs between different design choices, quantizing the models, and implementing the best-performing ones in custom digital hardware, on FPGA and/or in an application